From fa44c5194873fcb98c79dcd415842c328762cd47 Mon Sep 17 00:00:00 2001
From: BlivionIaG <15323295+BlivionIaG@users.noreply.github.com>
Date: Mon, 26 Oct 2026 09:06:32 +0100
Subject: [PATCH 1/7] lanes: an external drafter's chain chances price verify
 rows, and its holds follow the grants

A drafter that gives each held chain draft's chance (Drafter.VTable.chances) may set Facts.chances. Drafted.facts
then sets Model.draft_probabilities and Model.granted_depth, so the window allocator prices each stream's verify
rows by those chances, as it does a head's node chances. With Facts.confidence_floor it instead verifies the
drafts at least that likely (a fixed window when 0).

With granted_depth a stream's next hold is as deep as its last grant plus a slack: one more draft when the grant
took every held draft, none when it stopped short of them (Stream.grant_short), and after a grant of none a probe
of draft_slack drafts at the depth rule's probe interval. Facts.slack sets one slack for all three. A shared
round's granted depths are cut so the drafting streams' blocks fit one hold pass of batch_rows. When the
shared-round guard starts a drafted stretch, its first round grants every stream one draft, so the stretch
measures drafted rounds rather than plain ones left by grants of none.

All of it is behind Facts.chances and Model.granted_depth, off by default; windows.allocate records
grant_short only for granted depths.

Tests: chances price the chain's rows and drafted replies equal one-token decode alone and at 1, 4 and 8 shared
streams, with the scheduled verify ragged across streams and verifying fewer rows than a fixed window; the facts
reach the lane config; granted depths, their slacks and the one-pass cut; holds as wide as the grants.
---
 zig/src/core/lanes/config.zig               |  11 +-
 zig/src/core/lanes/depth.zig                |  62 ++++-
 zig/src/core/lanes/drafted.zig              |   7 +
 zig/src/core/lanes/drafted_chances_test.zig | 266 ++++++++++++++++++++
 zig/src/core/lanes/drafter.zig              |   3 +
 zig/src/core/lanes/engine.zig               |   1 +
 zig/src/core/lanes/lanes.zig                |   1 +
 zig/src/core/lanes/stream.zig               |   2 +
 zig/src/core/lanes/windows.zig              |   7 +-
 9 files changed, 355 insertions(+), 5 deletions(-)
 create mode 100644 zig/src/core/lanes/drafted_chances_test.zig

diff --git a/zig/src/core/lanes/config.zig b/zig/src/core/lanes/config.zig
index a6721fcf57..71c455637a 100644
--- a/zig/src/core/lanes/config.zig
+++ b/zig/src/core/lanes/config.zig
@@ -36,6 +36,8 @@ pub const Model = struct {
     max_streams: u32 = 0, // a shared forward's streams at most (0: 32)
     shared_costs: []const Cost = &.{}, // shared forwards' ms by total rows (timed at load)
     draft_probabilities: bool = false, // the head gives each drafted node's chance of landing
+    granted_depth: bool = false, // with draft_probabilities: every stream drafts its last grant plus a slack
+    draft_slack: u32 = 0, // drafts past a stream's last grant, short or not (0: the Constants' own)
     draft_streams: bool = false, // the head drafts every stream of a shared round in one batch
     head_trees: bool = false, // the head drafts trees of lanes (DraftRequest.lanes) and holds them
     join_tail: bool = false, // a prompt in pieces leaves its last token for the next shared round's window (Backend.join)
@@ -66,6 +68,7 @@ pub const Config = struct {
     batch_rows: u32,
     batch_streams: u32,
     node_probabilities: bool,
+    granted_depth: bool = false, // Model.granted_depth
     fill_lanes: u32 = 0, // rows a window may grow to with suffix-match branches (0: off; lanes/fill.zig)
     fill_match: u32 = 8, // context tokens a suffix-match branch must match (shorter ones are coincidental phrases)
     fill_floor: f64 = 0.35, // the share of grafted rows a stream must keep to go on reading its chain back every round
@@ -149,6 +152,7 @@ pub const Config = struct {
             .batch_rows = batch_rows,
             .batch_streams = if (streams) (if (m.max_streams != 0) m.max_streams else 32) else 1,
             .node_probabilities = m.draft_probabilities or m.draft_confidence != null,
+            .granted_depth = m.granted_depth and m.draft_probabilities,
             .draft_streams = m.draft_streams,
             .head_trees = m.head_trees,
             .join_tail = m.join_tail,
@@ -160,7 +164,12 @@ pub const Config = struct {
             .shared_costs = try alloc.extendCosts(gpa, timed.items, batch_rows),
             .lane_costs = try alloc.extendCosts(gpa, m.lane_costs, 64),
             .mtp_step_ms = m.mtp_step_ms,
-            .k = .{ .depth_rate = if (m.depth_rate > 0) m.depth_rate else (Constants{}).depth_rate },
+            .k = .{
+                .depth_rate = if (m.depth_rate > 0) m.depth_rate else (Constants{}).depth_rate,
+                .draft_slack = if (m.draft_slack > 0) m.draft_slack else (Constants{}).draft_slack,
+                .grant_slack = if (m.draft_slack > 0) m.draft_slack else (Constants{}).grant_slack,
+                .short_slack = if (m.draft_slack > 0) m.draft_slack else (Constants{}).short_slack,
+            },
             .draft_step_ms = m.draft_step_ms,
         };
     }
diff --git a/zig/src/core/lanes/depth.zig b/zig/src/core/lanes/depth.zig
index 8595a67aab..2f80da8edd 100644
--- a/zig/src/core/lanes/depth.zig
+++ b/zig/src/core/lanes/depth.zig
@@ -12,6 +12,8 @@ pub const Constants = struct {
     plain_margin: f64 = 1.05, // a drafted depth must beat plain rounds' tokens a ms by this much
     plain_wait_most: u64 = 128, // plain rounds between probes at most
     draft_slack: i64 = 2, // drafts a stream offers past what its last shared round granted it
+    grant_slack: i64 = 1, // granted depths: drafts past a grant that verified every draft the stream held
+    short_slack: i64 = 0, // granted depths: drafts past a grant that left some of them unverified
 };
 
 /// A stream's acceptance by depth and probe counters (Python `_depth_state[stream]`).
@@ -35,6 +37,7 @@ pub const Who = struct {
     finished: bool,
     forced: bool,
     granted: ?u32 = null,
+    grant_short: bool = false, // the last grant left some held drafts unverified (the width did not bind)
     stream: ?*anyopaque = null,
     sampled: bool = false, // keyed draws: host work a row that a greedy round does not have
 };
@@ -59,6 +62,7 @@ pub const Rule = struct {
     draft_step_ms: f64 = 0, // a shared round's draft past a stream's first (budgets price it)
     plain_guard: bool,
     node_probabilities: bool,
+    granted_depth: bool = false, // node_probabilities: a stream drafts its last grant plus draft_slack, lone ones too
     confidence_floor: ?f64 = null,
     batch_rows: u32,
     batched_heads: bool = false, // one batch drafts every stream of a shared round (its steps: the deepest stream's)
@@ -192,9 +196,28 @@ pub const Rule = struct {
         return true;
     }
 
+    /// Drafts past a grant: none when it stopped short of the held drafts (the width did not bind), else grant_slack.
+    fn slack(r: *const Rule, who: Who) i64 {
+        return if (who.grant_short) r.k.short_slack else r.k.grant_slack;
+    }
+
+    /// The last grant plus its slack (the deepest chain before any); after a grant of none, a probe of draft_slack.
+    fn grantDepth(r: *Rule, who: Who) !i64 {
+        const most = @min(@as(i64, r.most_drafts), @max(1, who.draft_room - 1));
+        const granted = who.granted orelse return most;
+        _ = try r.rates(who);
+        const st = &who.state.*.?;
+        if (granted == 0) return if (!r.plain_guard or r.probePlain(st)) @min(most, r.k.draft_slack) else 0;
+        st.plain = 0;
+        st.wait = r.k.depth_probe_every;
+        return @min(most, @as(i64, granted) + r.slack(who));
+    }
+
     /// Python `_head_depth`: the next round's head drafts for a stream (0 when forced, 1 with a copy ahead).
     pub fn headDepth(r: *Rule, who: *const Who, budget: ?i64, probe: Probe) !i64 {
-        const d: i64 = if (who.finished) 0 else if (budget) |b| b else if (r.node_probabilities)
+        const d: i64 = if (who.finished) 0 else if (budget) |b| b else if (r.granted_depth)
+            try r.grantDepth(who.*)
+        else if (r.node_probabilities)
             @min(@as(i64, r.most_drafts), @max(1, who.draft_room - 1))
         else
             try r.depth(who.*);
@@ -203,6 +226,15 @@ pub const Rule = struct {
         return d;
     }
 
+    /// A shared hold pads every block to its deepest: depths cut so the drafting streams' blocks fit `rows` (one pass).
+    fn capPass(out: []i64, rows: u32) void {
+        var n: i64 = 0;
+        for (out) |d| n += @intFromBool(d > 0);
+        if (n == 0) return;
+        const most = @max(1, @divFloor(@as(i64, rows), n));
+        for (out) |*d| d.* = @min(d.*, most);
+    }
+
     /// Head drafts for the streams of a shared round, sized by allocation over their chain chances.
     pub fn budgets(r: *Rule, whos: []Who, probe: Probe, sampled: bool, out: []i64) !void {
         if (r.confidence_floor != null) {
@@ -213,8 +245,9 @@ pub const Rule = struct {
             for (whos, out) |*w, *o| {
                 const inner = try r.headDepth(w, null, probe);
                 const granted: i64 = if (w.granted) |g| g else r.most_drafts;
-                o.* = try r.headDepth(w, @min(inner, granted + r.k.draft_slack), probe);
+                o.* = try r.headDepth(w, if (r.granted_depth) inner else @min(inner, granted + r.k.draft_slack), probe);
             }
+            if (r.granted_depth) capPass(out, r.batch_rows);
             return;
         }
         const most = try r.gpa.alloc(i64, whos.len);
@@ -381,3 +414,28 @@ test "a shared round's drafts come out the same whichever depths its overhead wa
     }
     try std.testing.expectEqualSlices(i64, &got[0], &got[1]);
 }
+
+test "granted depths in a shared round fit one hold pass: every block is as deep as the deepest" {
+    const empty: Table = .{};
+    var rule: Rule = .{ .gpa = std.testing.allocator, .prior = &.{0.8}, .most_drafts = 9, .family_costs = &empty, .shared_costs = &empty, .mtp_step_ms = 0.5, .plain_guard = false, .node_probabilities = true, .granted_depth = true, .batch_rows = 32 };
+    defer rule.deinit();
+    var states: [8]?State = @splat(null);
+    defer for (&states) |*st| if (st.*) |*x| x.deinit(std.testing.allocator);
+    var whos: [8]Who = undefined;
+    for (&whos, &states, 0..) |*w, *st, i| w.* = .{ .state = st, .draft_room = 100, .finished = false, .forced = false, .granted = @intCast(i) };
+    const No = struct {
+        fn copy(_: *anyopaque, _: *const Who) bool {
+            return false;
+        }
+    };
+    var unused: u8 = 0;
+    var out: [8]i64 = undefined;
+    try rule.budgets(&whos, .{ .ptr = &unused, .copy = No.copy }, false, &out);
+    // a grant of none probes two; grants 1..7 that took every held draft, plus one; cut to 32 rows over eight blocks
+    try std.testing.expectEqualSlices(i64, &.{ 2, 2, 3, 4, 4, 4, 4, 4 }, &out);
+    try rule.budgets(whos[0..2], .{ .ptr = &unused, .copy = No.copy }, false, out[0..2]);
+    try std.testing.expectEqualSlices(i64, &.{ 2, 2 }, out[0..2]); // two blocks fit whole
+    for (whos[0..2]) |*w| w.grant_short = true;
+    try rule.budgets(whos[0..2], .{ .ptr = &unused, .copy = No.copy }, false, out[0..2]);
+    try std.testing.expectEqualSlices(i64, &.{ 2, 1 }, out[0..2]); // a grant short of the held drafts: no slack
+}
diff --git a/zig/src/core/lanes/drafted.zig b/zig/src/core/lanes/drafted.zig
index b7b9ca5bc6..cee1ec3155 100644
--- a/zig/src/core/lanes/drafted.zig
+++ b/zig/src/core/lanes/drafted.zig
@@ -105,6 +105,13 @@ pub const Drafted = struct {
         m.draft_streams = d.batched;
         m.draft_probabilities = false;
         m.head_trees = d.trees;
+        if (d.chances and x.drafter.vtable.chances != null) {
+            // a chain's drafts priced by the drafter's own chances; the next hold as deep as the grant and its slack
+            m.draft_probabilities = d.confidence_floor == null;
+            m.draft_confidence = d.confidence_floor;
+            m.granted_depth = d.confidence_floor == null;
+            m.draft_slack = d.slack;
+        }
         if (d.tree_nodes > 0) {
             // the drafter grows its own trees, best first, and prices their nodes
             m.drafts = @min(d.tree_nodes, if (target.exact_width > 1) target.exact_width - 1 else 0);
diff --git a/zig/src/core/lanes/drafted_chances_test.zig b/zig/src/core/lanes/drafted_chances_test.zig
new file mode 100644
index 0000000000..02c5eb4cb1
--- /dev/null
+++ b/zig/src/core/lanes/drafted_chances_test.zig
@@ -0,0 +1,266 @@
+//! A drafter that prices its chains (Facts.chances): verify rows go by its chances and replies stay one-token decode.
+const std = @import("std");
+const Config = @import("config.zig").Config;
+const Model = @import("config.zig").Model;
+const Cost = @import("config.zig").Cost;
+const Engine = @import("engine.zig").Engine;
+const be = @import("backend.zig");
+const sm = @import("stream.zig");
+const fake = @import("fake.zig");
+const dr = @import("drafter.zig");
+const depth = @import("depth.zig");
+const Table = @import("table.zig").Table;
+const Drafted = @import("drafted.zig").Drafted;
+const dt = @import("drafted_test.zig");
+
+const gpa = std.testing.allocator;
+const most_streams = 8;
+
+/// drafted_test's drafter with a chance for each held draft: `sure` where its guess is right, `unsure` where wrong.
+const Priced = struct {
+    head: dt.FakeDrafter,
+    sure: f64 = 0.7,
+    unsure: f64 = 0.7,
+    vtable: dr.Drafter.VTable = undefined,
+    inner_hold: *const fn (*anyopaque, []const dr.Hold) anyerror!void = undefined,
+    at: std.AutoHashMapUnmanaged(*sm.Stream, u64) = .empty, // each stream's last hold's position
+    asked: u32 = 0,
+    held: u64 = 0, // drafts its holds asked for
+
+    fn of(ptr: *anyopaque) *Priced {
+        return @fieldParentPtr("head", @as(*dt.FakeDrafter, @ptrCast(@alignCast(ptr))));
+    }
+
+    fn hold(ptr: *anyopaque, items: []const dr.Hold) anyerror!void {
+        const p = of(ptr);
+        for (items) |it| {
+            try p.at.put(gpa, it.stream, it.position);
+            p.held += it.depth;
+        }
+        return p.inner_hold(ptr, items);
+    }
+
+    /// The running product along the chain, as the DSpark confidence head's survivals are.
+    fn chances(ptr: *anyopaque, s: *sm.Stream, out: []f64) anyerror!bool {
+        const p = of(ptr);
+        const lane = p.head.lanes.getPtr(s) orelse return false;
+        if (out.len > lane.held.items.len) return error.TooFewDrafts;
+        const position = p.at.get(s) orelse return error.NoHold;
+        p.asked += 1;
+        var reach: f64 = 1;
+        for (out, 0..) |*o, j| {
+            const at = position + j;
+            reach *= if ((at *% 2654435761 + j) % 5 == 0) p.unsure else p.sure; // drafted_test's wrong guesses
+            o.* = reach;
+        }
+        return true;
+    }
+
+    fn drafter(p: *Priced) dr.Drafter {
+        const base_ = p.head.drafter();
+        p.vtable = base_.vtable.*;
+        p.inner_hold = base_.vtable.hold;
+        p.vtable.hold = hold;
+        p.vtable.chances = chances;
+        return .{ .ptr = &p.head, .vtable = &p.vtable };
+    }
+
+    fn deinit(p: *Priced) void {
+        p.at.deinit(gpa);
+        p.head.deinit();
+    }
+};
+
+/// Every shared verify's window rows: whether one round gave its streams unequal rows (a ragged verify).
+const Seen = struct {
+    var inner: *const fn (*anyopaque, []const be.Window, []be.Verified) anyerror!void = undefined;
+    var ragged: u32 = 0;
+    var rows: u64 = 0;
+
+    fn verify(ptr: *anyopaque, windows: []const be.Window, out: []be.Verified) anyerror!void {
+        for (windows) |w| {
+            rows += w.rows();
+            if (w.rows() != windows[0].rows()) {
+                ragged += 1;
+                break;
+            }
+        }
+        return inner(ptr, windows, out);
+    }
+};
+
+var costs: [16]Cost = undefined;
+
+fn base() Model {
+    for (&costs, 1..) |*c, w| c.* = .{ .width = @intCast(w), .ms = 5.0 + 0.8 * @as(f64, @floatFromInt(w)) };
+    return .{ .exact_width = 16, .gpu_tokens = true, .window_costs = &costs, .hidden_rows = true, .batch_rows = 32, .max_streams = most_streams };
+}
+
+const Run = struct { tokens: [most_streams][64]u32 = undefined, lens: [most_streams]usize = @splat(0), drafted: u64 = 0, holds: u32 = 0, asked: u32 = 0, ragged: u32 = 0, rows: u64 = 0, held: u64 = 0 };
+
+/// The drafter's Facts.slack for the next runs (0: the depth rule's own; 9: every hold the whole block).
+var slack: u32 = 0;
+
+/// The drafter's chances: equal everywhere, or knowing its wrong guesses (a confidence head that ranks well).
+const Head = enum { flat, knows };
+
+/// Each prompt decoded together (one stream: alone); `floor` null: the chances price rows, else a fixed window.
+fn run(prompts: []const []const u32, drafts: bool, floor: ?f64, head: Head) !Run {
+    var target: fake.Fake = .{ .gpa = gpa };
+    defer target.deinit();
+    var p: Priced = .{ .head = .{ .facts_ = .{ .depth = 9, .step_ms = 0.5, .batched = true, .chances = true, .confidence_floor = floor, .slack = slack } } };
+    if (head == .knows) {
+        p.sure = 0.95;
+        p.unsure = 0.05;
+    }
+    defer p.deinit();
+    var strict: dt.Strict = .{ .inner = target.backend() };
+    defer strict.deinit();
+    var seen = strict.backend();
+    var table = seen.vtable.*;
+    Seen.inner = table.verify;
+    Seen.ragged = 0;
+    Seen.rows = 0;
+    table.verify = Seen.verify;
+    seen.vtable = &table;
+    var wrapped = try Drafted.init(gpa, seen, p.drafter());
+    defer wrapped.deinit();
+    var cfg = try Config.init(gpa, if (drafts) wrapped.facts(base()) else base(), 16, 15);
+    defer cfg.deinit(gpa);
+    var clock: fake.FixedClock = .{};
+    var engine = Engine.init(gpa, &cfg, if (drafts) wrapped.backend() else target.backend(), clock.clock());
+    defer engine.deinit();
+    var streams: [most_streams]sm.Stream = undefined;
+    const n = prompts.len;
+    for (prompts, streams[0..n]) |prompt, *s| s.* = try sm.Stream.init(gpa, .{ .id = "s", .prompt = prompt, .max_new = 48, .eos = &.{96}, .drafts = drafts });
+    defer for (streams[0..n]) |*s| s.deinit(gpa);
+    for (streams[0..n]) |*s| try engine.addStream(s);
+    while (engine.activeCount() > 0) try engine.step();
+    var out: Run = .{ .holds = p.head.holds, .asked = p.asked, .ragged = Seen.ragged, .rows = Seen.rows, .held = p.held };
+    for (streams[0..n], 0..) |*s, i| {
+        out.lens[i] = s.emitted().len;
+        @memcpy(out.tokens[i][0..out.lens[i]], s.emitted());
+        out.drafted += s.drafted;
+    }
+    return out;
+}
+
+fn expectSame(a: Run, b: Run, n: usize) !void {
+    for (0..n) |i| try std.testing.expectEqualSlices(u32, a.tokens[i][0..a.lens[i]], b.tokens[i][0..b.lens[i]]);
+}
+
+/// `n` streams of unequal prompts, each a prefix of drafted_test's long prompt.
+fn unequal(buf: *[most_streams][]const u32, n: usize) []const []const u32 {
+    for (buf[0..n], 0..) |*p, i| p.* = dt.long[0 .. 11 + i];
+    return buf[0..n];
+}
+
+test "a drafter's chances price its chain's rows, and drafted replies equal one-token decode alone and shared" {
+    const sets = [_][]const []const u32{ &.{&dt.p1}, &.{ &dt.p1, &dt.long, &dt.p1 } };
+    for (sets) |ps| {
+        const plain = try run(ps, false, null, .flat);
+        const priced = try run(ps, true, null, .flat);
+        try expectSame(plain, priced, ps.len);
+        try std.testing.expect(priced.asked > 0 and priced.drafted > 0); // the window allocator read the chances
+        const fixed = try run(ps, true, 0, .flat);
+        try expectSame(plain, fixed, ps.len);
+        try std.testing.expect(fixed.drafted > priced.drafted); // a fixed window verifies every draft the rows fit
+    }
+}
+
+test "at 1, 4 and 8 streams the scheduled and the fixed verify equal one-token decode; shared rounds are ragged" {
+    var buf: [most_streams][]const u32 = undefined;
+    for ([_]usize{ 1, 4, 8 }) |n| {
+        const ps = unequal(&buf, n);
+        const plain = try run(ps, false, null, .flat);
+        const scheduled = try run(ps, true, null, .knows);
+        try expectSame(plain, scheduled, n);
+        const fixed = try run(ps, true, 0, .knows);
+        try expectSame(plain, fixed, n);
+        try std.testing.expect(scheduled.asked > 0 and scheduled.drafted > 0);
+        // a confident head's survivals cut each stream's chain where its guess goes wrong: fewer rows verified
+        try std.testing.expect(scheduled.rows < fixed.rows);
+        if (n > 1) try std.testing.expect(scheduled.ragged > 0); // streams' verify lengths differ within a round
+    }
+}
+
+test "the drafter's chances reach the lane facts: rows by chances and holds by grants, or a fixed window" {
+    var p: Priced = .{ .head = .{ .facts_ = .{ .depth = 9, .step_ms = 0.5, .chances = true } } };
+    defer p.deinit();
+    var target: fake.Fake = .{ .gpa = gpa };
+    defer target.deinit();
+    var wrapped: Drafted = .{ .gpa = gpa, .target = target.backend(), .drafter = p.drafter() };
+    defer wrapped.deinit();
+    const m = wrapped.facts(base());
+    try std.testing.expect(m.draft_probabilities and m.granted_depth and m.draft_confidence == null);
+    var cfg = try Config.init(gpa, m, 16, 15);
+    defer cfg.deinit(gpa);
+    try std.testing.expectEqual(@as(i64, 2), cfg.k.draft_slack); // the depth rule's own
+    try std.testing.expect(cfg.k.grant_slack == 1 and cfg.k.short_slack == 0); // a granted width's own
+    p.head.facts_.slack = 1;
+    var one = try Config.init(gpa, wrapped.facts(base()), 16, 15);
+    defer one.deinit(gpa);
+    try std.testing.expectEqual(@as(i64, 1), one.k.draft_slack); // a drafter's own slack past its grant
+    try std.testing.expect(one.k.grant_slack == 1 and one.k.short_slack == 1); // short or not
+    p.head.facts_.confidence_floor = 0;
+    const f = wrapped.facts(base());
+    try std.testing.expect(!f.draft_probabilities and !f.granted_depth and f.draft_confidence.? == 0);
+    p.head.facts_.chances = false;
+    const none = wrapped.facts(base());
+    try std.testing.expect(!none.draft_probabilities and none.draft_confidence == null);
+}
+
+test "a granted depth: the deepest chain first, then the grant plus its slack, and after a grant of none a probe" {
+    const empty: Table = .{};
+    var rule: depth.Rule = .{ .gpa = gpa, .prior = &.{0.8}, .most_drafts = 9, .family_costs = &empty, .shared_costs = &empty, .mtp_step_ms = 0.5, .plain_guard = true, .node_probabilities = true, .granted_depth = true, .batch_rows = 32 };
+    defer rule.deinit();
+    var st: ?depth.State = null;
+    defer if (st) |*s| s.deinit(gpa);
+    const No = struct {
+        fn copy(_: *anyopaque, _: *const depth.Who) bool {
+            return false;
+        }
+    };
+    var unused: u8 = 0;
+    const probe: depth.Probe = .{ .ptr = &unused, .copy = No.copy };
+    var who: depth.Who = .{ .state = &st, .draft_room = 100, .finished = false, .forced = false };
+    try std.testing.expectEqual(@as(i64, 9), try rule.headDepth(&who, null, probe));
+    who.granted = 3;
+    try std.testing.expectEqual(@as(i64, 4), try rule.headDepth(&who, null, probe)); // every held draft granted: one more
+    who.grant_short = true;
+    try std.testing.expectEqual(@as(i64, 3), try rule.headDepth(&who, null, probe)); // drafts left unverified: the grant
+    who.grant_short = false;
+    who.granted = 8;
+    try std.testing.expectEqual(@as(i64, 9), try rule.headDepth(&who, null, probe));
+    rule.k.grant_slack = 2; // a drafter's slack sets both
+    rule.k.short_slack = 2;
+    who.grant_short = true;
+    who.granted = 3;
+    try std.testing.expectEqual(@as(i64, 5), try rule.headDepth(&who, null, probe));
+    who.granted = 0;
+    var drafted: usize = 0;
+    for (0..8) |_| drafted += @intFromBool(try rule.headDepth(&who, null, probe) > 0);
+    try std.testing.expectEqual(@as(usize, 1), drafted); // one probe of draft_slack drafts in the first eight rounds
+}
+
+test "holds as wide as the grants: replies equal one-token decode at 1, 4 and 8 streams, fewer drafts than whole blocks" {
+    var buf: [most_streams][]const u32 = undefined;
+    defer slack = 0;
+    for ([_]usize{ 1, 4, 8 }) |n| {
+        const ps = unequal(&buf, n);
+        const plain = try run(ps, false, null, .flat);
+        for ([_]Head{ .flat, .knows }) |head| {
+            slack = 0;
+            const narrow = try run(ps, true, null, head);
+            slack = 2;
+            const two = try run(ps, true, null, head);
+            slack = 9;
+            const whole = try run(ps, true, null, head);
+            try expectSame(plain, narrow, n);
+            try expectSame(plain, two, n);
+            try expectSame(plain, whole, n);
+            try std.testing.expect(narrow.drafted > 0);
+            try std.testing.expect(narrow.held < two.held and two.held < whole.held);
+        }
+    }
+}
diff --git a/zig/src/core/lanes/drafter.zig b/zig/src/core/lanes/drafter.zig
index 2d82d40d04..84355e5d31 100644
--- a/zig/src/core/lanes/drafter.zig
+++ b/zig/src/core/lanes/drafter.zig
@@ -18,6 +18,9 @@ pub const Facts = struct {
     window_costs: []const Cost = &.{}, // the target's window ms by rows (timed at load), for the depth rule
     lane_costs: []const Cost = &.{}, // the same for the lane planner (Model.lane_costs)
     tree_nodes: u32 = 0, // hold() without lanes grows its own tree of up to `depth` nodes, at most this many (tree, chances)
+    chances: bool = false, // chances() gives each held chain draft's chance: verify rows go by them (Model.granted_depth)
+    confidence_floor: ?f64 = null, // with chances: every round drafts the deepest chain and verifies drafts this likely
+    slack: u32 = 0, // with chances: drafts a hold offers past the stream's last grant (0: the depth rule's own)
 };
 
 /// Target rows [start, start + features.rows) and the token after each; `rows`, when given, picks which to absorb.
diff --git a/zig/src/core/lanes/engine.zig b/zig/src/core/lanes/engine.zig
index 5d357c646d..f50db4fc4b 100644
--- a/zig/src/core/lanes/engine.zig
+++ b/zig/src/core/lanes/engine.zig
@@ -70,6 +70,7 @@ pub const Engine = struct {
                 .draft_step_ms = cfg.draft_step_ms,
                 .plain_guard = cfg.plain_guard,
                 .node_probabilities = cfg.node_probabilities,
+                .granted_depth = cfg.granted_depth,
                 .confidence_floor = cfg.draft_confidence,
                 .batch_rows = cfg.batch_rows,
                 .batched_heads = cfg.draft_streams,
diff --git a/zig/src/core/lanes/lanes.zig b/zig/src/core/lanes/lanes.zig
index 280b16ef10..df733517d0 100644
--- a/zig/src/core/lanes/lanes.zig
+++ b/zig/src/core/lanes/lanes.zig
@@ -57,6 +57,7 @@ test {
     _ = @import("recorder_test.zig");
     _ = @import("gpu_full_test.zig");
     _ = @import("drafted_test.zig");
+    _ = @import("drafted_chances_test.zig");
     _ = @import("root_copy_test.zig");
     _ = @import("drafted_grammar_test.zig");
     _ = @import("windows_grammar_test.zig");
diff --git a/zig/src/core/lanes/stream.zig b/zig/src/core/lanes/stream.zig
index c3e22e7869..4e1d9d3cf0 100644
--- a/zig/src/core/lanes/stream.zig
+++ b/zig/src/core/lanes/stream.zig
@@ -234,6 +234,7 @@ pub const Stream = struct {
     served: ?u64 = null,
     proposal_depth: ?u32 = null, // null: legacy; otherwise the last routed request, zero until it succeeds
     granted: ?u32 = null,
+    grant_short: bool = false, // the last grant verified fewer drafts than the stream held
     copy_width: ?u32 = null,
 
     pub fn init(gpa: Allocator, spec: Spec) !Stream {
@@ -302,6 +303,7 @@ pub const Stream = struct {
         s.inflight = null;
         s.served = null;
         s.granted = null;
+        s.grant_short = false;
         s.copy_width = null;
         s.proposal_depth = null;
     }
diff --git a/zig/src/core/lanes/windows.zig b/zig/src/core/lanes/windows.zig
index fd7ffec95d..32ec0e999d 100644
--- a/zig/src/core/lanes/windows.zig
+++ b/zig/src/core/lanes/windows.zig
@@ -226,7 +226,7 @@ pub fn probe(e: *Engine) depth.Probe {
 }
 
 pub fn who(s: *Stream) depth.Who {
-    return .{ .state = &s.depth, .draft_room = s.draftRoom(), .finished = s.finished, .forced = s.force.items.len > 0, .granted = s.granted, .stream = s, .sampled = s.sampling != null };
+    return .{ .state = &s.depth, .draft_room = s.draftRoom(), .finished = s.finished, .forced = s.force.items.len > 0, .granted = s.granted, .grant_short = s.grant_short, .stream = s, .sampled = s.sampling != null };
 }
 
 /// Whether any of a round's streams draws keyed samples (its rows carry their host work).
@@ -283,7 +283,10 @@ pub fn allocate(e: *Engine, plans: []Plan) !void {
         try trail.event(e, &.{ f("ev", trail.str("lone-price")), f("stream", trail.str(plans[0].stream.id)), f("rows", trail.int(counts[0] + 1)), f("expected", ev.bits(expected)), f("ms", if (ms) |value| ev.bits(value) else .null), f("probe", .{ .bool = trial != null }) });
     }
     for (plans, counts) |*p, c| {
-        if (p.kind == .head) p.stream.granted = c;
+        if (p.kind == .head) {
+            p.stream.granted = c;
+            if (e.cfg.granted_depth) p.stream.grant_short = c < p.count();
+        }
         if (p.kind == .forced or p.count() == 0 or c == p.count()) continue;
         try cut.prefix(a, p, c);
     }

From ebc3bc37a4c7c4a8678b09202a499e8678cfae7f Mon Sep 17 00:00:00 2001
From: BlivionIaG <15323295+BlivionIaG@users.noreply.github.com>
Date: Mon, 26 Oct 2026 09:07:53 +0100
Subject: [PATCH 2/7] lanes: a drafter whose hold is a pass of its own: no hold
 beside a copy, and holds kept only while they pay

The depth rule asks one head draft for a stream with a copy ahead, and a shared round's granted holds were priced
only by their verify rows. A drafter whose hold runs as a pass of its own (Facts.copy_first) pays that pass for
the one draft, and the copy round then drops it; Model.copy_first now asks it for none.

A drafter may also give its hold pass's timed cost by blocks and depth (Facts.hold_costs, priced by
hold_price.zig). With granted depths a shared round then keeps granted holds, most expected drafts a row first,
only while each raises the next round's expected tokens a ms over its verify rows and the pass; a probe after a
grant of none keeps its hold. A stream's last grant records the drafts it expected to keep (Stream.grant_gain).

Both are off by default (copy_first false, hold_costs empty).

Tests: with copy_first no hold is asked for a copy round and replies equal one-token decode at 1 and 3 streams;
a hold's cost between and past its timed passes; granted holds kept while they pay, none for a dear pass, and a
probe's hold kept.
---
 zig/src/core/lanes/config.zig            |   4 +
 zig/src/core/lanes/depth.zig             | 123 ++++++++++++++++++++-
 zig/src/core/lanes/drafted.zig           |   2 +
 zig/src/core/lanes/drafted_copy_test.zig | 135 +++++++++++++++++++++++
 zig/src/core/lanes/drafter.zig           |   2 +
 zig/src/core/lanes/hold_price.zig        |  58 ++++++++++
 zig/src/core/lanes/lanes.zig             |   2 +
 zig/src/core/lanes/stream.zig            |   2 +
 zig/src/core/lanes/windows.zig           |  11 +-
 9 files changed, 334 insertions(+), 5 deletions(-)
 create mode 100644 zig/src/core/lanes/drafted_copy_test.zig
 create mode 100644 zig/src/core/lanes/hold_price.zig

diff --git a/zig/src/core/lanes/config.zig b/zig/src/core/lanes/config.zig
index 71c455637a..deb76d4be2 100644
--- a/zig/src/core/lanes/config.zig
+++ b/zig/src/core/lanes/config.zig
@@ -39,6 +39,8 @@ pub const Model = struct {
     granted_depth: bool = false, // with draft_probabilities: every stream drafts its last grant plus a slack
     draft_slack: u32 = 0, // drafts past a stream's last grant, short or not (0: the Constants' own)
     draft_streams: bool = false, // the head drafts every stream of a shared round in one batch
+    copy_first: bool = false, // a copy ahead takes the round: the head holds no drafts for it (a drafter's own pass)
+    hold_costs: []const @import("hold_price.zig").HoldCost = &.{}, // a drafter's own hold pass, timed at load
     head_trees: bool = false, // the head drafts trees of lanes (DraftRequest.lanes) and holds them
     join_tail: bool = false, // a prompt in pieces leaves its last token for the next shared round's window (Backend.join)
     piece_runs: bool = false, // a round's pieces go to the backend in one call (Backend.pieces: one forward over them)
@@ -169,6 +171,8 @@ pub const Config = struct {
                 .draft_slack = if (m.draft_slack > 0) m.draft_slack else (Constants{}).draft_slack,
                 .grant_slack = if (m.draft_slack > 0) m.draft_slack else (Constants{}).grant_slack,
                 .short_slack = if (m.draft_slack > 0) m.draft_slack else (Constants{}).short_slack,
+                .copy_first = m.copy_first and !m.context_copies,
+                .hold_costs = m.hold_costs,
             },
             .draft_step_ms = m.draft_step_ms,
         };
diff --git a/zig/src/core/lanes/depth.zig b/zig/src/core/lanes/depth.zig
index 2f80da8edd..c992e0de4b 100644
--- a/zig/src/core/lanes/depth.zig
+++ b/zig/src/core/lanes/depth.zig
@@ -14,8 +14,13 @@ pub const Constants = struct {
     draft_slack: i64 = 2, // drafts a stream offers past what its last shared round granted it
     grant_slack: i64 = 1, // granted depths: drafts past a grant that verified every draft the stream held
     short_slack: i64 = 0, // granted depths: drafts past a grant that left some of them unverified
+    copy_first: bool = false, // a copy ahead takes the next round whole: the head drafts none for it (else one)
+    hold_costs: []const HoldCost = &.{}, // a drafter's own hold pass by blocks and depth: granted holds must pay for it
 };
 
+pub const HoldCost = @import("hold_price.zig").HoldCost;
+const holdMs = @import("hold_price.zig").holdMs;
+
 /// A stream's acceptance by depth and probe counters (Python `_depth_state[stream]`).
 pub const State = struct {
     p: []f64,
@@ -38,6 +43,7 @@ pub const Who = struct {
     forced: bool,
     granted: ?u32 = null,
     grant_short: bool = false, // the last grant left some held drafts unverified (the width did not bind)
+    gain: ?f64 = null, // the drafts its last grant expected to keep (null: none priced)
     stream: ?*anyopaque = null,
     sampled: bool = false, // keyed draws: host work a row that a greedy round does not have
 };
@@ -213,7 +219,7 @@ pub const Rule = struct {
         return @min(most, @as(i64, granted) + r.slack(who));
     }
 
-    /// Python `_head_depth`: the next round's head drafts for a stream (0 when forced, 1 with a copy ahead).
+    /// Python `_head_depth`: the next round's head drafts for a stream (0 when forced, 1 or none with a copy ahead).
     pub fn headDepth(r: *Rule, who: *const Who, budget: ?i64, probe: Probe) !i64 {
         const d: i64 = if (who.finished) 0 else if (budget) |b| b else if (r.granted_depth)
             try r.grantDepth(who.*)
@@ -222,7 +228,7 @@ pub const Rule = struct {
         else
             try r.depth(who.*);
         if (who.forced) return 0;
-        if (d != 0 and probe.copy(probe.ptr, who)) return 1;
+        if (d != 0 and probe.copy(probe.ptr, who)) return @intFromBool(!r.k.copy_first);
         return d;
     }
 
@@ -235,6 +241,65 @@ pub const Rule = struct {
         for (out) |*d| d.* = @min(d.*, most);
     }
 
+    /// Granted holds kept, most expected drafts a row first, while they raise the next round's expected tokens a ms.
+    fn payHolds(r: *Rule, whos: []const Who, sampled: bool, out: []i64) !void {
+        const order = try r.gpa.alloc(usize, whos.len);
+        defer r.gpa.free(order);
+        var m: usize = 0;
+        var probes: usize = 0; // a probe after a grant of none keeps its hold: it measures the stream again
+        var deepest: i64 = 0;
+        for (whos, out, 0..) |w, d, i| {
+            if (d <= 0) continue;
+            if (w.granted == @as(?u32, 0)) {
+                probes += 1;
+                deepest = @max(deepest, d);
+            } else {
+                order[m] = i;
+                m += 1;
+            }
+        }
+        if (m == 0) return;
+        const Ctx = struct {
+            r: *Rule,
+            whos: []const Who,
+            fn less(c: @This(), x: usize, y: usize) bool {
+                const gx = c.r.gainOf(c.whos[x]) catch 0;
+                const gy = c.r.gainOf(c.whos[y]) catch 0;
+                return gx * rowsOf(c.whos[y]) > gy * rowsOf(c.whos[x]) or (gx * rowsOf(c.whos[y]) == gy * rowsOf(c.whos[x]) and x < y);
+            }
+        };
+        std.mem.sort(usize, order[0..m], Ctx{ .r = r, .whos = whos }, Ctx.less);
+        const fixed = r.fixedMs(whos.len, sampled);
+        var rows: f64 = @floatFromInt(whos.len);
+        var tokens = rows;
+        const plain = r.shared_costs.get(@intCast(whos.len)) orelse return;
+        const probe_ms = if (probes > 0) holdMs(r.k.hold_costs, probes, deepest) else 0;
+        var best = tokens / (plain + fixed + probe_ms);
+        var keep: usize = 0;
+        for (order[0..m], 1..) |i, k| {
+            rows += rowsOf(whos[i]);
+            tokens += try r.gainOf(whos[i]);
+            deepest = @max(deepest, out[i]);
+            const verify = r.shared_costs.get(@intFromFloat(@ceil(rows))) orelse break;
+            const now = tokens / (verify + fixed + holdMs(r.k.hold_costs, k + probes, deepest));
+            if (now > best) {
+                best = now;
+                keep = k;
+            }
+        }
+        for (order[keep..m]) |i| out[i] = 0;
+    }
+
+    /// The drafts a granted stream's next round is expected to keep: its last grant's, or its first draft's rate.
+    fn gainOf(r: *Rule, w: Who) !f64 {
+        if (w.gain) |g| if (w.granted != null) return g;
+        return (try r.rates(w))[0];
+    }
+
+    fn rowsOf(w: Who) f64 {
+        return @floatFromInt(@max(1, w.granted orelse 1));
+    }
+
     /// Head drafts for the streams of a shared round, sized by allocation over their chain chances.
     pub fn budgets(r: *Rule, whos: []Who, probe: Probe, sampled: bool, out: []i64) !void {
         if (r.confidence_floor != null) {
@@ -248,6 +313,7 @@ pub const Rule = struct {
                 o.* = try r.headDepth(w, if (r.granted_depth) inner else @min(inner, granted + r.k.draft_slack), probe);
             }
             if (r.granted_depth) capPass(out, r.batch_rows);
+            if (r.granted_depth and r.k.hold_costs.len > 0) try r.payHolds(whos, sampled, out);
             return;
         }
         const most = try r.gpa.alloc(i64, whos.len);
@@ -439,3 +505,56 @@ test "granted depths in a shared round fit one hold pass: every block is as deep
     try rule.budgets(whos[0..2], .{ .ptr = &unused, .copy = No.copy }, false, out[0..2]);
     try std.testing.expectEqualSlices(i64, &.{ 2, 1 }, out[0..2]); // a grant short of the held drafts: no slack
 }
+
+test "a copy ahead: one head draft beside it, or none when the head's drafts cost a pass of their own" {
+    const empty: Table = .{};
+    const Yes = struct {
+        fn copy(_: *anyopaque, _: *const Who) bool {
+            return true;
+        }
+    };
+    var unused: u8 = 0;
+    const probe: Probe = .{ .ptr = &unused, .copy = Yes.copy };
+    var st: ?State = null;
+    defer if (st) |*x| x.deinit(std.testing.allocator);
+    const who: Who = .{ .state = &st, .draft_room = 100, .finished = false, .forced = false, .granted = 3 };
+    for ([_]bool{ false, true }) |first| {
+        var rule: Rule = .{ .gpa = std.testing.allocator, .k = .{ .copy_first = first }, .prior = &.{0.8}, .most_drafts = 9, .family_costs = &empty, .shared_costs = &empty, .mtp_step_ms = 0.5, .plain_guard = false, .node_probabilities = true, .granted_depth = true, .batch_rows = 32 };
+        defer rule.deinit();
+        try std.testing.expectEqual(@as(i64, @intFromBool(!first)), try rule.headDepth(&who, null, probe));
+        var out: [1]i64 = undefined;
+        var whos = [_]Who{who};
+        try rule.budgets(&whos, probe, false, &out);
+        try std.testing.expectEqual(@as(i64, @intFromBool(!first)), out[0]);
+    }
+}
+
+test "a granted hold stays only while its stream's expected drafts pay for the verify rows and the hold pass" {
+    const gpa = std.testing.allocator;
+    var shared: Table = .{};
+    defer shared.deinit(gpa);
+    for (1..33) |w| try shared.put(gpa, @intCast(w), 10.0 + @as(f64, @floatFromInt(w)));
+    const empty: Table = .{};
+    const cheap = [_]HoldCost{ .{ .streams = 1, .depth = 1, .ms = 1.0 }, .{ .streams = 8, .depth = 1, .ms = 4.5 } };
+    var states: [4]?State = @splat(null);
+    defer for (&states) |*st| if (st.*) |*x| x.deinit(gpa);
+    const granted = [_]?u32{ 2, 2, 0, 1 };
+    const gains = [_]?f64{ 1.8, 0.2, null, 0.9 };
+    var whos: [4]Who = undefined;
+    for (&whos, &states, granted, gains) |*w, *st, g, x| w.* = .{ .state = st, .draft_room = 100, .finished = false, .forced = false, .granted = g, .gain = x };
+    var rule: Rule = .{ .gpa = gpa, .k = .{ .hold_costs = &cheap }, .prior = &.{0.8}, .most_drafts = 9, .family_costs = &empty, .shared_costs = &shared, .mtp_step_ms = 0.5, .plain_guard = true, .node_probabilities = true, .granted_depth = true, .batch_rows = 32 };
+    defer rule.deinit();
+    // 8 ms overhead: plain 4 / 22; stream 0 then 3 raise the rate (5.8 / 25, 6.7 / 26.5), stream 1 would lower it
+    var out = [_]i64{ 4, 4, 0, 3 };
+    try rule.payHolds(&whos, false, &out);
+    try std.testing.expectEqualSlices(i64, &.{ 4, 0, 0, 3 }, &out);
+    const dear = [_]HoldCost{.{ .streams = 1, .depth = 1, .ms = 20.0 }};
+    rule.k.hold_costs = &dear;
+    out = .{ 4, 4, 0, 3 };
+    try rule.payHolds(&whos, false, &out);
+    try std.testing.expectEqualSlices(i64, &.{ 0, 0, 0, 0 }, &out); // no gain pays a 20 ms pass
+    whos[2].granted = 0;
+    out = .{ 4, 4, 2, 3 };
+    try rule.payHolds(&whos, false, &out);
+    try std.testing.expectEqualSlices(i64, &.{ 0, 0, 2, 0 }, &out); // a probe after a grant of none keeps its hold
+}
diff --git a/zig/src/core/lanes/drafted.zig b/zig/src/core/lanes/drafted.zig
index cee1ec3155..6c9f7edc4b 100644
--- a/zig/src/core/lanes/drafted.zig
+++ b/zig/src/core/lanes/drafted.zig
@@ -105,6 +105,8 @@ pub const Drafted = struct {
         m.draft_streams = d.batched;
         m.draft_probabilities = false;
         m.head_trees = d.trees;
+        m.copy_first = d.copy_first;
+        m.hold_costs = d.hold_costs;
         if (d.chances and x.drafter.vtable.chances != null) {
             // a chain's drafts priced by the drafter's own chances; the next hold as deep as the grant and its slack
             m.draft_probabilities = d.confidence_floor == null;
diff --git a/zig/src/core/lanes/drafted_copy_test.zig b/zig/src/core/lanes/drafted_copy_test.zig
new file mode 100644
index 0000000000..329731f69c
--- /dev/null
+++ b/zig/src/core/lanes/drafted_copy_test.zig
@@ -0,0 +1,135 @@
+//! A drafter whose hold costs a pass of its own: no hold for a stream whose next round is a copy.
+const std = @import("std");
+const Config = @import("config.zig").Config;
+const Engine = @import("engine.zig").Engine;
+const be = @import("backend.zig");
+const sm = @import("stream.zig");
+const fake = @import("fake.zig");
+const dr = @import("drafter.zig");
+const Proposer = @import("proposer.zig").Proposer;
+const Drafted = @import("drafted.zig").Drafted;
+const dt = @import("drafted_test.zig");
+
+const gpa = std.testing.allocator;
+
+/// Copies the fake target's own continuation (it lands whole) whenever the context's length is a multiple of three.
+const Copier = struct {
+    out: [3]u32 = undefined,
+    match: i64 = 0,
+
+    fn propose(ptr: *anyopaque, context: []const u32, most: i64) anyerror![]const u32 {
+        const c: *Copier = @ptrCast(@alignCast(ptr));
+        c.match = 0;
+        if (context.len % 3 != 0 or most < 2) return &.{};
+        var history: [128]u32 = undefined;
+        @memcpy(history[0..context.len], context);
+        const n: usize = @intCast(@min(3, most));
+        for (c.out[0..n], 0..) |*t, k| {
+            t.* = fake.next(history[0 .. context.len + k], null, 0);
+            history[context.len + k] = t.*;
+        }
+        c.match = 100;
+        return c.out[0..n];
+    }
+
+    fn lastMatch(ptr: *anyopaque) i64 {
+        return @as(*Copier, @ptrCast(@alignCast(ptr))).match;
+    }
+
+    const vtable: Proposer.VTable = .{ .propose = propose, .last_match = lastMatch };
+};
+
+/// Each stream's last hold position, and the copy windows verified at a position a hold was asked for.
+const Watch = struct {
+    var inner_hold: *const fn (*anyopaque, []const dr.Hold) anyerror!void = undefined;
+    var inner_verify: *const fn (*anyopaque, []const be.Window, []be.Verified) anyerror!void = undefined;
+    var at: [4]?u64 = @splat(null);
+    var streams: [4]?*sm.Stream = @splat(null);
+    var wasted: u32 = 0;
+    var copies: u32 = 0;
+    var blocks: u32 = 0; // the streams' blocks held, over every hold
+
+    fn slot(s: *sm.Stream) usize {
+        for (&streams, 0..) |*x, i| if (x.* == null or x.* == s) {
+            x.* = s;
+            return i;
+        };
+        unreachable;
+    }
+
+    fn hold(ptr: *anyopaque, items: []const dr.Hold) anyerror!void {
+        blocks += @intCast(items.len);
+        // a joining stream's first hold comes before its first token is read: no copy can be foreseen for it
+        for (items) |it| at[slot(it.stream)] = if (it.stream.emitted().len > 0) it.position else null;
+        return inner_hold(ptr, items);
+    }
+
+    fn verify(ptr: *anyopaque, windows: []const be.Window, out: []be.Verified) anyerror!void {
+        for (windows) |w| if (w.held == 0 and w.tokens.len > 0) {
+            copies += 1;
+            if (at[slot(w.stream)] == w.positions[0]) wasted += 1;
+        };
+        return inner_verify(ptr, windows, out);
+    }
+};
+
+const Run = struct { tokens: [3][64]u32 = undefined, lens: [3]usize = @splat(0), holds: u32 = 0, wasted: u32 = 0, copies: u32 = 0 };
+
+fn run(n: usize, drafts: bool, copy_first: bool) !Run {
+    Watch.at = @splat(null);
+    Watch.streams = @splat(null);
+    Watch.wasted = 0;
+    Watch.copies = 0;
+    Watch.blocks = 0;
+    var target: fake.Fake = .{ .gpa = gpa };
+    defer target.deinit();
+    var head: dt.FakeDrafter = .{ .facts_ = .{ .depth = 4, .step_ms = 0.5, .batched = true, .copy_first = copy_first } };
+    defer head.deinit();
+    var hooked = head.drafter();
+    var table = hooked.vtable.*;
+    Watch.inner_hold = table.hold;
+    table.hold = Watch.hold;
+    hooked.vtable = &table;
+    var wrapped = try Drafted.init(gpa, target.backend(), hooked);
+    defer wrapped.deinit();
+    // the round loop's windows, before the wrapper turns held drafts into host tokens
+    var seen = if (drafts) wrapped.backend() else target.backend();
+    var verified = seen.vtable.*;
+    Watch.inner_verify = verified.verify;
+    verified.verify = Watch.verify;
+    seen.vtable = &verified;
+    const m: @import("config.zig").Model = .{ .exact_width = 16, .gpu_tokens = true, .hidden_rows = true, .batch_rows = 32, .max_streams = 4 };
+    var cfg = try Config.init(gpa, if (drafts) wrapped.facts(m) else m, 16, 15);
+    defer cfg.deinit(gpa);
+    var clock: fake.FixedClock = .{};
+    var engine = Engine.init(gpa, &cfg, seen, clock.clock());
+    defer engine.deinit();
+    var copiers: [3]Copier = @splat(.{});
+    var streams: [3]sm.Stream = undefined;
+    for (streams[0..n], copiers[0..n], 0..) |*s, *c, i| s.* = try sm.Stream.init(gpa, .{ .id = "s", .prompt = dt.long[0 .. 12 + i], .max_new = 40, .eos = &.{96}, .drafts = drafts, .proposer = .{ .ptr = c, .vtable = &Copier.vtable } });
+    defer for (streams[0..n]) |*s| s.deinit(gpa);
+    for (streams[0..n]) |*s| try engine.addStream(s);
+    while (engine.activeCount() > 0) try engine.step();
+    var out: Run = .{ .holds = Watch.blocks, .wasted = Watch.wasted, .copies = Watch.copies };
+    for (streams[0..n], 0..) |*s, i| {
+        out.lens[i] = s.emitted().len;
+        @memcpy(out.tokens[i][0..out.lens[i]], s.emitted());
+    }
+    return out;
+}
+
+test "a copy ahead takes the round: with copy_first no hold is asked for it, and replies equal one-token decode" {
+    for ([_]usize{ 1, 3 }) |n| {
+        const plain = try run(n, false, false);
+        const before = try run(n, true, false);
+        const after = try run(n, true, true);
+        for (0..n) |i| {
+            try std.testing.expectEqualSlices(u32, plain.tokens[i][0..plain.lens[i]], before.tokens[i][0..before.lens[i]]);
+            try std.testing.expectEqualSlices(u32, plain.tokens[i][0..plain.lens[i]], after.tokens[i][0..after.lens[i]]);
+        }
+        try std.testing.expect(before.copies > 0 and after.copies > 0);
+        try std.testing.expect(before.wasted > 0); // a hold of one draft beside each copy, dropped by the copy round
+        try std.testing.expectEqual(@as(u32, 0), after.wasted);
+        try std.testing.expect(after.holds < before.holds);
+    }
+}
diff --git a/zig/src/core/lanes/drafter.zig b/zig/src/core/lanes/drafter.zig
index 84355e5d31..8ecd22db47 100644
--- a/zig/src/core/lanes/drafter.zig
+++ b/zig/src/core/lanes/drafter.zig
@@ -21,6 +21,8 @@ pub const Facts = struct {
     chances: bool = false, // chances() gives each held chain draft's chance: verify rows go by them (Model.granted_depth)
     confidence_floor: ?f64 = null, // with chances: every round drafts the deepest chain and verifies drafts this likely
     slack: u32 = 0, // with chances: drafts a hold offers past the stream's last grant (0: the depth rule's own)
+    copy_first: bool = false, // a hold costs a pass of its own: none is asked for a stream with a copy ahead
+    hold_costs: []const @import("hold_price.zig").HoldCost = &.{}, // that pass's ms by blocks and depth (timed at load)
 };
 
 /// Target rows [start, start + features.rows) and the token after each; `rows`, when given, picks which to absorb.
diff --git a/zig/src/core/lanes/hold_price.zig b/zig/src/core/lanes/hold_price.zig
new file mode 100644
index 0000000000..e4c854410e
--- /dev/null
+++ b/zig/src/core/lanes/hold_price.zig
@@ -0,0 +1,58 @@
+//! A drafter's hold pass priced from its timed passes: by the blocks it holds and their depth.
+const std = @import("std");
+
+/// A drafter's hold pass of `streams` blocks, each `depth` drafts deep, in ms (timed at load).
+pub const HoldCost = struct { streams: u32, depth: u32, ms: f64 };
+
+/// A hold pass's ms: linear in depth at each timed stream count, then in streams (past the widest, by its slope).
+pub fn holdMs(costs: []const HoldCost, streams: usize, depth: i64) f64 {
+    var below: ?u32 = null;
+    var above: ?u32 = null;
+    for (costs) |c| {
+        if (c.streams <= streams and (below == null or c.streams > below.?)) below = c.streams;
+        if (c.streams >= streams and (above == null or c.streams < above.?)) above = c.streams;
+    }
+    const lo = below orelse above.?;
+    const hi = above orelse lo;
+    const at_lo = atDepth(costs, lo, depth);
+    if (hi == lo) {
+        if (above != null) return at_lo;
+        // past the widest timed count: the slope from the count below it
+        var under: ?u32 = null;
+        for (costs) |c| if (c.streams < lo and (under == null or c.streams > under.?)) {
+            under = c.streams;
+        };
+        const u = under orelse return at_lo * @as(f64, @floatFromInt(streams)) / @as(f64, @floatFromInt(lo));
+        const slope = (at_lo - atDepth(costs, u, depth)) / @as(f64, @floatFromInt(lo - u));
+        return at_lo + slope * @as(f64, @floatFromInt(streams - lo));
+    }
+    const t = @as(f64, @floatFromInt(streams - lo)) / @as(f64, @floatFromInt(hi - lo));
+    return at_lo + t * (atDepth(costs, hi, depth) - at_lo);
+}
+
+/// One stream count's hold ms at `depth`: linear between its two nearest timed depths (one alone: as timed).
+fn atDepth(costs: []const HoldCost, streams: u32, depth: i64) f64 {
+    var a: ?HoldCost = null;
+    var b: ?HoldCost = null;
+    for (costs) |c| {
+        if (c.streams != streams) continue;
+        if (a == null or c.depth < a.?.depth) {
+            b = a;
+            a = c;
+        } else if (b == null or c.depth < b.?.depth) b = c;
+    }
+    const x = a.?;
+    const y = b orelse return x.ms;
+    const t = (@as(f64, @floatFromInt(depth)) - @as(f64, @floatFromInt(x.depth))) / @as(f64, @floatFromInt(y.depth - x.depth));
+    return x.ms + t * (y.ms - x.ms);
+}
+
+test "a hold's ms between and past the timed passes" {
+    const t = [_]HoldCost{ .{ .streams = 1, .depth = 1, .ms = 1.0 }, .{ .streams = 1, .depth = 4, .ms = 2.5 }, .{ .streams = 4, .depth = 1, .ms = 3.0 }, .{ .streams = 4, .depth = 4, .ms = 4.5 }, .{ .streams = 8, .depth = 1, .ms = 4.0 } };
+    try std.testing.expectApproxEqAbs(@as(f64, 1.0), holdMs(&t, 1, 1), 1e-12);
+    try std.testing.expectApproxEqAbs(@as(f64, 2.0), holdMs(&t, 1, 3), 1e-12); // linear in depth
+    try std.testing.expectApproxEqAbs(@as(f64, 3.0), holdMs(&t, 1, 5), 1e-12); // and past the deepest
+    try std.testing.expectApproxEqAbs(@as(f64, 1.0 + 2.0 / 3.0), holdMs(&t, 2, 1), 1e-12); // linear in streams
+    try std.testing.expectApproxEqAbs(@as(f64, 4.0), holdMs(&t, 8, 3), 1e-12); // one depth timed: as timed
+    try std.testing.expectApproxEqAbs(@as(f64, 5.0), holdMs(&t, 12, 1), 1e-12); // past the widest: the slope below it
+}
diff --git a/zig/src/core/lanes/lanes.zig b/zig/src/core/lanes/lanes.zig
index df733517d0..cc0271d636 100644
--- a/zig/src/core/lanes/lanes.zig
+++ b/zig/src/core/lanes/lanes.zig
@@ -18,6 +18,7 @@ pub const cost_rule = @import("cost_rule.zig");
 pub const gpu_rule = @import("gpu_rule.zig");
 pub const gpu_full = @import("gpu_full.zig");
 pub const depth = @import("depth.zig");
+pub const hold_price = @import("hold_price.zig");
 pub const mtp_policy = @import("mtp_policy.zig");
 pub const trim = @import("trim.zig");
 pub const config = @import("config.zig");
@@ -58,6 +59,7 @@ test {
     _ = @import("gpu_full_test.zig");
     _ = @import("drafted_test.zig");
     _ = @import("drafted_chances_test.zig");
+    _ = @import("drafted_copy_test.zig");
     _ = @import("root_copy_test.zig");
     _ = @import("drafted_grammar_test.zig");
     _ = @import("windows_grammar_test.zig");
diff --git a/zig/src/core/lanes/stream.zig b/zig/src/core/lanes/stream.zig
index 4e1d9d3cf0..ff85c8a3e7 100644
--- a/zig/src/core/lanes/stream.zig
+++ b/zig/src/core/lanes/stream.zig
@@ -235,6 +235,7 @@ pub const Stream = struct {
     proposal_depth: ?u32 = null, // null: legacy; otherwise the last routed request, zero until it succeeds
     granted: ?u32 = null,
     grant_short: bool = false, // the last grant verified fewer drafts than the stream held
+    grant_gain: ?f64 = null, // the drafts its last grant expected to keep (the chances it was priced by)
     copy_width: ?u32 = null,
 
     pub fn init(gpa: Allocator, spec: Spec) !Stream {
@@ -304,6 +305,7 @@ pub const Stream = struct {
         s.served = null;
         s.granted = null;
         s.grant_short = false;
+        s.grant_gain = null;
         s.copy_width = null;
         s.proposal_depth = null;
     }
diff --git a/zig/src/core/lanes/windows.zig b/zig/src/core/lanes/windows.zig
index 32ec0e999d..7e46b2c107 100644
--- a/zig/src/core/lanes/windows.zig
+++ b/zig/src/core/lanes/windows.zig
@@ -226,7 +226,7 @@ pub fn probe(e: *Engine) depth.Probe {
 }
 
 pub fn who(s: *Stream) depth.Who {
-    return .{ .state = &s.depth, .draft_room = s.draftRoom(), .finished = s.finished, .forced = s.force.items.len > 0, .granted = s.granted, .grant_short = s.grant_short, .stream = s, .sampled = s.sampling != null };
+    return .{ .state = &s.depth, .draft_room = s.draftRoom(), .finished = s.finished, .forced = s.force.items.len > 0, .granted = s.granted, .grant_short = s.grant_short, .gain = s.grant_gain, .stream = s, .sampled = s.sampling != null };
 }
 
 /// Whether any of a round's streams draws keyed samples (its rows carry their host work).
@@ -282,10 +282,15 @@ pub fn allocate(e: *Engine, plans: []Plan) !void {
         const ms = own.get(1 + @as(i64, counts[0]));
         try trail.event(e, &.{ f("ev", trail.str("lone-price")), f("stream", trail.str(plans[0].stream.id)), f("rows", trail.int(counts[0] + 1)), f("expected", ev.bits(expected)), f("ms", if (ms) |value| ev.bits(value) else .null), f("probe", .{ .bool = trial != null }) });
     }
-    for (plans, counts) |*p, c| {
+    for (plans, counts, probs) |*p, c, pr| {
         if (p.kind == .head) {
             p.stream.granted = c;
-            if (e.cfg.granted_depth) p.stream.grant_short = c < p.count();
+            if (e.cfg.granted_depth) {
+                p.stream.grant_short = c < p.count();
+                var gain: f64 = 0;
+                for (pr[0..@min(c, pr.len)]) |chance| gain += chance;
+                p.stream.grant_gain = gain;
+            }
         }
         if (p.kind == .forced or p.count() == 0 or c == p.count()) continue;
         try cut.prefix(a, p, c);

From 745fe1088ab7293b5bc4f28c6cdedb989e83ec4f Mon Sep 17 00:00:00 2001
From: BlivionIaG <15323295+BlivionIaG@users.noreply.github.com>
Date: Thu, 29 Oct 2026 23:20:55 +0100
Subject: [PATCH 3/7] lanes: reuse hold ordering and interpolate adjacent
 measured depths

Bound the reused ordering buffer by batch_rows, and cover reuse with an
allocator that refuses further allocations. Interpolate between the measured
depths surrounding the requested depth, including nearest-end extrapolation.
Query a stateful copy proposer once for a granted-depth budget decision.
---
 zig/src/core/lanes/depth.zig                | 17 ++++++++--
 zig/src/core/lanes/drafted_chances_test.zig | 21 ++++++++++++
 zig/src/core/lanes/hold_price.zig           | 36 ++++++++++++++++++---
 3 files changed, 66 insertions(+), 8 deletions(-)

diff --git a/zig/src/core/lanes/depth.zig b/zig/src/core/lanes/depth.zig
index c992e0de4b..efb8dfa018 100644
--- a/zig/src/core/lanes/depth.zig
+++ b/zig/src/core/lanes/depth.zig
@@ -78,7 +78,10 @@ pub const Rule = struct {
     shared_rounds: u64 = 0,
     greedy_overhead: std.ArrayList(Overhead) = .empty, // overhead from rounds without a sampled stream
 
+    hold_order: []usize = &.{}, // reused hold ordering, at most batch_rows entries
+
     pub fn deinit(r: *Rule) void {
+        r.gpa.free(r.hold_order);
         r.round_ms.deinit(r.gpa);
         r.overhead.deinit(r.gpa);
         r.greedy_ms.deinit(r.gpa);
@@ -243,8 +246,9 @@ pub const Rule = struct {
 
     /// Granted holds kept, most expected drafts a row first, while they raise the next round's expected tokens a ms.
     fn payHolds(r: *Rule, whos: []const Who, sampled: bool, out: []i64) !void {
-        const order = try r.gpa.alloc(usize, whos.len);
-        defer r.gpa.free(order);
+        if (whos.len > r.batch_rows) return error.BadHoldStreamCount;
+        if (r.hold_order.len == 0) r.hold_order = try r.gpa.alloc(usize, r.batch_rows);
+        const order = r.hold_order[0..whos.len];
         var m: usize = 0;
         var probes: usize = 0; // a probe after a grant of none keeps its hold: it measures the stream again
         var deepest: i64 = 0;
@@ -310,7 +314,7 @@ pub const Rule = struct {
             for (whos, out) |*w, *o| {
                 const inner = try r.headDepth(w, null, probe);
                 const granted: i64 = if (w.granted) |g| g else r.most_drafts;
-                o.* = try r.headDepth(w, if (r.granted_depth) inner else @min(inner, granted + r.k.draft_slack), probe);
+                o.* = if (r.granted_depth) inner else try r.headDepth(w, @min(inner, granted + r.k.draft_slack), probe);
             }
             if (r.granted_depth) capPass(out, r.batch_rows);
             if (r.granted_depth and r.k.hold_costs.len > 0) try r.payHolds(whos, sampled, out);
@@ -548,6 +552,13 @@ test "a granted hold stays only while its stream's expected drafts pay for the v
     var out = [_]i64{ 4, 4, 0, 3 };
     try rule.payHolds(&whos, false, &out);
     try std.testing.expectEqualSlices(i64, &.{ 4, 0, 0, 3 }, &out);
+    var failing = std.testing.FailingAllocator.init(gpa, .{ .fail_index = 0 });
+    rule.gpa = failing.allocator();
+    out = .{ 4, 4, 0, 3 };
+    try rule.payHolds(&whos, false, &out);
+    try std.testing.expect(!failing.has_induced_failure);
+    try std.testing.expectEqualSlices(i64, &.{ 4, 0, 0, 3 }, &out);
+    rule.gpa = gpa;
     const dear = [_]HoldCost{.{ .streams = 1, .depth = 1, .ms = 20.0 }};
     rule.k.hold_costs = &dear;
     out = .{ 4, 4, 0, 3 };
diff --git a/zig/src/core/lanes/drafted_chances_test.zig b/zig/src/core/lanes/drafted_chances_test.zig
index 02c5eb4cb1..233ec38fe5 100644
--- a/zig/src/core/lanes/drafted_chances_test.zig
+++ b/zig/src/core/lanes/drafted_chances_test.zig
@@ -264,3 +264,24 @@ test "holds as wide as the grants: replies equal one-token decode at 1, 4 and 8
         }
     }
 }
+
+test "hold budgeting queries a stateful copy proposer once for a granted depth" {
+    const empty: Table = .{};
+    var rule: depth.Rule = .{ .gpa = gpa, .prior = &.{0.8}, .most_drafts = 9, .family_costs = &empty, .shared_costs = &empty, .mtp_step_ms = 1, .plain_guard = true, .node_probabilities = true, .granted_depth = true, .batch_rows = 32 };
+    defer rule.deinit();
+    var state: ?depth.State = null;
+    defer if (state) |*s| s.deinit(gpa);
+    var whos = [_]depth.Who{.{ .state = &state, .draft_room = 64, .finished = false, .forced = false, .granted = 1 }};
+    const Changing = struct {
+        fn copy(ptr: *anyopaque, _: *const depth.Who) bool {
+            const calls: *usize = @ptrCast(@alignCast(ptr));
+            calls.* += 1;
+            return calls.* > 1;
+        }
+    };
+    var calls: usize = 0;
+    var out: [1]i64 = undefined;
+    try rule.budgets(&whos, .{ .ptr = &calls, .copy = Changing.copy }, false, &out);
+    try std.testing.expectEqual(@as(usize, 1), calls);
+    try std.testing.expectEqual(@as(i64, 2), out[0]);
+}
diff --git a/zig/src/core/lanes/hold_price.zig b/zig/src/core/lanes/hold_price.zig
index e4c854410e..c3eeb0208a 100644
--- a/zig/src/core/lanes/hold_price.zig
+++ b/zig/src/core/lanes/hold_price.zig
@@ -30,23 +30,49 @@ pub fn holdMs(costs: []const HoldCost, streams: usize, depth: i64) f64 {
     return at_lo + t * (atDepth(costs, hi, depth) - at_lo);
 }
 
-/// One stream count's hold ms at `depth`: linear between its two nearest timed depths (one alone: as timed).
+/// Interpolate neighboring depths, or extrapolate the nearest end segment (one alone: as timed).
 fn atDepth(costs: []const HoldCost, streams: u32, depth: i64) f64 {
     var a: ?HoldCost = null;
     var b: ?HoldCost = null;
     for (costs) |c| {
         if (c.streams != streams) continue;
-        if (a == null or c.depth < a.?.depth) {
-            b = a;
+        if (c.depth == depth) return c.ms;
+        if (c.depth < depth and (a == null or c.depth > a.?.depth)) a = c;
+        if (c.depth > depth and (b == null or c.depth < b.?.depth)) b = c;
+    }
+    if (a == null) {
+        a = b.?;
+        b = null;
+        for (costs) |c| if (c.streams == streams and c.depth > a.?.depth and (b == null or c.depth < b.?.depth)) {
+            b = c;
+        };
+        if (b == null) return a.?.ms;
+    } else if (b == null) {
+        b = a.?;
+        a = null;
+        for (costs) |c| if (c.streams == streams and c.depth < b.?.depth and (a == null or c.depth > a.?.depth)) {
             a = c;
-        } else if (b == null or c.depth < b.?.depth) b = c;
+        };
+        if (a == null) return b.?.ms;
     }
     const x = a.?;
-    const y = b orelse return x.ms;
+    const y = b.?;
     const t = (@as(f64, @floatFromInt(depth)) - @as(f64, @floatFromInt(x.depth))) / @as(f64, @floatFromInt(y.depth - x.depth));
     return x.ms + t * (y.ms - x.ms);
 }
 
+test "hold prices retain measured kernel transitions and use the adjacent depth segment" {
+    const t = [_]HoldCost{
+        .{ .streams = 8, .depth = 4, .ms = 18 },
+        .{ .streams = 8, .depth = 1, .ms = 10 },
+        .{ .streams = 8, .depth = 2, .ms = 17 },
+    };
+    try std.testing.expectEqual(@as(f64, 17), holdMs(&t, 8, 2));
+    try std.testing.expectEqual(@as(f64, 17.5), holdMs(&t, 8, 3));
+    try std.testing.expectEqual(@as(f64, 18.5), holdMs(&t, 8, 5));
+    try std.testing.expectEqual(@as(f64, 3), holdMs(&t, 8, 0));
+}
+
 test "a hold's ms between and past the timed passes" {
     const t = [_]HoldCost{ .{ .streams = 1, .depth = 1, .ms = 1.0 }, .{ .streams = 1, .depth = 4, .ms = 2.5 }, .{ .streams = 4, .depth = 1, .ms = 3.0 }, .{ .streams = 4, .depth = 4, .ms = 4.5 }, .{ .streams = 8, .depth = 1, .ms = 4.0 } };
     try std.testing.expectApproxEqAbs(@as(f64, 1.0), holdMs(&t, 1, 1), 1e-12);

From 81e073a2bc0266e865b2ce527d8f988da539ec28 Mon Sep 17 00:00:00 2001
From: BlivionIaG <15323295+BlivionIaG@users.noreply.github.com>
Date: Thu, 29 Oct 2026 23:29:48 +0100
Subject: [PATCH 4/7] docs: record rebased lane pricing and DSpark hold
 retention

---
 docs/receipts/pr1381-review/README.md         |    32 +
 .../receipts/pr1381-review/device-report.json | 37969 ++++++++++++++++
 docs/receipts/pr1381-review/device_report.py  |    46 +
 3 files changed, 38047 insertions(+)
 create mode 100644 docs/receipts/pr1381-review/README.md
 create mode 100644 docs/receipts/pr1381-review/device-report.json
 create mode 100644 docs/receipts/pr1381-review/device_report.py

diff --git a/docs/receipts/pr1381-review/README.md b/docs/receipts/pr1381-review/README.md
new file mode 100644
index 0000000000..bb15d29d35
--- /dev/null
+++ b/docs/receipts/pr1381-review/README.md
@@ -0,0 +1,32 @@
+# PR 1381 standalone review fixes
+
+The lane changes are rebased onto main `d33dcfc767ee093393c6bfa00b3949bd7b4d8e88`, without the rejected guard ancestry. Source `745fe1088ab7293b5bc4f28c6cdedb989e83ec4f` retains the opt-in chance/grant/hold features, reuses the hold-order buffer, interpolates adjacent measured depths and queries a stateful copy proposer only once per granted-depth budget decision.
+
+Host checks: `zig build test-shared-lane-regressions-host test-draft-metal-host -Dcpu=apple_m1 -Dversion=1.1.8 --summary all` passes 57/57 steps, 290/290 tests. Plain `zig build -Dcpu=apple_m1 -Dversion=1.1.8 --summary all` passes 236/236 steps. Zig is 0.17.0. Formatting and whitespace pass. The same lean checker reports 425 findings on current main and this branch, zero new.
+
+The standalone PR changes no family adapter or GPU operator. DSpark device measurements require the downstream adapter from PR 1394. The local integration used here is `f73bb5590cc458b9b21b86352d65f23b76cac7c1` (PR 1394 head `98f5cc72b` merged with the same current main). Its tree is `1ce4a92c3ebd0ae6637872af2b3aec3fdbf1e73b`, reproducible by merging those two public parents. Its `config.zig`, `depth.zig`, `drafted.zig`, `drafter.zig`, `hold_price.zig` and `stream.zig` are byte-identical to this standalone head; it also contains PR 1394's final-buffer allocation cleanup and pipelined-code extraction. These measurements are explicitly integration evidence, not a claim that standalone main already loads DSpark.
+
+Device: Apple M5 Ultra, 256 GiB, macOS 27.0 (26A428), Metal 32023.921.6; native binaries built with Zig 0.17.0, `-Dcpu=apple_m1 -Dversion=1.1.8`. Target: `LiquidAI/LFM2.5-24B-A2B-MLX-4bit` revision `667408d494bde191c2cb9dd4f4549827816b9275`. Drafter safetensors SHA-256: `7d06a78556b0b1f386134508f09b00a3a7e0e5e0ec2cc73119229f4ef7c9b299`. BF16 drafter mode, one rank, context 4096, parallel capacity 16, prompt cache zero, greedy seed 1234, ignore EOS, 256 generated tokens. Code and prose prompts are retained verbatim in the driver. Each arm gets a 32-token warm-up per prompt. Four rotated runs compare main without an external drafter, standalone without an external drafter, and the DSpark integration. Main's normal suffix copying remains enabled. The integration also checks explicit `draft:false` oracles.
+
+Hold retention is measured on a separate diagnostic build: count positive stream budgets entering and leaving `payHolds`, after the one-pass cap. Report both kept/offered and kept/sum-of-stream-budget-opportunities. The latter includes zero-budget slots in calls that reach this pricing path; it does not count rounds that never call this path. Zero-budget streams do not enter its denominator, probes follow normal pricing, and tail rounds can have fewer live streams than the request batch. Per-call events are retained. Diagnostic output is excluded from throughput runs.
+
+To reproduce, use `device_report.py` with Python's standard library and the `qualification.py` helper from PR 1394's receipts. Set `TF_QUAL_HELPER`, `TF_QUAL_DRAFTER`, `TF_REPORT_MAIN`, `TF_REPORT_STANDALONE`, `TF_REPORT_INTEGRATION` (uninstrumented), and `TF_REPORT_DIAGNOSTIC`. Optional `TF_REPORT_OUT` controls output. The driver uses `/tmp/tensorfold-model.lock`, refuses an existing recognized model process through the helper, and aborts on memory-pressure admission changes. Reserve the GPU exclusively. The diagnostic build adds only before/after positive-budget counters around `payHolds`; the executed instrumentation is retained in the receipt.
+
+No new M1/M2/M3/M4, CUDA or HIP device qualification is claimed. Cold-prefill scaling, long-context and cancellation were not rerun for this standalone review report; historical PR 1394 checks are separately scoped to their recorded sources.
+
+## Device results
+
+All 72 throughput cells, six diagnostic batches, and explicit `draft:false` oracles agree token for token. All 13 servers shut down gracefully. Rates are median aggregate decode tokens/s across four rotations; diagnostic logging is absent from these timings.
+
+| Prompt | Streams | Main | Standalone | DSpark integration | Integration vs main | Holds kept/offered | Kept/budget slots |
+| --- | ---: | ---: | ---: | ---: | ---: | ---: | ---: |
+| code | 4 | 651.92 | 652.29 | 640.37 | -1.77% | 12/742 | 12/886 (1.35%) |
+| code | 8 | 830.98 | 831.20 | 815.77 | -1.83% | 28/1226 | 28/1836 (1.53%) |
+| code | 16 | 831.29 | 829.54 | 888.75 | +6.91% | 374/1891 | 374/3258 (11.48%) |
+| prose | 4 | 623.40 | 623.08 | 616.75 | -1.07% | 0/960 | 0/996 (0.00%) |
+| prose | 8 | 804.91 | 804.87 | 795.60 | -1.16% | 40/40 | 40/2006 (1.99%) |
+| prose | 16 | 799.75 | 798.35 | 873.10 | +9.17% | 225/3260 | 225/3813 (5.90%) |
+
+Standalone/no-external-drafter changes are between -0.21% and +0.06% versus main in this run. DSpark holds are sparse at four and eight streams, and its integration loses 1.07–1.83% there; it gains 6.91% code / 9.17% prose at 16 streams. These results document the remaining downstream pricing/performance tradeoff rather than claiming universal gains. In prose at eight streams, every offered positive hold is kept, but holds occur in only 1.99% of recorded budget slots; kept/offered alone would conceal that sparsity.
+
+[Request-level data, per-call counters, binary/source hashes and diagnostic patch](device-report.json). The interpolation regression fails on the old PR head (expected 17.5 ms, obtained 24 ms) and passes here.
diff --git a/docs/receipts/pr1381-review/device-report.json b/docs/receipts/pr1381-review/device-report.json
new file mode 100644
index 0000000000..824c67fbc3
--- /dev/null
+++ b/docs/receipts/pr1381-review/device-report.json
@@ -0,0 +1,37969 @@
+{
+  "source": "745fe1088ab7293b5bc4f28c6cdedb989e83ec4f",
+  "baseline": "d33dcfc767ee093393c6bfa00b3949bd7b4d8e88",
+  "integration": {
+    "local_commit": "f73bb5590cc458b9b21b86352d65f23b76cac7c1",
+    "tree": "1ce4a92c3ebd0ae6637872af2b3aec3fdbf1e73b",
+    "public_parents": [
+      "98f5cc72bb3e765fa312de06b26a2dd9a76f60dc",
+      "d33dcfc767ee093393c6bfa00b3949bd7b4d8e88"
+    ]
+  },
+  "hardware": {
+    "gpu": "Apple M5 Ultra",
+    "ram_bytes": 274877906944,
+    "os": "macOS 27.0 (26A428)",
+    "metal": "32023.921.6",
+    "zig": "0.17.0",
+    "build_flags": [
+      "-Dcpu=apple_m1",
+      "-Dversion=1.1.8"
+    ]
+  },
+  "checkpoints": {
+    "target": "LiquidAI/LFM2.5-24B-A2B-MLX-4bit",
+    "target_revision": "667408d494bde191c2cb9dd4f4549827816b9275",
+    "drafter": "LiquidAI/LFM2.5-24B-A2B-DSpark",
+    "drafter_safetensors_sha256": "7d06a78556b0b1f386134508f09b00a3a7e0e5e0ec2cc73119229f4ef7c9b299",
+    "tokenizer_json_sha256": "695be7802a0e4b8a81048f0ff5ebb7fc811a0ba5a6be63dbb24deb5a81096f41"
+  },
+  "settings": {
+    "context": 4096,
+    "parallel": 16,
+    "prompt_cache_gib": 0,
+    "precision": "BF16 drafter",
+    "seed": 1234,
+    "temperature": 0,
+    "ignore_eos": true,
+    "max_tokens": 256,
+    "warmup_tokens": 32,
+    "rotations": 4,
+    "rank": 1,
+    "raw_prompts": {
+      "code": "Write a short Python function that computes the Fibonacci sequence and explain it.",
+      "prose": "Explain how matrix multiplication uses a GPU in plain English, then give a small numerical example."
+    }
+  },
+  "binary_sha256": {
+    "main": "866aac4dd2c20d1653c5521e29ed8ad25dfb96fcbade65b930e7765095a24960",
+    "standalone": "37ebe65f037a6e3b966f02b6442e5df87db4af82610851b65313c7ddb12edab5",
+    "dspark-integration": "49056086817dc4b35d2a1a7245632f0685c65e8286e252f07f2ae157d69daedd"
+  },
+  "standalone_source_sha256": {
+    "config": "8097a338dbefd82cf6b6066e4c245c28388e2dc27c343ea197d5e2605cc28eaa",
+    "depth": "06b0c1bfdc1fcb61ad101736e5e7152114ae7f25723b06110910528eafe2728d",
+    "drafted": "ad66d2caa7a7ea7ce46cafa8ee4b1d3f69ced4bed866f41042e89fd18facb4eb",
+    "drafter": "3efc463a2b4b325a6bbfcef2a4eace90477450f6763a0847f0d94cd22705dc16",
+    "hold_price": "2e6cbe4c477ae19c9edc527a74471748fc8af012725f402ee4c81ed3bf021dba",
+    "stream": "6862f27ff9b86d8f9a6465a5aca8a00403818752e5be947637c806252cff1202",
+    "windows": "88eedd02202e42e91fcdef4dd046d969038cc391cac282604893a417af3ad13a",
+    "engine": "f42392fb3982a0bb4a8dddef841f742b950f661cd304bb291a099ebac55cf352"
+  },
+  "diagnostic": {
+    "binary": {
+      "sha256": "4f78316e2fe988d6add238a596be2bebf293cf6df66292160c7aea00bbbc4627"
+    },
+    "source_patch": "--- a/zig/src/core/lanes/depth.zig\n+++ b/zig/src/core/lanes/depth.zig\n@@ -317,7 +317,14 @@\n                 o.* = if (r.granted_depth) inner else try r.headDepth(w, @min(inner, granted + r.k.draft_slack), probe);\n             }\n             if (r.granted_depth) capPass(out, r.batch_rows);\n-            if (r.granted_depth and r.k.hold_costs.len > 0) try r.payHolds(whos, sampled, out);\n+            if (r.granted_depth and r.k.hold_costs.len > 0) {\n+                var offered: usize = 0;\n+                for (out) |d| offered += @intFromBool(d > 0);\n+                try r.payHolds(whos, sampled, out);\n+                var kept: usize = 0;\n+                for (out) |d| kept += @intFromBool(d > 0);\n+                std.debug.print(\"TF_HOLD_PRICE streams={d} offered={d} kept={d}\\n\", .{ whos.len, offered, kept });\n+            }\n             return;\n         }\n         const most = try r.gpa.alloc(i64, whos.len);\n",
+    "excluded_from_speed_cells": true
+  },
+  "validated_requests": 728,
+  "summary": [
+    {
+      "prompt": "code",
+      "streams": 4,
+      "median_tps": {
+        "main": 651.9215662097174,
+        "standalone": 652.2864025886513,
+        "dspark-integration": 640.3728724277717
+      },
+      "standalone_vs_main_percent": 0.05596323205796505,
+      "integration_vs_main_percent": -1.7714851571930756
+    },
+    {
+      "prompt": "code",
+      "streams": 8,
+      "median_tps": {
+        "main": 830.9799873323185,
+        "standalone": 831.2021952768946,
+        "dspark-integration": 815.7716206240765
+      },
+      "standalone_vs_main_percent": 0.02674046883961445,
+      "integration_vs_main_percent": -1.8301724397798314
+    },
+    {
+      "prompt": "code",
+      "streams": 16,
+      "median_tps": {
+        "main": 831.2911717430436,
+        "standalone": 829.5424605277829,
+        "dspark-integration": 888.7469222232272
+      },
+      "standalone_vs_main_percent": -0.2103608548607694,
+      "integration_vs_main_percent": 6.911627650238472
+    },
+    {
+      "prompt": "prose",
+      "streams": 4,
+      "median_tps": {
+        "main": 623.3997768925857,
+        "standalone": 623.0824227079411,
+        "dspark-integration": 616.7460443781099
+      },
+      "standalone_vs_main_percent": -0.05090700966023931,
+      "integration_vs_main_percent": -1.067329947989737
+    },
+    {
+      "prompt": "prose",
+      "streams": 8,
+      "median_tps": {
+        "main": 804.9105001862883,
+        "standalone": 804.8683183860594,
+        "dspark-integration": 795.5966151895908
+      },
+      "standalone_vs_main_percent": -0.0052405578283787335,
+      "integration_vs_main_percent": -1.1571329973384503
+    },
+    {
+      "prompt": "prose",
+      "streams": 16,
+      "median_tps": {
+        "main": 799.7476676651816,
+        "standalone": 798.3506550481231,
+        "dspark-integration": 873.097497807835
+      },
+      "standalone_vs_main_percent": -0.17468167442574734,
+      "integration_vs_main_percent": 9.171621638709393
+    }
+  ],
+  "comparison": [
+    {
+      "round": 0,
+      "arm": "main",
+      "prompt": "code",
+      "streams": 4,
+      "tps": 651.3697658317965,
+      "requests": [
+        {
+          "usage": {
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+            "completion_tokens": 256,
+            "total_tokens": 270,
+            "prompt_tokens_details": {
+              "cached_tokens": 0
+            },
+            "completion_tokens_details": {
+              "reasoning_tokens": 0
+            }
+          },
+          "runtime": {
+            "enable_thinking": false,
+            "reasoning_effort": "none",
+            "engine": "lanes",
+            "tokens_per_second": 163.23587699963886,
+            "seconds": 1.562156584,
+            "prefill_seconds": 0.01801525,
+            "prefill_widths": [],
+            "prefill_raised": [],
+            "time_to_first_token": 0.0182605,
+            "sampling": "greedy",
+            "drafts": true,
+            "token_sha": "dcc30ceea29d",
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+            "min_rows": 1
+          },
+          "speculative": {
+            "rounds": 223,
+            "drafted": 43,
+            "accepted": 32,
+            "acceptance_rate": 0.7441860465116279,
+            "tokens_per_round": 1.147982062780269
+          },
+          "sent": 2.796951375,
+          "first": 2.816109833,
+          "last": 4.378184666,
+          "chunks": 224
+        },
+        {
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+            "total_tokens": 270,
+            "prompt_tokens_details": {
+              "cached_tokens": 0
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+              "reasoning_tokens": 0
+            }
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+            "seconds": 1.545361,
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+            "time_to_first_token": 0.034964417,
+            "sampling": "greedy",
+            "drafts": true,
+            "token_sha": "dcc30ceea29d",
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+            "min_rows": 1
+          },
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+            "drafted": 43,
+            "accepted": 32,
+            "acceptance_rate": 0.7441860465116279,
+            "tokens_per_round": 1.147982062780269
+          },
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+            "prompt_tokens_details": {
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+              "reasoning_tokens": 0
+            }
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+            "min_rows": 1
+          },
+          "speculative": {
+            "rounds": 223,
+            "drafted": 42,
+            "accepted": 32,
+            "acceptance_rate": 0.7619047619047619,
+            "tokens_per_round": 1.147982062780269
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+            "completion_tokens": 256,
+            "total_tokens": 270,
+            "prompt_tokens_details": {
+              "cached_tokens": 0
+            },
+            "completion_tokens_details": {
+              "reasoning_tokens": 0
+            }
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+            "min_rows": 1
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+            "acceptance_rate": 0.6363636363636364,
+            "tokens_per_round": 1.032258064516129
+          },
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+            "min_rows": 1
+          },
+          "speculative": {
+            "rounds": 246,
+            "drafted": 24,
+            "accepted": 9,
+            "acceptance_rate": 0.375,
+            "tokens_per_round": 1.0406504065040652
+          },
+          "sent": 278.734855625,
+          "first": 279.027130666,
+          "last": 283.444806583,
+          "chunks": 247
+        }
+      ],
+      "pricing_opportunities": 3813,
+      "kept_per_opportunity": 0.059008654602675056
+    }
+  ],
+  "draft_false_oracles": {
+    "code": {
+      "usage": {
+        "prompt_tokens": 14,
+        "completion_tokens": 256,
+        "total_tokens": 270,
+        "prompt_tokens_details": {
+          "cached_tokens": 0
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+          "reasoning_tokens": 0
+        }
+      },
+      "runtime": {
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+        "reasoning_effort": "none",
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+        "token_sha256": "dcc30ceea29dc7510fd59ee9a4c2554b780db9dcafe7a843c29afdfd57231edc",
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+        "min_rows": 1
+      },
+      "speculative": {
+        "rounds": 255,
+        "drafted": 0,
+        "accepted": 0,
+        "acceptance_rate": 0.0,
+        "tokens_per_round": 1.003921568627451
+      },
+      "content": " is a Fibonacci number. So the answer is 1. But the problem says \"What is the nth Fibonacci number?\" So the answer is F_n. But they want a numeric answer? The problem is ambiguous. However, typical coding challenge: \"Given n, return the nth Fibonacci number.\" So the answer is F_n. But they might want to compute it. But the problem is not asking for a specific n. So maybe the answer is \"F_n\". But the problem is in a context where they want to know the nth Fibonacci number. So the answer is \"F_n\". But the problem might be expecting \"1\" if n=1. But n is not given. So maybe the answer is \"F_n\". But the problem is in a math context: \"What is the nth Fibonacci number?\" So the answer is \"F_n\". But the problem might be expecting a formula: \"F_n = (phi^n - psi^n)/sqrt(5)\". But that's not a simple answer. However, the problem is likely a trick: the nth Fibonacci number is F_n. So the answer is \"F_n\". But the problem might be expecting \"1\" if n=1. But n is not specified. So maybe the answer is \"",
+      "wall": 0.9779138749999987
+    },
+    "prose": {
+      "usage": {
+        "prompt_tokens": 18,
+        "completion_tokens": 256,
+        "total_tokens": 274,
+        "prompt_tokens_details": {
+          "cached_tokens": 0
+        },
+        "completion_tokens_details": {
+          "reasoning_tokens": 0
+        }
+      },
+      "runtime": {
+        "enable_thinking": false,
+        "reasoning_effort": "none",
+        "engine": "lanes",
+        "tokens_per_second": 267.6543053153317,
+        "seconds": 0.952721458,
+        "prefill_seconds": 0.018943042,
+        "prefill_widths": [],
+        "prefill_raised": [],
+        "time_to_first_token": 0.019066875,
+        "sampling": "greedy",
+        "drafts": false,
+        "token_sha": "756f2e358866",
+        "token_sha256": "756f2e35886612286b0797e4b20f7a65f5434e1c0997b033a224a1b9830c452c",
+        "token_ids": [229,25,22,7575,2992,355,278,5058,2035,302,278,31707,5449,91603,3103,266,640,440,5058,2035,355,278,9632,302,1394,2522,2035,54684,467,851,11481,34,32191,45,117386,69,550,577,6144,930,96,101,2552,577,8970,372,18732,93018,92416,3103,266,640,1389,267,31707,5449,415,2556,11481,32191,88,88387,278,5058,2035,355,32191,45,117386,69,550,577,2587,99,25,2444,88,91303,3103,266,640,26546,34,1681,32191,88,550,229,24,22,26,88387,1256,32191,45,117386,69,550,577,2587,99,25,2444,24,22,26,101,550,229,29,89782,64650,962,26,22,7575,2992,355,278,11481,395,278,1008,2556,7308,383,278,229,29,380,8226,91603,3103,266,640,440,11481,302,278,1008,2556,383,278,229,29,380,8226,355,32191,56,18732,37,29,17,550,342,25,3375,18918,28,101,283,89782,3103,266,640,1389,32191,88,550,229,24,22,26,88387,32191,56,18732,37,29,17,550,342,24,22,32,12821,28,577,8970,229,24,22,26,550,229,24,22,27002,30,577,8970,229,24,22,26,550,229,24,22,33666,9262,89782,64650,962,27,22,7575,2992,355,278,11481,395,278,1008,2556,7308,383,432,1575,278,229,27,6383,8226,91603,3103,266,640,969,355,278,37414,11481,32191,56,18732,577,7118,229,27,17,550,229,25,640],
+        "min_rows": 1
+      },
+      "speculative": {
+        "rounds": 255,
+        "drafted": 0,
+        "accepted": 0,
+        "acceptance_rate": 0.0,
+        "tokens_per_round": 1.003921568627451
+      },
+      "content": " 1. **What is the expected value of the geometric distribution?**  \n   - The expected value is the sum of each possible value multiplied by its probability: \\(E[X] = \\sum_{x} x \\cdot P(X=x)\\).  \n   - For a geometric distribution with success probability \\(p\\), the expected value is \\(E[X] = \\frac{1}{p}\\).  \n   - Example: If \\(p = 0.2\\), then \\(E[X] = \\frac{1}{0.2} = 5\\).  \n\n**2. **What is the probability that the first success occurs on the 5th trial?**  \n   - The probability of the first success on the 5th trial is \\(P(X=5) = (1-p)^{4} p\\).  \n   - For \\(p = 0.2\\), \\(P(X=5) = (0.8)^4 \\cdot 0.2 = 0.4096 \\cdot 0.2 = 0.08192\\).  \n\n**3. **What is the probability that the first success occurs on or before the 3rd trial?**  \n   - This is the cumulative probability \\(P(X \\leq 3) = 1 -",
+      "wall": 0.9721534589999976
+    }
+  },
+  "shutdowns": {
+    "0-main.shutdown": {
+      "forced_kill": false,
+      "seconds": 0.32073083299999894,
+      "returncode": 0
+    },
+    "0-dspark-integration.shutdown": {
+      "forced_kill": false,
+      "seconds": 0.7241645420000111,
+      "returncode": 0
+    },
+    "0-standalone.shutdown": {
+      "forced_kill": false,
+      "seconds": 0.5489924169999938,
+      "returncode": 0
+    },
+    "3-main.shutdown": {
+      "forced_kill": false,
+      "seconds": 0.37671166699999503,
+      "returncode": 0
+    },
+    "1-standalone.shutdown": {
+      "forced_kill": false,
+      "seconds": 0.4988921250000118,
+      "returncode": 0
+    },
+    "3-dspark-integration.shutdown": {
+      "forced_kill": false,
+      "seconds": 0.4917552079999723,
+      "returncode": 0
+    },
+    "3-standalone.shutdown": {
+      "forced_kill": false,
+      "seconds": 0.32449470800000313,
+      "returncode": 0
+    },
+    "1-dspark-integration.shutdown": {
+      "forced_kill": false,
+      "seconds": 0.3235683330000114,
+      "returncode": 0
+    },
+    "2-main.shutdown": {
+      "forced_kill": false,
+      "seconds": 0.32860933300000283,
+      "returncode": 0
+    },
+    "2-dspark-integration.shutdown": {
+      "forced_kill": false,
+      "seconds": 0.6624245829999893,
+      "returncode": 0
+    },
+    "1-main.shutdown": {
+      "forced_kill": false,
+      "seconds": 0.4322801669999876,
+      "returncode": 0
+    },
+    "hold-retention.shutdown": {
+      "forced_kill": false,
+      "seconds": 0.5068279580000308,
+      "returncode": 0
+    },
+    "2-standalone.shutdown": {
+      "forced_kill": false,
+      "seconds": 0.37222195800001145,
+      "returncode": 0
+    }
+  },
+  "limits": [
+    "Only M5 LFM2 device coverage in this report",
+    "Integration includes the downstream DSpark adapter and final-buffer cleanup; six pricing source files match standalone exactly",
+    "No new long-context, cancellation, cold-prefill scaling, CUDA or HIP device runs",
+    "Hold retention counts slots in calls reaching payHolds, not every server round"
+  ]
+}
diff --git a/docs/receipts/pr1381-review/device_report.py b/docs/receipts/pr1381-review/device_report.py
new file mode 100644
index 0000000000..b5b7379bbf
--- /dev/null
+++ b/docs/receipts/pr1381-review/device_report.py
@@ -0,0 +1,46 @@
+import importlib.util,os,fcntl,threading,concurrent.futures as cf,hashlib,re,json
+from pathlib import Path
+s=importlib.util.spec_from_file_location('q',os.environ['TF_QUAL_HELPER']);q=importlib.util.module_from_spec(s);s.loader.exec_module(q)
+q.OUT=Path(os.environ.get('TF_REPORT_OUT','/tmp/tf1381-device-report'));q.OUT.mkdir(exist_ok=True)
+arms={'main':(Path(os.environ['TF_REPORT_MAIN']),'plain'),'standalone':(Path(os.environ['TF_REPORT_STANDALONE']),'plain'),'dspark-integration':(Path(os.environ['TF_REPORT_INTEGRATION']),'bf16')}
+prompts={'code':'Write a short Python function that computes the Fibonacci sequence and explain it.','prose':'Explain how matrix multiplication uses a GPU in plain English, then give a small numerical example.'}
+results=[];refs={}
+def batch(prompt,width):
+ gate=threading.Barrier(width)
+ def run(i):gate.wait();return q.post({'prompt':prompt,'max_tokens':256},True)
+ with cf.ThreadPoolExecutor(width) as ex:return list(ex.map(run,range(width)))
+def verify(name,rows):
+ ref=refs.setdefault(name,q.digest(rows[0]));assert all(q.digest(r)==ref for r in rows)
+def pressure(label):
+ if 'memory pressure:' in (q.OUT/(label+'.server.log')).read_text(errors='replace'):raise RuntimeError('memory pressure invalidates this cell')
+with open('/tmp/tensorfold-model.lock','a') as lock:
+ fcntl.flock(lock,fcntl.LOCK_EX)
+ q.save('binaries',{a:hashlib.sha256(b.read_bytes()).hexdigest() for a,(b,_) in arms.items()})
+ for rep in range(4):
+  names=list(arms);offset=rep%len(names);names=names[offset:]+names[:offset]
+  for arm in names:
+   binary,mode=arms[arm];label=f'{rep}-{arm}'
+   with q.Server(label,binary,mode,4096,16):
+    pressure(label)
+    for name,prompt in prompts.items():
+     q.post({'prompt':prompt,'max_tokens':32})
+     if rep == 0 and arm == 'dspark-integration':
+      oracle=q.post({'prompt':prompt,'max_tokens':256,'draft':False});verify(name,[oracle]);q.save(name+'-draft-false-oracle',oracle)
+     for width in [4,8,16]:
+      rows=batch(prompt,width);verify(name,rows);pressure(label)
+      item={'round':rep,'arm':arm,'prompt':name,'streams':width,'tps':width*255/(max(r['last'] for r in rows)-min(r['first'] for r in rows)),'requests':rows};results.append(item);q.save('comparison',results);q.emit('cell',**{k:v for k,v in item.items() if k!='requests'})
+ diagnostic=Path(os.environ['TF_REPORT_DIAGNOSTIC'])
+ q.save('diagnostic-binary',{'sha256':hashlib.sha256(diagnostic.read_bytes()).hexdigest()})
+ counters=[];label='hold-retention'
+ with q.Server(label,diagnostic,'bf16',4096,16):
+  path=q.OUT/(label+'.server.log')
+  for name,prompt in prompts.items():
+   q.post({'prompt':prompt,'max_tokens':32})
+   for width in [4,8,16]:
+    start=path.stat().st_size;rows=batch(prompt,width);verify(name,rows);pressure(label)
+    text=path.read_bytes()[start:].decode(errors='replace')
+    events=[dict(zip(['streams','offered','kept'],map(int,m))) for m in re.findall(r'TF_HOLD_PRICE streams=(\d+) offered=(\d+) kept=(\d+)',text)]
+    offered=sum(x['offered'] for x in events);kept=sum(x['kept'] for x in events)
+    assert events and offered>0
+    item={'prompt':name,'requested_streams':width,'offered':offered,'kept':kept,'fraction':kept/offered,'events':events,'requests':rows};counters.append(item);q.save('hold-retention',counters);q.emit('retention',**{k:v for k,v in item.items() if k not in ('requests','events')})
+ q.emit('done',cells=len(results),retention_cells=len(counters))

From f2d04caaf3628ec59810b36d58655df214996627 Mon Sep 17 00:00:00 2001
From: BlivionIaG <15323295+BlivionIaG@users.noreply.github.com>
Date: Sun, 25 Oct 2026 01:13:08 +0200
Subject: [PATCH 5/7] lfm2: keep a drafter's tapped rows on every forward

The lane core can put an external drafter in front of a target. The
drafter reads the target's hidden rows after some layers (its taps).
LFM2-MoE had no taps, so it could draft only with the core's own heads.

prepare_features names the layers. From then on, each forward copies
each row's output of those layers into the scratch (lfm2_tap, a plain
copy of bf16 values). features() gives a stream's rows of the latest
verify or one-token round. prefill_features hands each prompt chunk's
rows to the drafter before the chunk's end is kept for reuse. The
prompt's last row is kept beside the stream's caches for its first
draft.

A drafting stream resumes only a kept state that also holds its
drafter's context (Snap.draft). Without a drafter nothing changes: no
taps are kept and every forward runs as before.

lfm2_tap registers with the kernel contract (metal_lfm2_tap.zig): the
third of five taps' columns at 1, 10, 32 and 2,048 rows must hold the
layer's bits and the other columns what the call found. Gate 5 checks
its launch against every Apple chip we serve and this GPU.
test-lfm2-dspark checks the same copy through the family's own kernels.
---
 zig/build/metal_targets.zig               |   2 +
 zig/kernels/metal/lfm2/lfm2.metal         |   8 ++
 zig/src/families/lfm2_moe/backend.zig     |  82 ++++++++++++-
 zig/src/families/lfm2_moe/dspark_test.zig |  77 ++++++++++++
 zig/src/families/lfm2_moe/forward.zig     |  14 +++
 zig/src/families/lfm2_moe/kernels.zig     |   1 +
 zig/src/families/lfm2_moe/snapshot.zig    |   3 +-
 zig/src/families/lfm2_moe/state.zig       |  12 ++
 zig/src/tensorfold.zig                    |   1 +
 zig/tests/contract/metal_lfm2_tap.zig     | 143 ++++++++++++++++++++++
 zig/tests/contract/metal_main.zig         |  17 +++
 11 files changed, 354 insertions(+), 6 deletions(-)
 create mode 100644 zig/src/families/lfm2_moe/dspark_test.zig
 create mode 100644 zig/tests/contract/metal_lfm2_tap.zig

diff --git a/zig/build/metal_targets.zig b/zig/build/metal_targets.zig
index 8a16d7432e..efa248606d 100644
--- a/zig/build/metal_targets.zig
+++ b/zig/build/metal_targets.zig
@@ -462,6 +462,8 @@ pub fn metalTargets(b: *std.Build, target: std.Build.ResolvedTarget, optimize: s
     b.step("test-nemotron-round-depth-host", "Priced head depth, nonlanding levels and fixed-depth controls without devices").dependOn(&round_depth.step);
     const lfm2_tests = b.addRunArtifact(b.addTest(.{ .root_module = engine, .filters = &.{"lfm2_moe"} }));
     b.step("test-lfm2", "The LFM2-MoE family's tests: config, draws, state and its shared rounds on this Mac's GPU").dependOn(&lfm2_tests.step);
+    const lfm2_dspark = b.addRunArtifact(b.addTest(.{ .root_module = engine, .filters = &.{"lfm2 dspark:"} }));
+    b.step("test-lfm2-dspark", "LFM2's taps for a drafter: the tap kernel on this Mac's GPU").dependOn(&lfm2_dspark.step);
     test_step.dependOn(&b.addRunArtifact(b.addTest(.{ .root_module = lanes })).step);
     // the fake fabric maps its windows with mmap: the Macs' RDMA, not Windows
     if (target.result.os.tag != .windows) test_step.dependOn(&b.addRunArtifact(b.addTest(.{ .root_module = fabric })).step);
diff --git a/zig/kernels/metal/lfm2/lfm2.metal b/zig/kernels/metal/lfm2/lfm2.metal
index af6a2a7372..b2772cf64e 100644
--- a/zig/kernels/metal/lfm2/lfm2.metal
+++ b/zig/kernels/metal/lfm2/lfm2.metal
@@ -568,3 +568,11 @@ constant constexpr uint SORT_CHUNKS = 16;  // thread (e, c) counts expert e's pi
     best[2 * row + 1] = bad;
   }
 }
+
+// A drafter's tap: H's rows [rows, D] copied into TAPS at column `at.y` of rows `at.x` values apart, 8 a thread.
+[[kernel]] void lfm2_tap(const device bfloat* h [[buffer(0)]], device bfloat* taps [[buffer(1)]], constant uint2& at [[buffer(2)]],
+                         uint2 i [[thread_position_in_grid]]) {
+  if (i.x >= D / 8) return;
+  const device vec<bfloat, 8>* from = (const device vec<bfloat, 8>*)(h + size_t(i.y) * D);
+  ((device vec<bfloat, 8>*)(taps + size_t(i.y) * at.x + at.y))[i.x] = from[i.x];
+}
diff --git a/zig/src/families/lfm2_moe/backend.zig b/zig/src/families/lfm2_moe/backend.zig
index d713c9ec24..44427d435a 100644
--- a/zig/src/families/lfm2_moe/backend.zig
+++ b/zig/src/families/lfm2_moe/backend.zig
@@ -23,6 +23,8 @@ pub const Metal = struct {
     /// Forward ms by window width, timed at load: the lane core weighs drafts against them.
     costs: [st.window_rows]lanes.config.Cost = undefined,
     timed: usize = 0,
+    /// Forwards run so far: a stream's tapped rows in the scratch are current while their gen matches.
+    gen: u64 = 0,
 
     pub fn init(gpa: std.mem.Allocator, model: *Model, options: Options) !*Metal {
         const out = try gpa.create(Metal);
@@ -88,7 +90,7 @@ pub const Metal = struct {
     }
 
     pub fn backend(self: *Metal) be.Backend {
-        return .{ .ptr = self, .vtable = &.{ .prefill = prefillFn, .first = firstFn, .first_masked = firstMaskedFn, .queue = queueFn, .read = readFn, .verify = verifyFn, .keep = keepFn, .draft = draftFn, .release = releaseFn } };
+        return .{ .ptr = self, .vtable = &.{ .prefill = prefillFn, .prepare_features = prepareFn, .features = featuresFn, .prefill_features = prefillFeaturesFn, .first = firstFn, .first_masked = firstMaskedFn, .queue = queueFn, .read = readFn, .verify = verifyFn, .keep = keepFn, .draft = draftFn, .release = releaseFn } };
     }
 
     fn cast(ptr: *anyopaque) *Metal {
@@ -107,8 +109,65 @@ pub const Metal = struct {
         return cache;
     }
 
+    /// One forward on the scratch; a stream's tapped rows from earlier forwards are stale after it.
+    fn run(self: *Metal, segments: []const fwd.Segment, tokens: []const u32, record: bool, head: fwd.Head) !void {
+        self.gen += 1;
+        try fwd.run(self.model, &self.scratch, segments, tokens, record, head);
+    }
+
     fn prefillFn(ptr: *anyopaque, stream: *lanes.Stream) !void {
+        return cast(ptr).prefillWith(stream, null);
+    }
+
+    /// The prompt pass, `sink` taking each chunk's tapped rows before the chunk's end is kept for reuse.
+    fn prefillFeaturesFn(ptr: *anyopaque, stream: *lanes.Stream, layers: []const u32, sink: be.FeatureSink) !void {
+        const self = cast(ptr);
+        const t = self.scratch.taps orelse return error.UnpreparedLfmTaps;
+        if (layers.len != t.count) return error.UnpreparedLfmTaps;
+        return self.prefillWith(stream, sink);
+    }
+
+    /// A tapped row's bytes: every tap's hidden row, bf16.
+    fn tapBytes(self: *const Metal) usize {
+        return if (self.scratch.taps) |t| t.count * c.hidden * 2 else 0;
+    }
+
+    /// The drafter's layers: every forward from now on keeps their outputs for each row.
+    fn prepareFn(ptr: *anyopaque, layers: []const u32) !void {
         const self = cast(ptr);
+        if (layers.len == 0 or layers.len > st.max_taps) return error.BadLfmTaps;
+        for (layers) |l| if (l >= c.layers) return error.BadLfmTaps;
+        if (self.scratch.taps) |t| return if (std.mem.eql(u32, t.layers[0..t.count], layers)) {} else error.BadLfmTaps;
+        var t: st.Taps = .{ .count = @intCast(layers.len), .buf = undefined };
+        @memcpy(t.layers[0..layers.len], layers);
+        t.buf = try self.scratch.memory.alloc(self.scratch.rows * layers.len * c.hidden * 2);
+        self.scratch.taps = t;
+    }
+
+    /// Cache rows [start, start + count) of the stream's latest tapped rows, on the device.
+    fn featuresFn(ptr: *anyopaque, stream: *lanes.Stream, layers: []const u32, start: u64, count: u32) !be.Features {
+        const self = cast(ptr);
+        const t = self.scratch.taps orelse return error.UnpreparedLfmTaps;
+        if (layers.len != t.count) return error.UnpreparedLfmTaps;
+        const cache = try self.cacheOf(stream);
+        const held = cache.tap orelse return error.LfmTapsNotHeld;
+        if (count == 0 or start < held.start or start + count > held.start + held.rows) return error.LfmTapsNotHeld;
+        const width = self.tapBytes();
+        const buf = if (held.gen == 0) cache.last_tap.? else if (held.gen == self.gen) t.buf else return error.StaleLfmTaps;
+        const row = held.row + @as(usize, @intCast(start - held.start));
+        return .{ .buffer = @intFromPtr(buf.id), .offset = row * width, .rows = count, .row_bytes = @intCast(width), .space = .device, .dtype = .bf16 };
+    }
+
+    /// The prompt's last row's taps, copied beside the stream's caches for its first draft (gen 0: kept there).
+    fn keepLastTap(self: *Metal, cache: *st.Cache, row: usize, position: usize) !void {
+        const width = self.tapBytes();
+        if (width == 0) return;
+        if (cache.last_tap == null) cache.last_tap = try cache.memory.alloc(width);
+        @memcpy(cache.last_tap.?.contents()[0..width], (self.scratch.taps.?.buf.contents() + row * width)[0..width]);
+        cache.tap = .{ .start = position, .row = 0, .rows = 1, .gen = 0 };
+    }
+
+    fn prefillWith(self: *Metal, stream: *lanes.Stream, sink: ?be.FeatureSink) !void {
         const ids = stream.prompt();
         if (ids.len == 0 or ids.len + stream.max_new > self.options.capacity or self.caches.contains(stream)) return error.InvalidLfmPrompt;
         const capacity = @min(self.options.capacity, ids.len + stream.max_new + st.window_rows);
@@ -121,7 +180,9 @@ pub const Metal = struct {
         stream.cached = 0;
         if (stream.reuse.saved) |saved| { // a kept state of this prompt's prefix: the pass starts there
             const snap: *snapshot.Snap = @ptrCast(@alignCast(saved));
-            if (snap.at < ids.len) if (snapshot.restore(cache, snap)) |_| {
+            // a drafting stream resumes only a state kept with its drafter's context
+            const drafter_less = sink != null and snap.draft == null;
+            if (snap.at < ids.len and !drafter_less) if (snapshot.restore(cache, snap)) |_| {
                 at = snap.at;
             } else |_| {};
             stream.cached = @intCast(at);
@@ -136,7 +197,13 @@ pub const Metal = struct {
             };
             while (mark < stream.reuse.marks.len and stream.reuse.marks[mark] <= at) mark += 1;
             if (mark < stream.reuse.marks.len) end = @min(end, stream.reuse.marks[mark]);
-            try fwd.run(self.model, &self.scratch, &.{.{ .cache = cache, .rows = end - at }}, ids[at..end], false, .last);
+            try self.run(&.{.{ .cache = cache, .rows = end - at }}, ids[at..end], false, .last);
+            if (sink) |k| {
+                const width = self.tapBytes();
+                const f: be.Features = .{ .buffer = @intFromPtr(self.scratch.taps.?.buf.id), .rows = @intCast(end - at), .row_bytes = @intCast(width), .space = .device, .dtype = .bf16 };
+                try k.take(k.ptr, stream, f, at);
+                if (end == ids.len) try self.keepLastTap(cache, end - 1 - at, end - 1);
+            }
             at = end;
             if (stream.reuse.hook) |hk| if (std.mem.indexOfScalar(u32, stream.reuse.marks, @intCast(at)) != null)
                 hk.at(hk.ptr, stream, @intCast(at));
@@ -165,7 +232,8 @@ pub const Metal = struct {
             .value => |v| v,
             .handle => |h| @intCast(h),
         };
-        try fwd.run(self.model, &self.scratch, &.{.{ .cache = cache, .rows = 1 }}, &.{token}, false, .all);
+        try self.run(&.{.{ .cache = cache, .rows = 1 }}, &.{token}, false, .all);
+        if (self.scratch.taps != null) cache.tap = .{ .start = cache.len - 1, .row = 0, .rows = 1, .gen = self.gen };
         return try draw(self.gpa, cache.logits.slice(u16, c.vocab), stream.sampling, position, &.{});
     }
 
@@ -191,7 +259,11 @@ pub const Metal = struct {
             @memcpy(ids[total + 1 ..][0..w.tokens.len], w.tokens);
             total += rows;
         }
-        try fwd.run(self.model, &self.scratch, segments[0..windows.len], ids[0..total], true, .all);
+        try self.run(segments[0..windows.len], ids[0..total], true, .all);
+        if (self.scratch.taps != null) for (segments[0..windows.len]) |seg| {
+            const last = seg.cache.last.?;
+            seg.cache.tap = .{ .start = last.start, .row = last.base, .rows = last.rows, .gen = self.gen };
+        };
         const logits = self.scratch.logits.slice(u16, total * c.vocab);
         const best = self.scratch.best.slice(u32, 2 * total);
         var base: usize = 0;
diff --git a/zig/src/families/lfm2_moe/dspark_test.zig b/zig/src/families/lfm2_moe/dspark_test.zig
new file mode 100644
index 0000000000..d220b9ea66
--- /dev/null
+++ b/zig/src/families/lfm2_moe/dspark_test.zig
@@ -0,0 +1,77 @@
+//! The DSpark drafter's kernels on the GPU against host references: the target's taps.
+const std = @import("std");
+const mtl = @import("metal");
+const c = @import("config.zig");
+const kernels = @import("kernels.zig");
+
+const shared = mtl.ResourceOptions.shared;
+
+const Rig = struct {
+    device: mtl.Device,
+    queue: mtl.Queue,
+    k: kernels.Kernels,
+
+    fn init() !Rig {
+        const device = mtl.Device.init() catch return error.SkipZigTest;
+        errdefer device.deinit();
+        const queue = try device.queue();
+        errdefer queue.deinit();
+        return .{ .device = device, .queue = queue, .k = try kernels.load(device) };
+    }
+
+    fn deinit(r: *Rig) void {
+        r.k.deinit();
+        r.queue.deinit();
+        r.device.deinit();
+    }
+
+    fn buffer(r: *Rig, comptime T: type, n: usize) !mtl.Buffer {
+        const b = try r.device.buffer(n * @sizeOf(T), shared);
+        @memset(b.slice(u8, n * @sizeOf(T)), 0);
+        return b;
+    }
+
+    fn run(r: *Rig, comptime key: []const u8, bufs: []const mtl.Buffer, value: anytype, at: usize, grid: [2]usize) !void {
+        const cb = r.queue.commandBuffer();
+        const e = cb.compute(.serial);
+        e.setPipeline(r.k.get(key));
+        for (bufs, 0..) |b, i| e.setBuffer(b, 0, if (i >= at) i + 1 else i);
+        e.setValue(value, at);
+        e.dispatchThreads(mtl.Size.of(grid[0], grid[1], 1), mtl.Size.of(@min(grid[0], 256), 1, 1));
+        e.end();
+        cb.commit();
+        cb.wait();
+        if (cb.failure()) |_| return error.GpuFailed;
+    }
+};
+
+/// Round to nearest even, as MLX casts.
+fn toBf16(f: f32) u16 {
+    const b: u32 = @bitCast(f);
+    return @truncate((b + 0x7fff + ((b >> 16) & 1)) >> 16);
+}
+
+fn noise(seed: u64, out: []u16, scale: f32) void {
+    var prng = std.Random.DefaultPrng.init(seed);
+    for (out) |*v| v.* = toBf16((prng.random().float(f32) * 2 - 1) * scale);
+}
+
+test "lfm2 dspark: the tap kernel copies each row's hidden values into its tap's columns, the rest untouched" {
+    var r = try Rig.init();
+    defer r.deinit();
+    const rows = 5;
+    const taps = 3;
+    const h = try r.buffer(u16, rows * c.hidden);
+    defer h.deinit();
+    const out = try r.buffer(u16, rows * taps * c.hidden);
+    defer out.deinit();
+    noise(7, h.slice(u16, rows * c.hidden), 4);
+    try r.run("lfm2_tap", &.{ h, out }, [2]u32{ taps * c.hidden, c.hidden }, 2, .{ c.hidden / 8, rows });
+    const want = h.slice(u16, rows * c.hidden);
+    const got = out.slice(u16, rows * taps * c.hidden);
+    for (0..rows) |row| {
+        try std.testing.expectEqualSlices(u16, want[row * c.hidden ..][0..c.hidden], got[(row * taps + 1) * c.hidden ..][0..c.hidden]);
+        for (got[row * taps * c.hidden ..][0..c.hidden]) |v| try std.testing.expectEqual(@as(u16, 0), v);
+        for (got[(row * taps + 2) * c.hidden ..][0..c.hidden]) |v| try std.testing.expectEqual(@as(u16, 0), v);
+    }
+}
diff --git a/zig/src/families/lfm2_moe/forward.zig b/zig/src/families/lfm2_moe/forward.zig
index 212b5978bc..7b63833192 100644
--- a/zig/src/families/lfm2_moe/forward.zig
+++ b/zig/src/families/lfm2_moe/forward.zig
@@ -146,6 +146,7 @@ pub fn run(m: *Model, s: *st.Scratch, segments: []const Segment, tokens: []const
     for (m.weights.blocks, 0..) |block, i| {
         enc.norm(s, block.operator_norm, i == 0, total, combine);
         combine = false;
+        if (i > 0) tap(enc, s, i - 1, total);
         switch (block.mixer) {
             .conv => |cv| conv(enc, s, cv, i, segments, total),
             .attention => |a| attention(enc, s, a, &m.config, segments, i, total),
@@ -162,6 +163,7 @@ pub fn run(m: *Model, s: *st.Scratch, segments: []const Segment, tokens: []const
         }
     }
     enc.norm(s, m.weights.norm, false, total, combine);
+    tap(enc, s, c.layers - 1, total);
     if (head == .all) {
         enc.projection(embedding, s.x, 0, s.logits, 0, total);
         enc.pipe("lfm2_argmax");
@@ -187,6 +189,18 @@ pub fn run(m: *Model, s: *st.Scratch, segments: []const Segment, tokens: []const
     }
 }
 
+/// Layer `layer`'s output rows (h, just summed by the next norm) into each tap of it, when a drafter reads them.
+fn tap(enc: Encoder, s: *st.Scratch, layer: usize, total: usize) void {
+    const taps = s.taps orelse return;
+    for (taps.layers[0..taps.count], 0..) |l, t| if (l == layer) {
+        enc.pipe("lfm2_tap");
+        enc.e.setBuffer(s.h, 0, 0);
+        enc.e.setBuffer(taps.buf, 0, 1);
+        enc.e.setValue([2]u32{ taps.count * c.hidden, @intCast(t * c.hidden) }, 2);
+        enc.threads(.{ c.hidden / 8, total, 1 }, .{ 256, 1, 1 });
+    };
+}
+
 fn conv(enc: Encoder, s: *st.Scratch, cv: wts.Conv, layer: usize, segments: []const Segment, total: usize) void {
     const e = enc.e;
     enc.projection(cv.in, s.x, 0, s.bcx, 0, total);
diff --git a/zig/src/families/lfm2_moe/kernels.zig b/zig/src/families/lfm2_moe/kernels.zig
index aa1e798fc0..61af45f4c8 100644
--- a/zig/src/families/lfm2_moe/kernels.zig
+++ b/zig/src/families/lfm2_moe/kernels.zig
@@ -27,6 +27,7 @@ const names = [_][:0]const u8{
     "lfm2_qk_segs",
     "lfm2_attn_segs",
     "lfm2_attn_merge_segs",
+    "lfm2_tap",
 };
 
 pub const Kernels = struct {
diff --git a/zig/src/families/lfm2_moe/snapshot.zig b/zig/src/families/lfm2_moe/snapshot.zig
index d1c1a8b3ae..d7289331b7 100644
--- a/zig/src/families/lfm2_moe/snapshot.zig
+++ b/zig/src/families/lfm2_moe/snapshot.zig
@@ -4,7 +4,7 @@ const c = @import("config.zig");
 const st = @import("state.zig");
 
 /// One state: conv states by conv layer, then keys and values [kv head][at][head dim] by attention layer.
-pub const Snap = struct { at: u32, bytes: []u8 };
+pub const Snap = struct { at: u32, bytes: []u8, draft: ?[]u8 = null };
 
 /// A row's keys or values for every kv head of one attention layer.
 const row_bytes = c.kv_heads * c.head_dim * 2;
@@ -56,6 +56,7 @@ pub fn restore(cache: *st.Cache, snap: *const Snap) !void {
 }
 
 pub fn drop(gpa: std.mem.Allocator, snap: *Snap) void {
+    if (snap.draft) |d| gpa.free(d); // the drafter's context at `at`, when one was kept with the state
     gpa.free(snap.bytes);
     gpa.destroy(snap);
 }
diff --git a/zig/src/families/lfm2_moe/state.zig b/zig/src/families/lfm2_moe/state.zig
index 3242d8bf26..1bc749ae95 100644
--- a/zig/src/families/lfm2_moe/state.zig
+++ b/zig/src/families/lfm2_moe/state.zig
@@ -51,6 +51,12 @@ pub const Storage = struct {
 };
 
 pub const Attention = struct { keys: mtl.Buffer, values: mtl.Buffer };
+/// Layers a drafter reads at most (each layer's output, hidden wide).
+pub const max_taps = 8;
+/// The drafter's layers in its order and every forward row's outputs of them, [rows][count][hidden] bf16.
+pub const Taps = struct { layers: [max_taps]u32 = @splat(0), count: u32 = 0, buf: mtl.Buffer };
+/// Where a stream's latest tapped rows sit in the scratch: cache rows [start, start + rows) from scratch row `row`.
+pub const TapRows = struct { start: usize, row: usize, rows: usize, gen: u64 };
 pub const Mixer = union(enum) { conv: mtl.Buffer, attention: Attention };
 
 pub const Cache = struct {
@@ -60,6 +66,9 @@ pub const Cache = struct {
     last: ?struct { start: usize, base: usize, rows: usize } = null,
     blocks: [c.layers]Mixer,
     logits: mtl.Buffer,
+    /// The stream's latest tapped rows in the scratch, and its prompt's last row's taps (kept for the first draft).
+    tap: ?TapRows = null,
+    last_tap: ?mtl.Buffer = null,
 
     pub fn init(gpa: std.mem.Allocator, device: mtl.Device, attention: *const [c.layers]bool, capacity: usize) !Cache {
         var out: Cache = .{ .memory = .{ .gpa = gpa, .device = device }, .capacity = capacity, .blocks = undefined, .logits = undefined };
@@ -148,6 +157,8 @@ pub const Scratch = struct {
     segs: mtl.Buffer,
     rowseg: mtl.Buffer,
     tiles: mtl.Buffer,
+    /// A drafter's taps of every row, once the backend is told its layers (null: none kept).
+    taps: ?Taps = null,
 
     pub fn init(gpa: std.mem.Allocator, device: mtl.Device, attention: *const [c.layers]bool, rows: usize) !Scratch {
         var out: Scratch = undefined;
@@ -155,6 +166,7 @@ pub const Scratch = struct {
         errdefer out.memory.deinit();
         out.rows = rows;
         out.snapshots = @splat(null);
+        out.taps = null;
         const mem = &out.memory;
         const slots = rows * c.topk;
         out.ids = try mem.alloc(rows * 4);
diff --git a/zig/src/tensorfold.zig b/zig/src/tensorfold.zig
index 4fa4fbe147..6148579bf6 100644
--- a/zig/src/tensorfold.zig
+++ b/zig/src/tensorfold.zig
@@ -88,6 +88,7 @@ test {
     _ = @import("families/lfm2_moe/config.zig");
     _ = @import("families/lfm2_moe/backend.zig");
     _ = @import("families/lfm2_moe/state.zig");
+    _ = @import("families/lfm2_moe/dspark_test.zig");
 }
 
 pub const lane_projection = @import("core/lane_projection.zig");
diff --git a/zig/tests/contract/metal_lfm2_tap.zig b/zig/tests/contract/metal_lfm2_tap.zig
new file mode 100644
index 0000000000..871ea8a8a2
--- /dev/null
+++ b/zig/tests/contract/metal_lfm2_tap.zig
@@ -0,0 +1,143 @@
+//! LFM2's tap copy for an external drafter (lfm2_tap): a layer's rows into their tap's columns, the others kept.
+const std = @import("std");
+const mtl = @import("metal");
+const contract = @import("contract");
+const sources = @import("kernel_sources");
+const c = contract.spec;
+const g = contract.gates;
+const rig_ = @import("rig.zig");
+
+const hidden = 2048;
+const taps = 5;
+pub const name = "metal lfm2 tap copy";
+
+/// rows: one decode row, a verify window, a shared round's 32 and a 2,048-row prompt chunk.
+const shapes = [_]c.Shape{ .{ .rows = 1, .n = taps * hidden, .k = 1 }, .{ .rows = 10, .n = taps * hidden, .k = 1 }, .{ .rows = 32, .n = taps * hidden, .k = 1 }, .{ .rows = 2048, .n = taps * hidden, .k = 1 } };
+
+fn none(_: c.Shape) usize {
+    return 0;
+}
+
+pub fn spec() c.Spec {
+    return .{ .name = name, .accum = .none, .depth = none, .out = .bf16, .served = &shapes, .sums = .{ .f16 = 0, .bf16 = 0, .why = "a copy moves values: no sums" } };
+}
+
+/// A bf16 value for element `i` over signs and binades; the nonfinite fill plants NaN and infinities.
+fn value(i: usize, seed: u64, fill: g.Fill) u16 {
+    if (fill == .nonfinite) switch ((@as(u64, i) *% 2654435761 +% seed) % 9973) {
+        0 => return 0x7fc0,
+        1 => return 0x7f80,
+        2 => return 0xff80,
+        else => {},
+    };
+    const h: u64 = (@as(u64, i) *% 0x9e3779b97f4a7c15 +% seed *% 0xbf58476d1ce4e5b9) >> 40;
+    const mant: f32 = @as(f32, @floatFromInt(h % 1024)) / 1024 + 1;
+    const exp: i32 = @as(i32, @intCast((h >> 10) % 8)) - 4;
+    const v = std.math.ldexp(mant, exp) * @as(f32, if (((h >> 15) & 1) == 0) 1 else -1);
+    return c.toBf16(v);
+}
+
+pub const Probe = struct {
+    a: std.mem.Allocator,
+    rig: rig_.Rig,
+    pipe: mtl.Pipeline,
+    rows: usize = 0,
+    src: []u16 = &.{}, // H rows
+    prior: []u16 = &.{}, // the taps rows as the call finds them (the other taps' columns must stay)
+    args: [2]rig_.Ref = undefined,
+    y: rig_.Ref = undefined,
+
+    pub fn init(a: std.mem.Allocator, device: mtl.Device, queue: mtl.Queue) !Probe {
+        return .{ .a = a, .rig = .{ .a = a, .device = device, .queue = queue }, .pipe = try rig_.pipeline(device, sources.lfm2, "lfm2_tap") };
+    }
+
+    fn drop(p: *Probe) void {
+        p.a.free(p.src);
+        p.a.free(p.prior);
+        p.src = &.{};
+        p.prior = &.{};
+        p.rig.reset();
+    }
+
+    pub fn deinit(p: *Probe) void {
+        p.drop();
+        p.rig.deinit();
+        p.pipe.deinit();
+    }
+
+    const vt = g.hooks(Probe);
+    pub fn kernel(p: *Probe) g.Kernel {
+        return .{ .ctx = p, .vt = &vt, .spec = spec() };
+    }
+
+    fn fill(out: []u16, seed: u64, f: g.Fill) void {
+        for (out, 0..) |*v, i| v.* = value(i, seed, f);
+    }
+
+    pub fn prepare(p: *Probe, s: c.Shape, f: g.Fill, seed: u64) !bool {
+        p.drop();
+        if (s.n != taps * hidden or s.rows == 0) return false;
+        p.rows = s.rows;
+        p.src = try p.a.alloc(u16, s.rows * hidden);
+        fill(p.src, seed, f);
+        p.prior = try p.a.alloc(u16, s.rows * taps * hidden);
+        fill(p.prior, seed +% 3, .random);
+        p.args[0] = try p.rig.input(std.mem.sliceAsBytes(p.src));
+        const at = [2]u32{ taps * hidden, 2 * hidden }; // the third tap's columns
+        p.args[1] = try p.rig.input(std.mem.asBytes(&at));
+        p.y = try p.rig.output(p.count() * 2);
+        return true;
+    }
+
+    pub fn count(p: *Probe) usize {
+        return p.rows * taps * hidden;
+    }
+
+    pub fn run(p: *Probe) !void {
+        @memcpy(p.rig.bytes(p.y, p.count() * 2), std.mem.sliceAsBytes(p.prior));
+        const pass = p.rig.begin();
+        const e = pass.e;
+        e.setPipeline(p.pipe);
+        e.setBuffer(p.args[0].buf, p.args[0].off, 0);
+        e.setBuffer(p.y.buf, p.y.off, 1);
+        e.setBuffer(p.args[1].buf, p.args[1].off, 2);
+        e.dispatchThreads(mtl.Size.of(hidden / 8, p.rows, 1), mtl.Size.of(256, 1, 1));
+        return p.rig.finish(pass);
+    }
+
+    pub fn reference(p: *Probe, want: []f64, mag: []f64) !void {
+        for (want, mag, p.prior) |*w, *m, v| { // the other taps' columns keep what the call found
+            w.* = c.fromBf16(v);
+            m.* = @abs(w.*);
+        }
+        for (0..p.rows) |r| for (0..hidden) |i| {
+            const v = c.fromBf16(p.src[r * hidden + i]);
+            want[r * taps * hidden + 2 * hidden + i] = v;
+            mag[r * taps * hidden + 2 * hidden + i] = @abs(v);
+        };
+    }
+
+    /// The copy is exact: the third tap's columns hold H's bits, the others what the call found.
+    pub fn check(p: *Probe, _: g.Gate) !?[]const u8 {
+        const out = std.mem.bytesAsSlice(u16, p.rig.bytes(p.y, p.count() * 2));
+        for (out, p.prior, 0..) |got, before, i| {
+            const r = i / (taps * hidden);
+            const col = i % (taps * hidden);
+            const want = if (col >= 2 * hidden and col < 3 * hidden) p.src[r * hidden + col - 2 * hidden] else before;
+            if (got != want) return "an output differs from the copy's bits";
+        }
+        return null;
+    }
+};
+
+/// Gate 5 for the tap's launch of 256 threads and no threadgroup memory: every Apple chip we serve, then this GPU.
+pub fn limits(a: std.mem.Allocator, device: mtl.Device, only: ?[]const u8) !usize {
+    if (only) |s| if (std.mem.indexOf(u8, name, s) == null) return 0;
+    const d = contract.limits.MetalLaunch{ .name = name, .threads = 256, .tg_memory = 0, .offline = false };
+    var notes: std.ArrayList(u8) = .empty;
+    defer notes.deinit(a);
+    var problems: usize = 0;
+    for (contract.limits.apple) |chip| problems += try contract.limits.metal(d, chip, &notes, a);
+    std.debug.print("{s}", .{notes.items});
+    return problems + try @import("metal_limits.zig").onThisGpu(a, device, .{ .decl = d, .function = "lfm2_tap", .here = sources.lfm2, .pre_m5 = "" }, false);
+}
diff --git a/zig/tests/contract/metal_main.zig b/zig/tests/contract/metal_main.zig
index 46801e171c..7f44fbb441 100644
--- a/zig/tests/contract/metal_main.zig
+++ b/zig/tests/contract/metal_main.zig
@@ -26,6 +26,7 @@ const gemma_embed = @import("metal_gemma4_embed.zig");
 const gemma_mixed = @import("metal_gemma4_mixed.zig");
 const lfm2_argmax = @import("metal_lfm2_argmax.zig");
 const lfm2_streams = @import("metal_lfm2_streams.zig");
+const lfm2_tap = @import("metal_lfm2_tap.zig");
 const lfm2_controls = @import("metal_lfm2_controls.zig");
 const g = contract.gates;
 const usage = "usage: tf-kernel-contract [--only TEXT] [--no-gates] [--no-limits] [--offline DIR] [--seed N] [--repro] [--rotary-long] [--rotary-accuracy FILE]";
@@ -191,6 +192,22 @@ pub fn main(init: std.process.Init) !u8 {
             try kernels.append(a, p.kernel());
         }
     }
+    var tap_list: std.ArrayList(*lfm2_tap.Probe) = .empty;
+    defer {
+        for (tap_list.items) |p| {
+            p.deinit();
+            a.destroy(p);
+        }
+        tap_list.deinit(a);
+    }
+    for ([_]lfm2_controls.Mutation{ .none, .tap_packed_rows, .tap_clobbers_column }) |m| {
+        if (!wanted(o, if (m == .none) lfm2_tap.name else m.name())) continue;
+        const p = try a.create(lfm2_tap.Probe);
+        errdefer a.destroy(p);
+        p.* = try lfm2_tap.Probe.init(a, device, queue, m);
+        try tap_list.append(a, p);
+        try kernels.append(a, p.kernel());
+    }
     var rows_list: std.ArrayList(*rows_k.Row) = .empty;
     var proj_list: std.ArrayList(*affine_k.Proj) = .empty;
     defer for (rows_list.items) |r| r.deinit();

From 4156e9e62a8b403ecf50f6c39d49f321199e79c1 Mon Sep 17 00:00:00 2001
From: BlivionIaG <15323295+BlivionIaG@users.noreply.github.com>
Date: Thu, 29 Oct 2026 23:38:34 +0100
Subject: [PATCH 6/7] lfm2 taps: retain launch limits, negative controls and
 current main contracts

---
 zig/src/core/contract/lfm2_records.zig     |  1 +
 zig/tests/contract/metal_lfm2_controls.zig |  6 ++++++
 zig/tests/contract/metal_lfm2_tap.zig      | 24 ++++++++--------------
 3 files changed, 16 insertions(+), 15 deletions(-)

diff --git a/zig/src/core/contract/lfm2_records.zig b/zig/src/core/contract/lfm2_records.zig
index 355559b1ff..e3f7179595 100644
--- a/zig/src/core/contract/lfm2_records.zig
+++ b/zig/src/core/contract/lfm2_records.zig
@@ -7,6 +7,7 @@ pub const records = [_]M{
     .{ .name = "metal lfm2 stream attention qk lfm2_qk_segs", .threads = 32, .tg_memory = 0, .m1 = 832, .m2 = 832 },
     .{ .name = "metal lfm2 stream attention lfm2_attn_segs", .threads = 128, .tg_memory = 18688, .reserved = 128 },
     .{ .name = "metal lfm2 stream attention merge lfm2_attn_merge_segs", .threads = 32, .tg_memory = 0, .m1 = 1024, .m2 = 1024 },
+    .{ .name = "metal lfm2 tap lfm2_tap", .threads = 256, .tg_memory = 0, .m1 = 1024, .m2 = 1024 },
 };
 
 test "the LFM2 launches fit every Apple family" {
diff --git a/zig/tests/contract/metal_lfm2_controls.zig b/zig/tests/contract/metal_lfm2_controls.zig
index 655a97d4fc..4d875b0fe8 100644
--- a/zig/tests/contract/metal_lfm2_controls.zig
+++ b/zig/tests/contract/metal_lfm2_controls.zig
@@ -9,6 +9,8 @@ pub const Mutation = enum {
     argmax_no_flag,
     conv_first_state,
     attention_first_cache,
+    tap_packed_rows,
+    tap_clobbers_column,
 
     pub fn name(m: Mutation) []const u8 {
         return switch (m) {
@@ -17,6 +19,8 @@ pub const Mutation = enum {
             .argmax_no_flag => "control: metal lfm2 argmax, a nonfinite logit is not flagged",
             .conv_first_state => "control: metal lfm2 stream conv, every stream reads the first stream's state",
             .attention_first_cache => "control: metal lfm2 stream attention, every stream writes the first stream's cache",
+            .tap_packed_rows => "control: metal lfm2 tap copy, rows packed at the hidden size, not the taps' row",
+            .tap_clobbers_column => "control: metal lfm2 tap copy, a column of another tap is overwritten",
         };
     }
 
@@ -38,6 +42,8 @@ pub const Mutation = enum {
             .argmax_no_flag => .{ .from = "if (!isfinite(f)) bad = 1;", .to = "if (false) bad = 1;" },
             .conv_first_state => .{ .from = "lfm2_conv_row(bcx + size_t(s.base) * 3 * D, s.conv,", .to = "lfm2_conv_row(bcx + size_t(s.base) * 3 * D, segs[0].conv," },
             .attention_first_cache => .{ .from = "queries + b * QH * HD, s.keys, s.values,", .to = "queries + b * QH * HD, segs[0].keys, segs[0].values," },
+            .tap_packed_rows => .{ .from = "(taps + size_t(i.y) * at.x + at.y))[i.x]", .to = "(taps + size_t(i.y) * D + at.y))[i.x]" },
+            .tap_clobbers_column => .{ .from = "[i.x] = from[i.x];\n}\n", .to = "[i.x] = from[i.x];\n  *(device bfloat*)(taps + size_t(i.y) * at.x) = 0;\n}\n" },
         };
     }
 };
diff --git a/zig/tests/contract/metal_lfm2_tap.zig b/zig/tests/contract/metal_lfm2_tap.zig
index 871ea8a8a2..021baffc9e 100644
--- a/zig/tests/contract/metal_lfm2_tap.zig
+++ b/zig/tests/contract/metal_lfm2_tap.zig
@@ -6,6 +6,7 @@ const sources = @import("kernel_sources");
 const c = contract.spec;
 const g = contract.gates;
 const rig_ = @import("rig.zig");
+const controls = @import("metal_lfm2_controls.zig");
 
 const hidden = 2048;
 const taps = 5;
@@ -41,14 +42,17 @@ pub const Probe = struct {
     a: std.mem.Allocator,
     rig: rig_.Rig,
     pipe: mtl.Pipeline,
+    mutation: controls.Mutation,
     rows: usize = 0,
     src: []u16 = &.{}, // H rows
     prior: []u16 = &.{}, // the taps rows as the call finds them (the other taps' columns must stay)
     args: [2]rig_.Ref = undefined,
     y: rig_.Ref = undefined,
 
-    pub fn init(a: std.mem.Allocator, device: mtl.Device, queue: mtl.Queue) !Probe {
-        return .{ .a = a, .rig = .{ .a = a, .device = device, .queue = queue }, .pipe = try rig_.pipeline(device, sources.lfm2, "lfm2_tap") };
+    pub fn init(a: std.mem.Allocator, device: mtl.Device, queue: mtl.Queue, mutation: controls.Mutation) !Probe {
+        const text = try controls.source(a, mutation);
+        defer if (mutation != .none) a.free(text);
+        return .{ .a = a, .rig = .{ .a = a, .device = device, .queue = queue }, .pipe = try rig_.pipeline(device, text, "lfm2_tap"), .mutation = mutation };
     }
 
     fn drop(p: *Probe) void {
@@ -67,7 +71,9 @@ pub const Probe = struct {
 
     const vt = g.hooks(Probe);
     pub fn kernel(p: *Probe) g.Kernel {
-        return .{ .ctx = p, .vt = &vt, .spec = spec() };
+        var s = spec();
+        if (p.mutation != .none) s.name = p.mutation.name();
+        return .{ .ctx = p, .vt = &vt, .spec = s, .control = p.mutation.gate() };
     }
 
     fn fill(out: []u16, seed: u64, f: g.Fill) void {
@@ -129,15 +135,3 @@ pub const Probe = struct {
         return null;
     }
 };
-
-/// Gate 5 for the tap's launch of 256 threads and no threadgroup memory: every Apple chip we serve, then this GPU.
-pub fn limits(a: std.mem.Allocator, device: mtl.Device, only: ?[]const u8) !usize {
-    if (only) |s| if (std.mem.indexOf(u8, name, s) == null) return 0;
-    const d = contract.limits.MetalLaunch{ .name = name, .threads = 256, .tg_memory = 0, .offline = false };
-    var notes: std.ArrayList(u8) = .empty;
-    defer notes.deinit(a);
-    var problems: usize = 0;
-    for (contract.limits.apple) |chip| problems += try contract.limits.metal(d, chip, &notes, a);
-    std.debug.print("{s}", .{notes.items});
-    return problems + try @import("metal_limits.zig").onThisGpu(a, device, .{ .decl = d, .function = "lfm2_tap", .here = sources.lfm2, .pre_m5 = "" }, false);
-}

From 8e9b548fd406115d1920fbc79a4cdd4c81a747a1 Mon Sep 17 00:00:00 2001
From: BlivionIaG <15323295+BlivionIaG@users.noreply.github.com>
Date: Thu, 29 Oct 2026 23:40:01 +0100
Subject: [PATCH 7/7] lfm2: restore DSpark on main with BF16 defaults and
 review safety fixes

---
 README.md                                     |   4 +-
 docs/kernel-contract.md                       |   6 +-
 docs/recipes/README.md                        |   2 +-
 docs/recipes/lfm2.5-24b-a2b.md                |  42 ++
 zig/build/metal_targets.zig                   |   3 +-
 zig/kernels/metal/lfm2/lfm2.metal             |  18 +-
 zig/kernels/metal/lfm2/lfm2_dspark.metal      | 230 +++++++++
 zig/kernels/metal/sources.zig                 |   2 +-
 zig/src/core/contract/lfm2_records.zig        |   9 +
 zig/src/core/engine_api.zig                   |   4 +-
 zig/src/families/lfm2_moe/backend.zig         |  34 +-
 zig/src/families/lfm2_moe/dspark.zig          | 483 ++++++++++++++++++
 .../families/lfm2_moe/dspark_bf16_test.zig    | 121 +++++
 zig/src/families/lfm2_moe/dspark_block.zig    | 333 ++++++++++++
 zig/src/families/lfm2_moe/dspark_config.zig   | 142 +++++
 zig/src/families/lfm2_moe/dspark_quant.zig    | 118 +++++
 zig/src/families/lfm2_moe/dspark_test.zig     | 201 +++++++-
 zig/src/families/lfm2_moe/dspark_weights.zig  | 155 ++++++
 zig/src/families/lfm2_moe/forward.zig         |  21 +
 zig/src/families/lfm2_moe/kernels.zig         |   8 +
 zig/src/families/lfm2_moe/lfm2_moe.zig        |   4 +
 zig/src/families/lfm2_moe/state.zig           |   2 +
 zig/src/native/cuda_options.zig               |   4 +
 zig/src/native/lfm2_moe.zig                   |  94 +++-
 zig/src/native/metal.zig                      |   4 +-
 zig/src/server/cli.zig                        |   8 +-
 zig/src/server/cli_test.zig                   |   6 +-
 zig/src/server/main.zig                       |   2 +-
 zig/src/tensorfold.zig                        |   3 +
 zig/tests/contract/metal_lfm2_attn.zig        | 172 +++++++
 zig/tests/contract/metal_lfm2_bf16.zig        | 133 +++++
 zig/tests/contract/metal_lfm2_controls.zig    |  32 +-
 zig/tests/contract/metal_lfm2_dspark.zig      | 264 ++++++++++
 zig/tests/contract/metal_main.zig             |  66 +++
 zig/tests/lfm2_dspark.zig                     | 303 +++++++++++
 35 files changed, 2981 insertions(+), 52 deletions(-)
 create mode 100644 zig/kernels/metal/lfm2/lfm2_dspark.metal
 create mode 100644 zig/src/families/lfm2_moe/dspark.zig
 create mode 100644 zig/src/families/lfm2_moe/dspark_bf16_test.zig
 create mode 100644 zig/src/families/lfm2_moe/dspark_block.zig
 create mode 100644 zig/src/families/lfm2_moe/dspark_config.zig
 create mode 100644 zig/src/families/lfm2_moe/dspark_quant.zig
 create mode 100644 zig/src/families/lfm2_moe/dspark_weights.zig
 create mode 100644 zig/tests/contract/metal_lfm2_attn.zig
 create mode 100644 zig/tests/contract/metal_lfm2_bf16.zig
 create mode 100644 zig/tests/contract/metal_lfm2_dspark.zig
 create mode 100644 zig/tests/lfm2_dspark.zig

diff --git a/README.md b/README.md
index 8925e38b8c..d165e67662 100644
--- a/README.md
+++ b/README.md
@@ -173,7 +173,7 @@ Conversions are explicitly marked: their upstream weights need the linked conver
 | GLM-5.3-Flash, FP4-Local | `tensorfold pull nvidia/GLM-5.3-Flash-FP4-Local@76348ddb2be2e35e39ecfc00e75dc07703f4f3d5` | Two GB10s at TP=2, or three at TP=3 over a ring of direct links: @Bizuayeu loaded it as stored and served it at both sizes. 165.3 GiB of weights, 13% less than NVFP4's 190.4 GiB. | [Native CUDA](docs/recipes/glm-5.3-flash-cuda.md), in 1.1.5 (#1050). NVIDIA's mixed-precision checkpoint: NVFP4 routed experts with compressed block scales, MXFP8 and 128×128-block FP8 for most of the rest. As close to BF16 as NVFP4 at its smaller size: at TP=2 its NLL is 1.11% above BF16's against NVFP4's 1.37% ([contributed receipt](docs/receipts/glm-fp4local-80517fc3/README.md) on #1050's head, not rerun on main), a difference the per-document intervals in [XSFP4's card](https://huggingface.co/Bizuayeu/GLM-5.3-Flash-XSFP4#measured) do not resolve. |
 | GLM-5.3-Flash, XSFP4 | `tensorfold pull Bizuayeu/GLM-5.3-Flash-XSFP4@88736f916f8939607fde8a4b881dcae749f7551d` | Two GB10s at TP=2, or three at TP=3 over a ring of direct links: on main `8086c205c` @Bizuayeu loaded it in 370.7 s at TP=2 (rank 0's model 96.97 GiB at a 524,288-token window) and in 313.8 s at TP=3 (63.60 GiB at 1,048,576), and both served. 165.7 GiB of weights, 0.4 GiB more than FP4-Local's. | [Native CUDA](docs/recipes/glm-5.3-flash-cuda.md), in 1.1.5 through FP4-Local's path. FP4-Local with its routed experts' NVFP4 blocks fitted again from the BF16 weights, a smoothing folded into them, so it runs on the same kernels. Closer to BF16 than FP4-Local and NVFP4 at TP=2 by all three measures in [its card](https://huggingface.co/Bizuayeu/GLM-5.3-Flash-XSFP4#measured), on #1050's code: top-1 agreement 93.26%, NLL 0.85% above and a KL bound of 0.0431, against FP4-Local's 92.82%, 1.11% and 0.0510. |
 | GLM-5.3, EXLR8 `home` | `tensorfold pull kindlingai/glm-5.3-exlr8-k2-k3-k4@f459f5d0272a529403dd9b3fd32f771f4250a0d4 --exlr8 home --node 0/2 --dir ~/models/glm-5.3-exlr8-home` | Two M5 Ultra Macs, 256 GB each; about 160 GB resident per Mac at 8k context / four streams. | [Two-Mac recipe](docs/glm-5.3-exlr8.md). Use `--node 1/2` on the other Mac; Thunderbolt 5 and MCDMA required. No CUDA backend. |
-| LFM2.5-24B-A2B, MLX 4 / 6 / 8-bit | `tensorfold pull LiquidAI/LFM2.5-24B-A2B-MLX-4bit@667408d494bde191c2cb9dd4f4549827816b9275`<br>`tensorfold pull LiquidAI/LFM2.5-24B-A2B-MLX-6bit@1deec53eb49571e21cdcbf82fd5839248f07ed88`<br>`tensorfold pull LiquidAI/LFM2.5-24B-A2B-MLX-8bit@67ab417dd02d0c9545802a726df668620eae049d` | One Mac; M4 Pro checked. | [Native recipe](docs/recipes/lfm2.5-24b-a2b.md), [release history](CHANGELOG.md). |
+| LFM2.5-24B-A2B, MLX 4 / 6 / 8-bit | `tensorfold pull LiquidAI/LFM2.5-24B-A2B-MLX-4bit@667408d494bde191c2cb9dd4f4549827816b9275`<br>`tensorfold pull LiquidAI/LFM2.5-24B-A2B-MLX-6bit@1deec53eb49571e21cdcbf82fd5839248f07ed88`<br>`tensorfold pull LiquidAI/LFM2.5-24B-A2B-MLX-8bit@67ab417dd02d0c9545802a726df668620eae049d` | One Mac; M4 Pro checked. | [Native recipe](docs/recipes/lfm2.5-24b-a2b.md), [release history](CHANGELOG.md). LiquidAI's DSpark drafter with `--drafter`. |
 | Qwen3.6-35B-A3B, MLX with MTP | `tensorfold pull TensorFold/Qwen3.6-35B-A3B-MLX-4bit-MTP@81169a9bc511a27c1b4eedb77a2cd98ced431847` | One GB10; 20.9 GB checkpoint. | [Qwen3.6](docs/recipes/qwen3.6-moe.md). Native CUDA; the recipe's Metal path belongs to Python. |
 | Gemma 4 31B, MLX 4-bit | `tensorfold pull mlx-community/gemma-4-31B-it-4bit@696d436c404745a59f30e4939a658162b0a9e57f`<br>`tensorfold pull z-lab/gemma-4-31B-it-DFlash@eabd648301ce28583cc14757912e5e0f84e152e1` | One M5 Mac; M5 Ultra checked. M1-M4 refused. | [Native 31B](docs/recipes/gemma-4-native.md). Name the drafter with `--drafter`; images with `--vision`. |
 | Gemma 4 12B, converted MLX 4-bit | `hf download google/gemma-4-12B-it --revision 707f0a3b8a3c7ad586ed01e27eafbad8a27dd0f7 --local-dir ~/models/gemma-4-12b-hf`<br>`hf download google/gemma-4-12B-it-assistant --revision 46d4c6f13f0ac0ad827b915669b8df9b81c64c51 --local-dir ~/models/gemma-4-12b-assistant` | One M5 Mac; converted text weights 6.3 GB, image weights 100 MB, plus assistant/caches. M1-M4 refused. | [Convert and serve](docs/recipes/gemma-4-12b-native.md). Upstream download needs `hf`; conversion needs Python, mlx and mlx-lm. Serving is native. |
@@ -290,7 +290,7 @@ The binary's `capabilities --json` response lists its supported flags and platfo
 | `--loop-guard-stop` | As `--loop-guard`, but end the reply where the guard fires: the reasoning so far, no answer or tool calls, `finish_reason` `content_filter` and a `reasoning_loop` error ([API](docs/api.md)). |
 | `--no-drafts` | Produce the plain reference through the same engine. |
 | `--drafter DRAFTER` | An external drafter, as a directory or a repo id in the Hugging Face cache, for models that take one: Qwen3.8-27B uses DFlash2 and Gemma 4 31B the drafter named in its recipe. Without one they decode plain. |
-| `--drafter-bits 0\|4` | Drafter weight precision where the model offers a choice: 4 bits (the default), or 0 to keep bf16. Qwen3.8-27B on CUDA takes 4 only. |
+| `--drafter-bits 0\|4\|8` | Drafter weight precision where the model offers a choice: 4 bits (the default), or 0 to keep bf16. Qwen3.8-27B on CUDA takes 4 only. LFM2.5-24B-A2B's DSpark drafter runs bf16 as released (0, the default when not given) or 8-bit codes quantized at load (8); it has no 4-bit mode. |
 | `--record DIR` | Write each stream's committed tokens, positions and tapped rows under DIR, for drafter training. CUDA Nemotron only; a single stream runs through the lane rounds, and recording stops below 25 GiB free disk. |
 | `--keep-warm SECONDS` | Keep the Metal GPU active while idle for this long after a request, default 900; zero disables it. |
 | `--cfg-gamma GAMMA` | Metal Drama speech: semantic guidance strength, finite 1–5; 0/default disables it. Only reference-conditioned requests are guided. Enabled replies report `X-Cfg-Gamma`; codec heads stay conditional. |
diff --git a/docs/kernel-contract.md b/docs/kernel-contract.md
index 1ed43ac146..9322817fef 100644
--- a/docs/kernel-contract.md
+++ b/docs/kernel-contract.md
@@ -135,8 +135,10 @@ tile_qmm's pipelines and GLM-5.3-Flash's hc_expand_10.
 LFM2.5-24B-A2B's shared rounds: the greedy pick (`lfm2_argmax`) and the conv and attention kernels that run every
 stream's rows in one dispatch, each bit-equal to the per-stream kernels it replaces. Four controls edit the source: a tie
 to the highest id, a nonfinite logit not flagged, and every stream reading or writing the first stream's state or cache.
-Their launches are in `lfm2_records.zig` with the M1 and M2 limits from `--offline`; `lfm2_attn_segs` reserves its 128
-threads in its source, as Metal cannot build it for M1 or M2 at another count.
+The DSpark drafter's tap copy, Markov scan and pick, draft ids, block attention are there too, with six more controls.
+Its bf16 linears (few rows, 64x64 tiles) and the Markov scan over a bf16 W2 have four and two more.
+Their launches are in `lfm2_records.zig` with the M1 and M2 limits from `--offline`; `lfm2_attn_segs` and
+`lfm2_attn_block` reserve their 128 threads in their source, as Metal cannot build them for M1 or M2 at another count.
 Metal also checks Nemotron's routed experts on the engine's route tables, one row to 128: `tf_xup_w3` and `tf_xdown_w3`
 against float64 at tf_load16's bf16 x sums (up's relu2 as an interval over its two bf16 roundings), and the rows2, rows4
 and six geometry pipelines of each projection bit-equal to them (two controls: member rows read from one row, and
diff --git a/docs/recipes/README.md b/docs/recipes/README.md
index 8017124388..0cfdf94f1b 100644
--- a/docs/recipes/README.md
+++ b/docs/recipes/README.md
@@ -22,7 +22,7 @@ For agent-assisted contributions, read the [TensorFold contributor skill](SKILL.
 | Qwen3.6-35B-A3B | [MLX with MTP drafts, one-GPU CUDA](qwen3.6-moe.md) |
 | Step-5-Preview | [Native Metal on one 256 GB Mac: 2-bit experts, MTP drafts, images](step-5-preview.md) |
 | Kolibri-1 | [Native CUDA, block FP8, research checkpoint](kolibri-1.md) |
-| LFM2.5-24B-A2B | [Native Metal, MLX 4-bit, shared rounds](lfm2.5-24b-a2b.md) |
+| LFM2.5-24B-A2B | [Native Metal, MLX 4-bit, shared rounds, DSpark drafts](lfm2.5-24b-a2b.md) |
 | Spark-X2.6-4B | [Native CUDA](spark-x2.6-4b-cuda.md), [native Metal, the bf16 release, contexts to 1M](spark-x2.6-4b-metal.md) |
 
 ## Capability floor
diff --git a/docs/recipes/lfm2.5-24b-a2b.md b/docs/recipes/lfm2.5-24b-a2b.md
index 7b8b2cdf4b..9ee3601bcd 100644
--- a/docs/recipes/lfm2.5-24b-a2b.md
+++ b/docs/recipes/lfm2.5-24b-a2b.md
@@ -41,3 +41,45 @@ the shared-round kernels on it. The M4 Pro is not yet measured on a quiet machin
 
 Every reply was token for token equal before and after, and equal to its solo run and to `"draft": false`.
 Cold prefill at 2k, 8k and 32k tokens and peak memory did not change.
+
+## DSpark drafts
+
+LiquidAI's DSpark drafter for this model is
+[`LiquidAI/LFM2.5-24B-A2B-DSpark`](https://huggingface.co/LiquidAI/LFM2.5-24B-A2B-DSpark/tree/e052e5b1dd103c38cdd4f8ddc068d7dea4586f55)
+at revision `e052e5b1dd103c38cdd4f8ddc068d7dea4586f55` (327.7M bf16 parameters, 655 MB). Its weights are under the
+[LFM Open License v1.0](https://huggingface.co/LiquidAI/LFM2.5-24B-A2B-DSpark/blob/e052e5b1dd103c38cdd4f8ddc068d7dea4586f55/LICENSE);
+TensorFold does not ship them, so read the license before use.
+
+```bash
+hf download LiquidAI/LFM2.5-24B-A2B-DSpark --revision e052e5b1dd103c38cdd4f8ddc068d7dea4586f55 \
+  config.json model.safetensors LICENSE README.md --local-dir "$HOME/models/LFM2.5-24B-A2B-DSpark"
+zig-out/native/bin/tensorfold-native serve "$MODEL_DIR" --port 8080 --parallel 16 \
+  --drafter "$HOME/models/LFM2.5-24B-A2B-DSpark"
+```
+
+Without `--drafter` the engine serves as before. `"draft": false` on a request, or `--no-drafts`, turns the drafter
+off; the lane core verifies every draft, so a drafted reply equals its `"draft": false` reply token for token.
+
+The drafter has no embedding and no head of its own:
+
+- Context: the target's rows after layers 2, 10, 18, 26 and 34 (the backend's taps, `lfm2_tap`), through `fc` and
+  `hidden_norm`, give each of its five layers' context keys and values (k_norm, then RoPE at the row's position).
+- Block: the pending token and mask tokens run five Qwen3 layers with non-causal attention over the context and the
+  block, then the target's head. A block is as long as the deepest chain its pass holds, at most the nine rows the
+  drafter was trained on.
+- Markov head: row i's logits plus `W2 W1[previous token]` (rank 256); draft i is their argmax.
+
+The drafter runs the released bf16 matrices as they are (`--drafter-bits 0`, the default). `--drafter-bits 8` instead
+quantizes them at load to 8-bit MLX affine codes in groups of 64, about 5% faster on one stream and 361 MiB of weights
+against 625 MiB; the server logs which mode runs, and 4 bits is refused. Both run on the family's kernels
+(bf16 on `lfm2_bf16_rows`, `lfm2_bf16_mma` and `lfm2_markov_scan_bf16`, 8-bit on `core/tile_qmm`); the q and k rows are reordered so that the target's half-split RoPE kernel gives the
+checkpoint's interleaved RoPE. Its own kernels are `lfm2_tap`, `lfm2_attn_block` and `lfm2_attn_block_merge`
+(non-causal block attention, the target's attention kernels with a template flag), `lfm2_markov_scan` and
+`lfm2_markov_pick` (a Markov step) and `lfm2_draft_ids` (a hold's drafts into the next verify's rows on the GPU, so
+the host does not wait for a hold that fits one pass). Each kept prompt state keeps the drafter's context too, so a
+drafting stream resumes prompts. Hold lengths follow the lane core's per-round depth pricing; no stream-count guard disables drafting.
+
+`tf-kernel-contract --only lfm2` checks these kernels. `tf-lfm2-dspark MODEL DRAFTER TOKENS [ROWS]` runs the drafter
+against an fp32 host reference of the released checkpoint (the same taps and the target's embedding and head),
+prints each draft against the reference's pick with the margin between the reference's two best tokens, and times
+the drafter's passes; a near tie can pick the other token.
diff --git a/zig/build/metal_targets.zig b/zig/build/metal_targets.zig
index efa248606d..df5a809e3f 100644
--- a/zig/build/metal_targets.zig
+++ b/zig/build/metal_targets.zig
@@ -294,6 +294,7 @@ pub fn metalTargets(b: *std.Build, target: std.Build.ResolvedTarget, optimize: s
         .{ .name = "tf-lfm2-forward", .path = "zig/tests/lfm2_forward.zig", .about = "LFM2-MoE native teacher-forced logits" },
         .{ .name = "tf-lfm2-bench", .path = "zig/tests/lfm2_bench.zig", .about = "LFM2-MoE prompt-chunk and one-row decode timing" },
         .{ .name = "tf-lfm2-exact", .path = "zig/tests/lfm2_exact.zig", .about = "LFM2-MoE prompt chunks, windows and committed-state exactness" },
+        .{ .name = "tf-lfm2-dspark", .path = "zig/tests/lfm2_dspark.zig", .about = "LFM2's DSpark drafter on the GPU against an fp32 host reference of the released drafter" },
         .{ .name = "tf-lfm2-fp64", .path = "zig/tests/lfm2_fp64.zig", .about = "LFM2 projection classes and attention on the tensor units, the tiles and the twin, each against float64" },
         .{ .name = "tensorfold", .path = "zig/src/main.zig", .about = "The native engine's command line" },
         .{ .name = "tf-nemotron-fixtures", .path = "zig/tests/nemotron_fixtures.zig", .about = "Nemotron kernels against the Python engine's captured ops" },
@@ -463,7 +464,7 @@ pub fn metalTargets(b: *std.Build, target: std.Build.ResolvedTarget, optimize: s
     const lfm2_tests = b.addRunArtifact(b.addTest(.{ .root_module = engine, .filters = &.{"lfm2_moe"} }));
     b.step("test-lfm2", "The LFM2-MoE family's tests: config, draws, state and its shared rounds on this Mac's GPU").dependOn(&lfm2_tests.step);
     const lfm2_dspark = b.addRunArtifact(b.addTest(.{ .root_module = engine, .filters = &.{"lfm2 dspark:"} }));
-    b.step("test-lfm2-dspark", "LFM2's taps for a drafter: the tap kernel on this Mac's GPU").dependOn(&lfm2_dspark.step);
+    b.step("test-lfm2-dspark", "LFM2's DSpark drafter and its taps: config, quantizer and kernels on this Mac's GPU").dependOn(&lfm2_dspark.step);
     test_step.dependOn(&b.addRunArtifact(b.addTest(.{ .root_module = lanes })).step);
     // the fake fabric maps its windows with mmap: the Macs' RDMA, not Windows
     if (target.result.os.tag != .windows) test_step.dependOn(&b.addRunArtifact(b.addTest(.{ .root_module = fabric })).step);
diff --git a/zig/kernels/metal/lfm2/lfm2.metal b/zig/kernels/metal/lfm2/lfm2.metal
index b2772cf64e..2da8578970 100644
--- a/zig/kernels/metal/lfm2/lfm2.metal
+++ b/zig/kernels/metal/lfm2/lfm2.metal
@@ -232,7 +232,7 @@ inline void lfm2_stage(const thread uint4* pre, threadgroup uint* ks, threadgrou
 }
 
 // Every row's attention partials (one kernel for prompt and decode): a threadgroup a (chunk, kv head, 8 * RB rows).
-template <int RB>  // a simdgroup's RB row blocks share each staged K and V fragment, each block's arithmetic its own
+template <int RB, bool FULL = false>  // RB row blocks share each staged K and V fragment; FULL: all see [0, len + 1)
 inline void lfm2_attn_rows(const device bfloat* queries, const device bfloat* keys, const device bfloat* values,
                            lfm2_attn_args p, device float* pm, device float* pl, device float* po, uint rows, uint3 tg,
                            uint tid, uint sg, uint lane, threadgroup uint (*ks)[HD * (KT / 2)],
@@ -242,8 +242,8 @@ inline void lfm2_attn_rows(const device bfloat* queries, const device bfloat* ke
   const uint kh = tg.y, r0 = tg.x * 8 * RB, head = kh * (QH / KVH) + sg;
   const uint qid = lane / 4, fm = (qid & 4) + ((lane / 2) % 4), fn = (qid & 2) * 2 + (lane % 2) * 2;
   uint count[RB];  // this lane's rows' visible keys
-  for (int b = 0; b < RB; ++b) count[b] = p.len + min(r0 + 8 * b + fm, rows - 1) + 1;
-  const uint top = p.len + min(r0 + 8 * RB - 1, rows - 1) + 1;  // the tile's most
+  for (int b = 0; b < RB; ++b) count[b] = FULL ? p.len + 1 : p.len + min(r0 + 8 * b + fm, rows - 1) + 1;
+  const uint top = FULL ? p.len + 1 : p.len + min(r0 + 8 * RB - 1, rows - 1) + 1;  // the tile's most
   if (chunk * PER + sub0 * SUB >= top) return;
   vec<bfloat, 2> q[RB][8];
   for (int b = 0; b < RB; ++b)
@@ -340,7 +340,7 @@ inline void lfm2_attn_rows(const device bfloat* queries, const device bfloat* ke
     for (int d = 0; d < 8; ++d) *(device float2*)(po + at * HD + 8 * d + fn) = O[b][d];
   }
 }
-template <int RB>
+template <int RB, bool FULL = false>
 [[kernel]] void lfm2_attn_mma(const device bfloat* queries [[buffer(0)]], const device bfloat* keys [[buffer(1)]],
                               const device bfloat* values [[buffer(2)]], constant lfm2_attn_args& p [[buffer(3)]],
                               device float* pm [[buffer(4)]], device float* pl [[buffer(5)]], device float* po [[buffer(6)]],
@@ -349,15 +349,16 @@ template <int RB>
                               uint lane [[thread_index_in_simdgroup]]) {
   threadgroup uint ks[2][HD * (KT / 2)];
   threadgroup bfloat vs[2][KB * KP];
-  lfm2_attn_rows<RB>(queries, keys, values, p, pm, pl, po, rows, tg, tid, sg, lane, ks, vs);
+  lfm2_attn_rows<RB, FULL>(queries, keys, values, p, pm, pl, po, rows, tg, tid, sg, lane, ks, vs);
 }
 template [[host_name("lfm2_attn_mma")]] [[kernel]] decltype(lfm2_attn_mma<1>) lfm2_attn_mma<1>;
 template [[host_name("lfm2_attn_mma_r2")]] [[kernel]] decltype(lfm2_attn_mma<2>) lfm2_attn_mma<2>;
 
 // The chunks merged in chunk order for (head, row): Y [rows, QH*HD] bf16.
+template <bool FULL = false>
 inline void lfm2_merge_row(const device float* pm, const device float* pl, const device float* po, lfm2_attn_args p,
                            device bfloat* y, uint head, uint r, uint lane) {
-  const uint count = p.len + r + 1;
+  const uint count = FULL ? p.len + 1 : p.len + r + 1;
   const uint per = PER;
   const uint chunks = (count + per - 1) / per;
   const size_t at = (size_t(r) * QH + head) * (CHUNKS * p.subs);
@@ -391,12 +392,15 @@ inline void lfm2_merge_row(const device float* pm, const device float* pl, const
   out[lane] = static_cast<bfloat>(o0 / l);
   out[lane + 32] = static_cast<bfloat>(o1 / l);
 }
+template <bool FULL = false>
 [[kernel]] void lfm2_attn_merge(const device float* pm [[buffer(0)]], const device float* pl [[buffer(1)]],
                                 const device float* po [[buffer(2)]], constant lfm2_attn_args& p [[buffer(3)]],
                                 device bfloat* y [[buffer(4)]], uint2 tg [[threadgroup_position_in_grid]],
                                 uint lane [[thread_index_in_simdgroup]]) {
-  lfm2_merge_row(pm, pl, po, p, y, tg.x, tg.y, lane);
+  lfm2_merge_row<FULL>(pm, pl, po, p, y, tg.x, tg.y, lane);
 }
+template [[host_name("lfm2_attn_merge")]] [[kernel]] decltype(lfm2_attn_merge<false>) lfm2_attn_merge<false>;
+template [[host_name("lfm2_attn_block_merge")]] [[kernel]] decltype(lfm2_attn_merge<true>) lfm2_attn_merge<true>;
 
 // Router logits [rows, E] in fp32: a simdgroup an expert, lane l over inputs 4l..4l+3 of each 128, then simd_sum.
 [[kernel]] void lfm2_route_logits(const device bfloat* x [[buffer(0)]], const device float* router [[buffer(1)]],
diff --git a/zig/kernels/metal/lfm2/lfm2_dspark.metal b/zig/kernels/metal/lfm2/lfm2_dspark.metal
new file mode 100644
index 0000000000..c1b63ddee2
--- /dev/null
+++ b/zig/kernels/metal/lfm2/lfm2_dspark.metal
@@ -0,0 +1,230 @@
+// DSpark's Markov step, compiled after lfm2.metal's text (its includes and constants).
+
+// DSpark's Markov scan, W2 as 8-bit codes (BF16 false) or bf16 as released (true): a threadgroup's best of 512 tokens.
+struct lfm2_markov_args { uint stride, rank, vocab, prev_stride; };
+constant constexpr uint MARKOV_SPAN = 512;
+
+// Eight bf16 in a uint4 as floats (a bf16 is the high half of its float).
+inline void lfm2_unpack8(uint4 v, thread float* f) {
+  for (int j = 0; j < 4; ++j) {
+    f[2 * j] = as_type<float>(v[j] << 16);
+    f[2 * j + 1] = as_type<float>(v[j] & 0xffff0000u);
+  }
+}
+template <bool BF16>
+inline void lfm2_markov_scan_t(const device bfloat* logits, const device bfloat* w1, const device uint8_t* w2,
+                               const device uint* prev, constant lfm2_markov_args& p, device float* best,
+                               device uint* at, const device bfloat* w2s, const device bfloat* w2b, uint2 tg,
+                               uint2 grid, uint sg, uint lane, threadgroup float* e, threadgroup float* sv,
+                               threadgroup uint* si) {
+  const uint s = tg.y, t = sg * 32 + lane, id = prev[size_t(s) * p.prev_stride];
+  for (uint i = t; i < p.rank; i += 256) e[i] = id < p.vocab ? float(w1[size_t(id) * p.rank + i]) : 0.0f;
+  threadgroup_barrier(mem_flags::mem_threadgroup);
+  const device bfloat* row = logits + size_t(s) * p.stride;
+  float mv = -INFINITY;
+  uint mi = 0xffffffffu;
+  bool nan = false;
+  const uint first = tg.x * MARKOV_SPAN, last = min(first + MARKOV_SPAN, p.vocab);
+  for (uint v = first + sg; v < last; v += 8) {
+    float d = 0.0f;
+    for (uint i = 8 * lane; i < p.rank; i += 256) {
+      if (BF16) {
+        float f[8];
+        lfm2_unpack8(*(const device uint4*)((const device bfloat*)w2 + size_t(v) * p.rank + i), f);
+        for (int j = 0; j < 8; ++j) d = fma(f[j], e[i + j], d);
+        continue;
+      }
+      const size_t g = (size_t(v) * p.rank + i) / 64;
+      const float sc = w2s[g], bi = w2b[g];
+      const uchar4 lo = *(const device uchar4*)(w2 + size_t(v) * p.rank + i);
+      const uchar4 hi = *(const device uchar4*)(w2 + size_t(v) * p.rank + i + 4);
+      for (int j = 0; j < 4; ++j) d = fma(fma(sc, float(lo[j]), bi), e[i + j], d);
+      for (int j = 0; j < 4; ++j) d = fma(fma(sc, float(hi[j]), bi), e[i + 4 + j], d);
+    }
+    d = simd_sum(d);
+    const float sc = float(static_cast<bfloat>(float(row[v]) + float(static_cast<bfloat>(d))));
+    nan = nan || isnan(sc);
+    if (sc > mv || (mi == 0xffffffffu && sc == mv)) {
+      mv = sc;
+      mi = v;
+    }
+  }
+  if (lane == 0) {
+    sv[sg] = nan ? NAN : mv;
+    si[sg] = mi;
+  }
+  threadgroup_barrier(mem_flags::mem_threadgroup);
+  if (t != 0) return;
+  float bv = sv[0];
+  uint bi = si[0];
+  for (uint g = 1; g < 8; ++g) {
+    if (isnan(bv) || isnan(sv[g])) bv = NAN;
+    else if (sv[g] > bv || (sv[g] == bv && si[g] < bi)) {
+      bv = sv[g];
+      bi = si[g];
+    }
+  }
+  best[size_t(s) * grid.x + tg.x] = bv;
+  at[size_t(s) * grid.x + tg.x] = bi;
+}
+
+[[kernel]] void lfm2_markov_scan(const device bfloat* logits [[buffer(0)]], const device bfloat* w1 [[buffer(1)]],
+                                 const device uint8_t* w2 [[buffer(2)]], const device uint* prev [[buffer(3)]],
+                                 constant lfm2_markov_args& p [[buffer(4)]], device float* best [[buffer(5)]],
+                                 device uint* at [[buffer(6)]], const device bfloat* w2s [[buffer(7)]],
+                                 const device bfloat* w2b [[buffer(8)]], uint2 tg [[threadgroup_position_in_grid]],
+                                 uint2 grid [[threadgroups_per_grid]], uint sg [[simdgroup_index_in_threadgroup]],
+                                 uint lane [[thread_index_in_simdgroup]]) {
+  threadgroup float e[256];
+  threadgroup float sv[8];
+  threadgroup uint si[8];
+  lfm2_markov_scan_t<false>(logits, w1, w2, prev, p, best, at, w2s, w2b, tg, grid, sg, lane, e, sv, si);
+}
+
+// The same scan over the released bf16 W2 [vocab, rank] (buffers 7 and 8 unused).
+[[kernel]] void lfm2_markov_scan_bf16(const device bfloat* logits [[buffer(0)]], const device bfloat* w1 [[buffer(1)]],
+                                      const device uint8_t* w2 [[buffer(2)]], const device uint* prev [[buffer(3)]],
+                                      constant lfm2_markov_args& p [[buffer(4)]], device float* best [[buffer(5)]],
+                                      device uint* at [[buffer(6)]], uint2 tg [[threadgroup_position_in_grid]],
+                                      uint2 grid [[threadgroups_per_grid]], uint sg [[simdgroup_index_in_threadgroup]],
+                                      uint lane [[thread_index_in_simdgroup]]) {
+  threadgroup float e[256];
+  threadgroup float sv[8];
+  threadgroup uint si[8];
+  lfm2_markov_scan_t<true>(logits, w1, w2, prev, p, best, at, w1, w1, tg, grid, sg, lane, e, sv, si);
+}
+
+// DSpark's Markov step pick: the scan's best over a stream's threadgroups (ties to the lowest token), as a Pick.
+[[kernel]] void lfm2_markov_pick(const device float* best [[buffer(0)]], const device uint* at [[buffer(1)]],
+                                 constant uint& groups [[buffer(2)]], device uint* picks [[buffer(3)]],
+                                 uint s [[threadgroup_position_in_grid]], uint t [[thread_index_in_threadgroup]]) {
+  threadgroup float tv[256];
+  threadgroup uint ti[256];
+  threadgroup uint tn[256];
+  float bv = -INFINITY;
+  uint bi = 0xffffffffu, nan = 0;
+  for (uint g = t; g < groups; g += 256) {
+    const float v = best[size_t(s) * groups + g];
+    const uint i = at[size_t(s) * groups + g];
+    if (isnan(v)) nan = 1;
+    else if (v > bv || (v == bv && i < bi)) {
+      bv = v;
+      bi = i;
+    }
+  }
+  tv[t] = bv;
+  ti[t] = bi;
+  tn[t] = nan;
+  threadgroup_barrier(mem_flags::mem_threadgroup);
+  for (uint w = 128; w > 0; w >>= 1) {
+    if (t < w) {
+      const float v = tv[t + w];
+      const uint i = ti[t + w];
+      if (v > tv[t] || (v == tv[t] && i < ti[t])) {
+        tv[t] = v;
+        ti[t] = i;
+      }
+      tn[t] |= tn[t + w];
+    }
+    threadgroup_barrier(mem_flags::mem_threadgroup);
+  }
+  if (t == 0) {
+    picks[2 * s] = ti[0];
+    picks[2 * s + 1] = tn[0];
+  }
+}
+
+// Held drafts from picks[i * stride] into ids[i]; a nonfinite or past-vocabulary pick is token 0 and sets bad.
+[[kernel]] void lfm2_draft_ids(const device uint* picks [[buffer(0)]], constant uint4& p [[buffer(1)]],
+                               device uint* ids [[buffer(2)]], device atomic_uint* bad [[buffer(3)]],
+                               uint i [[thread_position_in_grid]]) {
+  if (i >= p.y) return;
+  const uint token = picks[size_t(i) * p.x];
+  const bool ok = token < p.z && picks[size_t(i) * p.x + 1] == 0u;
+  ids[i] = ok ? token : 0u;
+  if (!ok) atomic_store_explicit(bad, 1u, memory_order_relaxed);
+}
+
+struct lfm2_bf16_args { uint rows, n, k; };
+constant constexpr uint BF16_ROWS = 16;
+
+// Few rows: a simdgroup a column of W over 16 rows, so W is read once a 16 rows. k a multiple of 8.
+[[kernel]] void lfm2_bf16_rows(const device bfloat* x [[buffer(0)]], const device bfloat* w [[buffer(1)]],
+                               constant lfm2_bf16_args& p [[buffer(2)]], device bfloat* y [[buffer(3)]],
+                               uint2 tg [[threadgroup_position_in_grid]], uint sg [[simdgroup_index_in_threadgroup]],
+                               uint lane [[thread_index_in_simdgroup]]) {
+  const uint col = tg.x * 8 + sg, r0 = tg.y * BF16_ROWS;
+  if (col >= p.n) return;
+  const uint rows = min(BF16_ROWS, p.rows - r0);
+  float acc[BF16_ROWS];
+  for (uint r = 0; r < BF16_ROWS; ++r) acc[r] = 0.0f;
+  const device bfloat* wr = w + size_t(col) * p.k;
+  const device bfloat* xr = x + size_t(r0) * p.k;
+  for (uint i = 8 * lane; i < p.k; i += 256) {
+    float wv[8];
+    lfm2_unpack8(*(const device uint4*)(wr + i), wv);
+    for (uint r = 0; r < BF16_ROWS; ++r) {
+      if (r >= rows) break;
+      float xv[8];
+      lfm2_unpack8(*(const device uint4*)(xr + size_t(r) * p.k + i), xv);
+      for (int j = 0; j < 8; ++j) acc[r] = fma(wv[j], xv[j], acc[r]);
+    }
+  }
+  for (uint r = 0; r < BF16_ROWS; ++r) {
+    const float sum = simd_sum(acc[r]);
+    if (lane == 0 && r < rows) y[size_t(r0 + r) * p.n + col] = static_cast<bfloat>(sum);
+  }
+}
+
+// Many rows: 64x64 tiles of y, four simdgroups of 32x32, k in steps of 32. k a multiple of 32.
+[[kernel]] void lfm2_bf16_mma(const device bfloat* x [[buffer(0)]], const device bfloat* w [[buffer(1)]],
+                              constant lfm2_bf16_args& p [[buffer(2)]], device bfloat* y [[buffer(3)]],
+                              uint2 tg [[threadgroup_position_in_grid]], uint sg [[simdgroup_index_in_threadgroup]],
+                              uint t [[thread_index_in_threadgroup]]) {
+  threadgroup bfloat xs[64 * 32];
+  threadgroup bfloat ws[64 * 32];
+  threadgroup float out[4][32 * 32];
+  const uint c0 = tg.x * 64, r0 = tg.y * 64;
+  simdgroup_matrix<float, 8, 8> acc[4][4];
+  for (uint i = 0; i < 4; ++i)
+    for (uint j = 0; j < 4; ++j) acc[i][j] = simdgroup_matrix<float, 8, 8>(0.0f);
+  const uint sr = (sg / 2) * 32, sc = (sg % 2) * 32;
+  for (uint k0 = 0; k0 < p.k; k0 += 32) {
+    for (uint i = t; i < 64 * 4; i += 128) { // 64 rows of 32 bf16 as 4 chunks of 8, 16 bytes a load
+      const uint r = i / 4, q = (i % 4) * 8;
+      const uint4 xv = r0 + r < p.rows ? *(const device uint4*)(x + size_t(r0 + r) * p.k + k0 + q) : uint4(0);
+      const uint4 wv = c0 + r < p.n ? *(const device uint4*)(w + size_t(c0 + r) * p.k + k0 + q) : uint4(0);
+      *(threadgroup uint4*)(xs + r * 32 + q) = xv;
+      *(threadgroup uint4*)(ws + r * 32 + q) = wv;
+    }
+    threadgroup_barrier(mem_flags::mem_threadgroup);
+    for (uint kk = 0; kk < 32; kk += 8) {
+      simdgroup_matrix<bfloat, 8, 8> a[4], b[4];
+      for (uint i = 0; i < 4; ++i) simdgroup_load(a[i], xs + (sr + 8 * i) * 32 + kk, 32);
+      for (uint j = 0; j < 4; ++j) simdgroup_load(b[j], ws + (sc + 8 * j) * 32 + kk, 32, ulong2(0, 0), true);
+      for (uint i = 0; i < 4; ++i)
+        for (uint j = 0; j < 4; ++j) simdgroup_multiply_accumulate(acc[i][j], a[i], b[j], acc[i][j]);
+    }
+    threadgroup_barrier(mem_flags::mem_threadgroup);
+  }
+  for (uint i = 0; i < 4; ++i)
+    for (uint j = 0; j < 4; ++j) simdgroup_store(acc[i][j], out[sg] + 8 * i * 32 + 8 * j, 32);
+  simdgroup_barrier(mem_flags::mem_threadgroup);
+  for (uint i = t % 32; i < 32 * 32; i += 32) {
+    const uint r = i / 32, c = i % 32;
+    const uint row = r0 + sr + r, col = c0 + sc + c;
+    if (row < p.rows && col < p.n) y[size_t(row) * p.n + col] = static_cast<bfloat>(out[sg][i]);
+  }
+}
+
+// A drafter block's attention: lfm2_attn_mma where every row sees all keys, its 128 threads reserved for M1 and M2.
+[[max_total_threads_per_threadgroup(128)]] [[kernel]] void lfm2_attn_block(
+    const device bfloat* queries [[buffer(0)]], const device bfloat* keys [[buffer(1)]],
+    const device bfloat* values [[buffer(2)]], constant lfm2_attn_args& p [[buffer(3)]], device float* pm [[buffer(4)]],
+    device float* pl [[buffer(5)]], device float* po [[buffer(6)]], constant uint& rows [[buffer(7)]],
+    uint3 tg [[threadgroup_position_in_grid]], uint tid [[thread_index_in_threadgroup]],
+    uint sg [[simdgroup_index_in_threadgroup]], uint lane [[thread_index_in_simdgroup]]) {
+  threadgroup uint ks[2][HD * (KT / 2)];
+  threadgroup bfloat vs[2][KB * KP];
+  lfm2_attn_rows<1, true>(queries, keys, values, p, pm, pl, po, rows, tg, tid, sg, lane, ks, vs);
+}
diff --git a/zig/kernels/metal/sources.zig b/zig/kernels/metal/sources.zig
index 2506fb4905..9f4604f678 100644
--- a/zig/kernels/metal/sources.zig
+++ b/zig/kernels/metal/sources.zig
@@ -19,7 +19,7 @@ pub const gemma4_prompt_attention = @embedFile("gemma4/prompt_attention.metal");
 pub const gemma4_vision = @embedFile("prefill/gemm_nax.metal") ++ @embedFile("gemma4/vision.metal");
 
 /// LFM2-MoE: embedding, norms, the short conv, attention, the route and the experts' glue.
-pub const lfm2 = @embedFile("lfm2/lfm2.metal") ++ @embedFile("lfm2/lfm2_segments.metal");
+pub const lfm2 = @embedFile("lfm2/lfm2.metal") ++ @embedFile("lfm2/lfm2_dspark.metal") ++ @embedFile("lfm2/lfm2_segments.metal");
 /// LFM2's prompt attention on the tensor units (nax.h inlined at load, after lfm2.metal's text).
 pub const lfm2_attn_nax = @embedFile("lfm2/lfm2_attn_nax.metal");
 
diff --git a/zig/src/core/contract/lfm2_records.zig b/zig/src/core/contract/lfm2_records.zig
index e3f7179595..4c827359aa 100644
--- a/zig/src/core/contract/lfm2_records.zig
+++ b/zig/src/core/contract/lfm2_records.zig
@@ -1,6 +1,7 @@
 //! LFM2-MoE's shared-round and greedy-pick launches (lfm2.metal, lfm2_segments.metal), as the encoders launch them.
 const std = @import("std");
 const M = @import("limits.zig").MetalLaunch;
+// The drafter kernels carry M1 and M2 limits too, recorded from the offline compile; no run covers those chips.
 pub const records = [_]M{
     .{ .name = "metal lfm2 argmax lfm2_argmax", .threads = 1024, .tg_memory = 384, .m1 = 1024, .m2 = 1024 },
     .{ .name = "metal lfm2 stream conv lfm2_conv_segs", .threads = 256, .tg_memory = 0, .m1 = 1024, .m2 = 1024 },
@@ -8,6 +9,14 @@ pub const records = [_]M{
     .{ .name = "metal lfm2 stream attention lfm2_attn_segs", .threads = 128, .tg_memory = 18688, .reserved = 128 },
     .{ .name = "metal lfm2 stream attention merge lfm2_attn_merge_segs", .threads = 32, .tg_memory = 0, .m1 = 1024, .m2 = 1024 },
     .{ .name = "metal lfm2 tap lfm2_tap", .threads = 256, .tg_memory = 0, .m1 = 1024, .m2 = 1024 },
+    .{ .name = "metal lfm2 markov scan lfm2_markov_scan", .threads = 256, .tg_memory = 1088, .m1 = 1024, .m2 = 1024 },
+    .{ .name = "metal lfm2 markov scan bf16 lfm2_markov_scan_bf16", .threads = 256, .tg_memory = 1088, .m1 = 1024, .m2 = 1024 },
+    .{ .name = "metal lfm2 bf16 rows lfm2_bf16_rows", .threads = 256, .tg_memory = 0, .m1 = 1024, .m2 = 1024 },
+    .{ .name = "metal lfm2 bf16 tile lfm2_bf16_mma", .threads = 128, .tg_memory = 24576, .m1 = 832, .m2 = 832 },
+    .{ .name = "metal lfm2 markov pick lfm2_markov_pick", .threads = 256, .tg_memory = 3072, .m1 = 1024, .m2 = 1024 },
+    .{ .name = "metal lfm2 draft ids lfm2_draft_ids", .threads = 32, .tg_memory = 0, .m1 = 1024, .m2 = 1024 },
+    .{ .name = "metal lfm2 block attention lfm2_attn_block", .threads = 128, .tg_memory = 18688, .reserved = 128 },
+    .{ .name = "metal lfm2 block attention merge lfm2_attn_block_merge", .threads = 32, .tg_memory = 0, .m1 = 1024, .m2 = 1024 },
 };
 
 test "the LFM2 launches fit every Apple family" {
diff --git a/zig/src/core/engine_api.zig b/zig/src/core/engine_api.zig
index 0f0905212f..38b1d9be0a 100644
--- a/zig/src/core/engine_api.zig
+++ b/zig/src/core/engine_api.zig
@@ -303,10 +303,12 @@ pub const Open = struct {
     /// --parallel named a number: an engine whose memory fits fewer streams refuses instead of serving fewer.
     lanes_fixed: bool = false,
     drafts: bool = true,
-    /// --drafter: a draft model's directory (Qwen3.8-27B's DFlash2; null: none), and --drafter-bits: 4, or 0 for bf16.
+    /// --drafter: a draft model's directory (null: none); --drafter-bits: 4, 0 for bf16, or 8 (LFM2 only).
     drafter: ?[]const u8 = null,
     drafter_name: ?[]const u8 = null, // the supplied --drafter name, before resolving its directory
     drafter_bits: u8 = 4,
+    /// Whether --drafter-bits was given: LFM2's drafter runs bf16 as released unless it is asked for 8-bit codes.
+    drafter_bits_given: bool = false,
     /// --record: each stream's committed rows and tapped features written under this folder, for drafter training.
     record: ?[]const u8 = null,
     speed_up: ?[]const u8 = null,
diff --git a/zig/src/families/lfm2_moe/backend.zig b/zig/src/families/lfm2_moe/backend.zig
index 44427d435a..8af90dc43b 100644
--- a/zig/src/families/lfm2_moe/backend.zig
+++ b/zig/src/families/lfm2_moe/backend.zig
@@ -10,6 +10,14 @@ const snapshot = @import("snapshot.zig");
 const Model = @import("model.zig").Model;
 const be = lanes.backend;
 
+/// Where a drafter holds a stream's drafts on the device, for verify windows that take them there (Window.held).
+pub const HeldSource = struct {
+    ptr: *anyopaque,
+    get: *const fn (ptr: *anyopaque, s: *lanes.Stream) ?Device,
+    host: *const fn (ptr: *anyopaque, s: *lanes.Stream, out: []u32) anyerror!void, // where `get` gives none
+};
+pub const Device = struct { src: mtl.Buffer, off: usize, stride: u32, wait: fwd.Wait };
+
 pub const Options = struct { capacity: usize, chunk: usize = 128, streams: u32 = 8 };
 
 pub const Metal = struct {
@@ -25,6 +33,8 @@ pub const Metal = struct {
     timed: usize = 0,
     /// Forwards run so far: a stream's tapped rows in the scratch are current while their gen matches.
     gen: u64 = 0,
+    /// A drafter whose drafts verify windows read on the device (null: windows carry host tokens only).
+    held_source: ?HeldSource = null,
 
     pub fn init(gpa: std.mem.Allocator, model: *Model, options: Options) !*Metal {
         const out = try gpa.create(Metal);
@@ -246,20 +256,34 @@ pub const Metal = struct {
         const self = cast(ptr);
         var segments: [st.batch_rows]fwd.Segment = undefined;
         var ids: [st.batch_rows]u32 = undefined;
+        var held: [st.batch_rows]fwd.Held = undefined;
+        var count: usize = 0;
+        var wait: ?fwd.Wait = null;
         var total: usize = 0;
         if (windows.len > segments.len or windows.len != out.len) return error.InvalidLfmWindows;
         for (windows, 0..) |w, i| {
             const rows = w.rows();
-            if (w.parents != null or w.held != 0 or rows > st.window_rows or total + rows > st.batch_rows or w.positions.len != rows) return error.UnsupportedLfmWindow;
+            if (w.held != 0) { // the drafter's picks, copied into the window's rows on the GPU
+                const source = self.held_source orelse return error.UnsupportedLfmWindow;
+                if (total + rows > st.batch_rows) return error.UnsupportedLfmWindow;
+                if (source.get(source.ptr, w.stream)) |dev| {
+                    held[count] = .{ .row = total + 1, .src = dev.src, .off = dev.off, .stride = dev.stride, .count = w.held };
+                    count += 1;
+                    wait = if (wait) |x| (if (x.value >= dev.wait.value) x else dev.wait) else dev.wait;
+                    @memset(ids[total + 1 ..][0..w.held], 0);
+                } else try source.host(source.ptr, w.stream, ids[total + 1 ..][0..w.held]);
+            }
+            if (w.parents != null or rows > st.window_rows or total + rows > st.batch_rows or w.positions.len != rows) return error.UnsupportedLfmWindow;
             if (w.masks.len != 0 and w.masks.len != rows * mask_words) return error.InvalidLfmMasks;
             const cache = try self.cacheOf(w.stream);
             for (w.positions, 0..) |p, r| if (p != cache.len + r + 1) return error.InvalidLfmPosition;
             segments[i] = .{ .cache = cache, .rows = rows };
             ids[total] = w.pending;
-            @memcpy(ids[total + 1 ..][0..w.tokens.len], w.tokens);
+            @memcpy(ids[total + 1 + w.held ..][0..w.tokens.len], w.tokens);
             total += rows;
         }
-        try self.run(segments[0..windows.len], ids[0..total], true, .all);
+        self.gen += 1;
+        try fwd.runHeld(self.model, &self.scratch, segments[0..windows.len], ids[0..total], true, .all, held[0..count], wait);
         if (self.scratch.taps != null) for (segments[0..windows.len]) |seg| {
             const last = seg.cache.last.?;
             seg.cache.tap = .{ .start = last.start, .row = last.base, .rows = last.rows, .gen = self.gen };
@@ -268,7 +292,7 @@ pub const Metal = struct {
         const best = self.scratch.best.slice(u32, 2 * total);
         var base: usize = 0;
         for (windows, out) |w, o| {
-            if (o.sampled.len != w.rows() or o.drafts.len != w.tokens.len) return error.InvalidLfmOutputs;
+            if (o.sampled.len != w.rows() or o.drafts.len != w.rows() - 1) return error.InvalidLfmOutputs;
             for (o.sampled, w.positions, 0..) |*t, p, r| {
                 const mask = if (w.masks.len > 0) w.masks[r * mask_words ..][0..mask_words] else &.{};
                 // A greedy row takes the GPU's pick, the host's draw on the same logits; a nonfinite row errors there.
@@ -279,7 +303,7 @@ pub const Metal = struct {
                 }
                 t.* = try draw(self.gpa, logits[(base + r) * c.vocab ..][0..c.vocab], w.stream.sampling, p, mask);
             }
-            @memcpy(o.drafts, w.tokens);
+            @memcpy(o.drafts, self.scratch.ids.slice(u32, base + w.rows())[base + 1 ..][0 .. w.rows() - 1]);
             base += w.rows();
         }
     }
diff --git a/zig/src/families/lfm2_moe/dspark.zig b/zig/src/families/lfm2_moe/dspark.zig
new file mode 100644
index 0000000000..cd6a935f43
--- /dev/null
+++ b/zig/src/families/lfm2_moe/dspark.zig
@@ -0,0 +1,483 @@
+//! LiquidAI's DSpark drafter on LFM2's taps: a stream's context keys, a block of rows, a Markov chain of drafts.
+const std = @import("std");
+const mtl = @import("metal");
+const lanes = @import("lanes");
+const c = @import("config.zig");
+const dc = @import("dspark_config.zig");
+const dw = @import("dspark_weights.zig");
+const block = @import("dspark_block.zig");
+const st = @import("state.zig");
+const snapshot = @import("snapshot.zig");
+const Model = @import("model.zig").Model;
+const backend = @import("backend.zig");
+
+const dr = lanes.drafter;
+const Stream = lanes.Stream;
+const shared = mtl.ResourceOptions.shared | mtl.ResourceOptions.untracked;
+
+/// Block rows one hold pass takes (the decode twin's rows), and context rows one absorb pass takes.
+pub const pass_rows = 32;
+pub const absorb_rows = 2048;
+/// Verified rows a lane keeps on the host until its next hold absorbs them (a round's rows for no GPU work).
+pub const stage_rows = 128;
+const kw = c.kv_heads * c.head_dim;
+
+/// `bits`: 0 runs the released bf16 matrices as stored; 8 quantizes the linears to 8-bit codes at load.
+pub const Options = struct { capacity: usize, bits: u8 = 0 };
+
+/// One stream's context keys and values a layer ([kv head][cap][head dim], as the target's attention reads them).
+pub const Lane = struct {
+    keys: [8]mtl.Buffer,
+    values: [8]mtl.Buffer,
+    cap: usize, // positions each holds: the context and one block past it
+    end: u64 = 0, // context rows absorbed: positions [0, end)
+    stage: mtl.Buffer, // tapped rows [end, end + staged), not absorbed yet (shared storage)
+    staged: u32 = 0,
+    held: [16]u32 = @splat(0),
+    held_len: u32 = 0,
+    slot: ?u32 = null, // its block's place in the last signalled hold, whose picks still hold its drafts
+};
+
+/// The passes' working buffers, one pass at a time on the target's queue.
+pub const Scratch = struct {
+    ids: mtl.Buffer,
+    h: mtl.Buffer,
+    x: mtl.Buffer,
+    r: mtl.Buffer,
+    y: mtl.Buffer,
+    q: mtl.Buffer,
+    k: mtl.Buffer,
+    v: mtl.Buffer,
+    queries: mtl.Buffer,
+    pm: mtl.Buffer,
+    pl: mtl.Buffer,
+    po: mtl.Buffer,
+    gate: mtl.Buffer,
+    up: mtl.Buffer,
+    act: mtl.Buffer,
+    logits: mtl.Buffer,
+    sums: mtl.Buffer,
+    fcx: mtl.Buffer,
+    hctx: mtl.Buffer,
+    best: mtl.Buffer, // the Markov scan's best score and token of each threadgroup, by stream
+    at: mtl.Buffer,
+    picks: mtl.Buffer,
+};
+
+pub const Drafter = struct {
+    gpa: std.mem.Allocator,
+    io: std.Io,
+    target: *Model,
+    config: dc.Config,
+    w: dw.Weights,
+    options: Options,
+    s: Scratch,
+    owned: std.ArrayList(mtl.Buffer) = .empty,
+    lanes: std.AutoHashMapUnmanaged(*Stream, *Lane) = .empty,
+    /// One stream's hold wall ms at full depth, and that over the block (the depth rule's cost a draft).
+    hold_ms: f64 = 0,
+    step_ms: f64 = 0,
+    event: mtl.Event = undefined,
+    signalled: u64 = 0,
+    pending: ?mtl.CommandBuffer = null,
+    pass: [pass_rows]*Lane = undefined, // the signalled hold's lanes and depths, in its blocks' order
+    depths: [pass_rows]u32 = undefined,
+    pass_len: usize = 0,
+
+    pub fn init(gpa: std.mem.Allocator, io: std.Io, target: *Model, dir: []const u8, options: Options) !*Drafter {
+        const d = try gpa.create(Drafter);
+        errdefer gpa.destroy(d);
+        d.* = .{ .gpa = gpa, .io = io, .target = target, .config = try dc.Config.read(gpa, io, dir), .w = undefined, .options = options, .s = undefined };
+        d.event = try target.device.event();
+        errdefer d.event.deinit();
+        d.w = try dw.load(gpa, target.device, io, dir, &d.config, options.bits);
+        errdefer d.w.deinit(gpa);
+        try d.prepare();
+        return d;
+    }
+
+    fn prepare(d: *Drafter) !void {
+        errdefer {
+            for (d.owned.items) |b| b.deinit();
+            d.owned.deinit(d.gpa);
+        }
+        try d.scratch();
+        try d.warm();
+    }
+
+    pub fn deinit(d: *Drafter) void {
+        d.settle() catch {};
+        d.event.deinit();
+        var it = d.lanes.valueIterator();
+        while (it.next()) |l| d.dropLane(l.*);
+        d.lanes.deinit(d.gpa);
+        for (d.owned.items) |b| b.deinit();
+        d.owned.deinit(d.gpa);
+        d.w.deinit(d.gpa);
+        d.gpa.destroy(d);
+    }
+
+    fn buffer(d: *Drafter, bytes: usize) !mtl.Buffer {
+        const b = try d.target.device.buffer(@max(bytes, 16), shared);
+        errdefer b.deinit();
+        try d.owned.append(d.gpa, b);
+        return b;
+    }
+
+    fn scratch(d: *Drafter) !void {
+        const r = pass_rows;
+        const wide = @max(pass_rows, absorb_rows);
+        const i = d.config.intermediate;
+        const partials = @max(st.split_rows, d.config.block) * st.subs * c.query_heads * st.chunks;
+        const sums = @max(absorb_rows * (d.config.tap_count * c.hidden / 64), r * (i / 64));
+        d.s = .{
+            .ids = try d.buffer(r * 4),
+            .h = try d.buffer(r * c.hidden * 2),
+            .x = try d.buffer(wide * c.hidden * 2),
+            .r = try d.buffer(r * c.hidden * 2),
+            .y = try d.buffer(r * c.hidden * 2),
+            .q = try d.buffer(r * c.hidden * 2),
+            .k = try d.buffer(wide * kw * 2),
+            .v = try d.buffer(wide * kw * 2),
+            .queries = try d.buffer((r + st.attn_rows) * c.hidden * 2),
+            .pm = try d.buffer(partials * 4),
+            .pl = try d.buffer(partials * 4),
+            .po = try d.buffer(partials * c.head_dim * 4),
+            .gate = try d.buffer(r * i * 2),
+            .up = try d.buffer(r * i * 2),
+            .act = try d.buffer(r * i * 2),
+            .logits = try d.buffer(r * c.vocab * 2),
+            .sums = try d.buffer(sums * 4),
+            .fcx = try d.buffer(absorb_rows * c.hidden * 2),
+            .hctx = try d.buffer(absorb_rows * c.hidden * 2),
+            .best = try d.buffer(r * block.scan_groups * 4),
+            .at = try d.buffer(r * block.scan_groups * 4),
+            .picks = try d.buffer(d.config.block * r * 8),
+        };
+    }
+
+    /// The drafter's buffers that every round reads (weights and scratch), for the server's residency set.
+    pub fn buffers(d: *const Drafter, gpa: std.mem.Allocator) ![]mtl.Buffer {
+        return std.mem.concat(gpa, mtl.Buffer, &.{ d.w.buffers(), d.owned.items });
+    }
+
+    pub fn drafter(d: *Drafter) dr.Drafter {
+        return .{ .ptr = d, .vtable = &.{ .taps = tapsFn, .facts = factsFn, .open = openFn, .absorb = absorbFn, .hold = holdFn, .held = heldFn, .release = releaseFn } };
+    }
+
+    fn cast(ptr: *anyopaque) *Drafter {
+        return @ptrCast(@alignCast(ptr));
+    }
+
+    fn tapsFn(ptr: *anyopaque) []const u32 {
+        const d = cast(ptr);
+        return d.config.taps[0..d.config.tap_count];
+    }
+
+    /// Acceptance a depth until a stream has its own: the card's 5.16 tokens a step at block 9 is 0.84 a depth.
+    const prior: [16]f64 = @splat(0.84);
+
+    fn factsFn(ptr: *anyopaque) dr.Facts {
+        const d = cast(ptr);
+        return .{ .depth = d.config.block, .step_ms = d.step_ms, .prior = prior[0..d.config.block], .batched = true, .stream_bytes = d.laneBytes(d.options.capacity) };
+    }
+
+    pub fn laneBytes(d: *const Drafter, capacity: usize) usize {
+        return 2 * d.config.layers * (capacity + d.config.block) * kw * 2 + stage_rows * d.tapBytes();
+    }
+
+    /// A tapped row's bytes: every tap's hidden row, bf16.
+    pub fn tapBytes(d: *const Drafter) usize {
+        return d.config.tap_count * c.hidden * 2;
+    }
+
+    /// The lane's staged rows as an absorb piece (null: none staged).
+    pub fn stagedPiece(l: *Lane) ?block.Piece {
+        if (l.staged == 0) return null;
+        return .{ .lane = l, .src = .{ .buf = l.stage }, .rows = l.staged, .p0 = l.end };
+    }
+
+    /// The lane's staged rows absorbed now, in a command buffer of their own.
+    fn flush(d: *Drafter, l: *Lane) !void {
+        const pc = stagedPiece(l) orelse return;
+        const pool = mtl.objc.Pool.push();
+        defer pool.pop();
+        const run = block.begin(d);
+        try block.absorbPass(d, run.e, &.{pc});
+        try block.end(run.cb, run.e);
+        l.end += l.staged;
+        l.staged = 0;
+    }
+
+    fn openFn(ptr: *anyopaque, s: *Stream) anyerror!void {
+        const d = cast(ptr);
+        if (d.lanes.contains(s)) return error.DraftStreamOpen;
+        const want = s.prompt_len + s.max_new + 2 * d.config.block;
+        const l = try d.newLane(@min(d.options.capacity, (want + 63) / 64 * 64));
+        errdefer d.dropLane(l);
+        try d.lanes.put(d.gpa, s, l);
+    }
+
+    pub fn newLane(d: *Drafter, capacity: usize) !*Lane {
+        const l = try d.gpa.create(Lane);
+        errdefer d.gpa.destroy(l);
+        l.* = .{ .keys = undefined, .values = undefined, .stage = try d.target.device.buffer(stage_rows * d.tapBytes(), shared), .cap = capacity + d.config.block };
+        errdefer l.stage.deinit();
+        var made: usize = 0;
+        errdefer for (0..made) |i| {
+            l.keys[i].deinit();
+            l.values[i].deinit();
+        };
+        for (0..d.config.layers) |i| {
+            l.keys[i] = try d.target.device.buffer(l.cap * kw * 2, shared);
+            l.values[i] = d.target.device.buffer(l.cap * kw * 2, shared) catch |e| {
+                l.keys[i].deinit();
+                return e;
+            };
+            made += 1;
+        }
+        return l;
+    }
+
+    pub fn dropLane(d: *Drafter, l: *Lane) void {
+        l.stage.deinit();
+        for (0..d.config.layers) |i| {
+            l.keys[i].deinit();
+            l.values[i].deinit();
+        }
+        d.gpa.destroy(l);
+    }
+
+    fn releaseFn(ptr: *anyopaque, s: *Stream) void {
+        const d = cast(ptr);
+        d.unpass() catch {};
+        if (d.lanes.fetchRemove(s)) |e| d.dropLane(e.value);
+    }
+
+    fn heldFn(ptr: *anyopaque, streams: []const *Stream, out: []const []u32) anyerror!void {
+        const d = cast(ptr);
+        try d.settle();
+        for (streams, out) |s, o| {
+            const l = d.lanes.get(s) orelse return error.DraftStreamUnknown;
+            if (o.len > l.held_len) return error.DraftHeldFewer;
+            @memcpy(o, l.held[0..o.len]);
+        }
+    }
+
+    /// Bytes a lane's context at `at` takes beside a kept prompt state.
+    pub fn keptBytes(d: *const Drafter, at: usize) u64 {
+        return 2 * @as(u64, d.config.layers) * at * kw * 2;
+    }
+
+    /// Stream `s`'s context copied into `snap` when its lane stands at the snapshot's position (a prompt chunk's end).
+    pub fn keepLane(d: *Drafter, s: *Stream, snap: *snapshot.Snap) !void {
+        const l = d.lanes.get(s) orelse return;
+        try d.settle();
+        try d.flush(l);
+        if (l.end != snap.at) return;
+        const bytes = try d.gpa.alloc(u8, @intCast(d.keptBytes(snap.at)));
+        copyLane(d, l, snap.at, bytes, true);
+        snap.draft = bytes;
+    }
+
+    /// The lane takes the context kept with the state its stream's prompt pass resumed at `start`.
+    fn resumeLane(d: *Drafter, s: *Stream, l: *Lane, start: u64) !void {
+        const saved = s.reuse.saved orelse return error.DraftContextGap;
+        const snap: *const snapshot.Snap = @ptrCast(@alignCast(saved));
+        const bytes = snap.draft orelse return error.DraftContextGap;
+        if (s.cached != start or snap.at != start or l.end != 0 or start + d.config.block > l.cap) return error.DraftContextGap;
+        copyLane(d, l, snap.at, bytes, false);
+        l.end = start;
+    }
+
+    /// Rows [0, at) of every layer's keys and values and `bytes` (`out`: the lane's into bytes), kv head by kv head.
+    fn copyLane(d: *const Drafter, l: *const Lane, at: usize, bytes: []u8, out: bool) void {
+        const n = at * c.head_dim * 2;
+        var off: usize = 0;
+        for (0..d.config.layers) |i| for ([_]mtl.Buffer{ l.keys[i], l.values[i] }) |buf| for (0..c.kv_heads) |h| {
+            const live = (buf.contents() + h * l.cap * c.head_dim * 2)[0..n];
+            if (out) @memcpy(bytes[off..][0..n], live) else @memcpy(live, bytes[off..][0..n]);
+            off += n;
+        };
+    }
+
+    /// Rows from `start` replace the context there: verified rows wait on the host for the next hold, others run now.
+    fn absorbFn(ptr: *anyopaque, items: []const dr.Absorb) anyerror!void {
+        const d = cast(ptr);
+        try d.settle();
+        const width = d.tapBytes();
+        const pool = mtl.objc.Pool.push();
+        defer pool.pop();
+        var run: ?@TypeOf(block.begin(d)) = null;
+        var pieces: [32]block.Piece = undefined;
+        var count: usize = 0;
+        var rows: usize = 0;
+        for (items) |it| {
+            const l = d.lanes.get(it.stream) orelse return error.DraftStreamUnknown;
+            const f = it.features;
+            if (f.space != .device or f.dtype != .bf16 or f.row_bytes != width or it.rows != null) return error.DraftFeaturesUnsupported;
+            if (it.start > l.end + l.staged) try d.resumeLane(it.stream, l, it.start); // a prompt pass that resumed
+            if (it.start + f.rows + d.config.block > l.cap) return error.DraftContextGap;
+            l.held_len = 0;
+            l.slot = null;
+            const src = mtl.Buffer{ .id = @ptrFromInt(f.buffer) };
+            // rows from `start` replace what was staged past it; rows before the absorbed end go to the GPU now
+            const keep: u32 = if (it.start >= l.end) @intCast(it.start - l.end) else 0;
+            l.staged = @min(l.staged, keep);
+            if (!it.prompt and it.start >= l.end and l.staged + f.rows <= stage_rows) {
+                const from = (src.contents() + f.offset)[0 .. f.rows * width];
+                @memcpy((l.stage.contents() + l.staged * width)[0 .. f.rows * width], from);
+                l.staged += f.rows;
+                continue;
+            }
+            if (run == null) run = block.begin(d);
+            const e = run.?.e;
+            if (stagedPiece(l)) |pc| {
+                if (count == pieces.len or rows + pc.rows > absorb_rows) {
+                    try block.absorbPass(d, e, pieces[0..count]);
+                    count = 0;
+                    rows = 0;
+                }
+                pieces[count] = pc;
+                count += 1;
+                rows += pc.rows;
+            }
+            var at: usize = 0;
+            while (at < f.rows) {
+                if (rows == absorb_rows or count == pieces.len) { // the pass is full: encode it
+                    try block.absorbPass(d, e, pieces[0..count]);
+                    count = 0;
+                    rows = 0;
+                }
+                const n = @min(absorb_rows - rows, f.rows - at);
+                pieces[count] = .{ .lane = l, .src = .{ .buf = src, .off = f.offset + at * width }, .rows = n, .p0 = it.start + at };
+                count += 1;
+                rows += n;
+                at += n;
+            }
+            l.end = it.start + f.rows;
+            l.staged = 0;
+        }
+        const r = run orelse return;
+        if (count > 0) try block.absorbPass(d, r.e, pieces[0..count]);
+        try block.end(r.cb, r.e);
+    }
+
+    /// Each stream's chain of `depth` drafts after `pending` at `position`, its block's rows in a pass of pass_rows.
+    fn holdFn(ptr: *anyopaque, items: []const dr.Hold) anyerror!void {
+        const d = cast(ptr);
+        try d.unpass();
+        var at: usize = 0;
+        while (at < items.len) {
+            // as many streams as their blocks' rows fit a pass: each block is as long as the pass's deepest chain
+            var deepest: usize = 0;
+            var end = at;
+            while (end < items.len) : (end += 1) {
+                const rows = @max(deepest, items[end].depth);
+                if ((end - at + 1) * rows > pass_rows) break;
+                deepest = rows;
+            }
+            if (end == at) return error.DraftDepth;
+            var blocks: [pass_rows]block.Block = undefined;
+            const group = items[at..end];
+            at = end;
+            for (group, blocks[0..group.len]) |it, *b| {
+                const l = d.lanes.get(it.stream) orelse return error.DraftStreamUnknown;
+                if (it.depth == 0 or it.depth > d.config.block or it.position == 0) return error.DraftDepth;
+                const anchor = it.position - 1;
+                if (l.end + l.staged != anchor or anchor + d.config.block > l.cap) return error.DraftContextGap;
+                b.* = .{ .lane = l, .pending = it.pending, .anchor = anchor, .depth = it.depth };
+            }
+            if (group.len == items.len) { // one pass: signalled, not waited on
+                d.signalled += 1;
+                d.pending = try block.hold(d, blocks[0..group.len], .{ .event = d.event, .value = d.signalled });
+                for (blocks[0..group.len], 0..) |b, bi| {
+                    d.pass[bi] = b.lane;
+                    d.depths[bi] = b.depth;
+                    b.lane.slot = @intCast(bi);
+                    b.lane.held_len = 0;
+                }
+                d.pass_len = group.len;
+                continue;
+            }
+            _ = try block.hold(d, blocks[0..group.len], null);
+        }
+    }
+
+    /// The signalled hold waited on, its picks read into its lanes' held chains (nothing pending: nothing done).
+    fn settle(d: *Drafter) !void {
+        const cb = d.pending orelse return;
+        d.pending = null;
+        defer cb.release();
+        cb.wait();
+        if (cb.failure()) |msg| {
+            std.log.err("lfm2 dspark: a hold failed on the GPU: {s}", .{msg});
+            return error.DraftGpuFailed;
+        }
+        try block.readPicks(d, d.pass[0..d.pass_len], d.depths[0..d.pass_len]);
+    }
+
+    /// The signalled hold settled and its lanes' picks forgotten (a lane may be dropped, or a hold may overwrite).
+    fn unpass(d: *Drafter) !void {
+        defer {
+            for (d.pass[0..d.pass_len]) |l| l.slot = null;
+            d.pass_len = 0;
+        }
+        try d.settle();
+    }
+
+    /// Where stream `s`'s drafts from the last signalled hold lie in the picks, for a verify to copy on the GPU.
+    pub fn device(ptr: *anyopaque, s: *Stream) ?backend.Device {
+        const d = cast(ptr);
+        const l = d.lanes.get(s) orelse return null;
+        const slot = l.slot orelse return null;
+        return .{ .src = d.s.picks, .off = slot * 8, .stride = pass_rows * 2, .wait = .{ .event = d.event, .value = d.signalled } };
+    }
+
+    /// The target's verify reading the held drafts on the device, or as host tokens where it cannot.
+    pub fn heldSource(d: *Drafter) backend.HeldSource {
+        return .{ .ptr = d, .get = device, .host = hostHeld };
+    }
+
+    fn hostHeld(ptr: *anyopaque, s: *Stream, out: []u32) anyerror!void {
+        return heldFn(ptr, &.{s}, &.{out});
+    }
+
+    /// Holds on an empty context: the pipelines compiled, then one-draft and full-depth holds timed (best of three).
+    fn warm(d: *Drafter) !void {
+        const l = try d.newLane(64);
+        defer d.dropLane(l);
+        var best: [2]f64 = @splat(std.math.floatMax(f64));
+        for (0..4) |i| for ([_]u32{ 1, d.config.block }, &best) |depth, *b| {
+            const t0 = std.Io.Clock.awake.now(d.io);
+            _ = try block.hold(d, &.{.{ .lane = l, .pending = 1, .anchor = 0, .depth = depth }}, null);
+            const ms = @as(f64, @floatFromInt(t0.durationTo(std.Io.Clock.awake.now(d.io)).toNanoseconds())) / 1e6;
+            if (i > 0) b.* = @min(b.*, ms);
+        };
+        d.hold_ms = best[1];
+        d.step_ms = best[1] / @as(f64, @floatFromInt(d.config.block));
+        std.log.info("lfm2 dspark: a 1-draft hold takes {d:.2} ms, a {d}-draft hold {d:.2} ms", .{ best[0], d.config.block, best[1] });
+    }
+};
+
+test "lfm2 dspark: scratch and warm allocation failures release buffers before their list" {
+    const device = mtl.Device.init() catch return error.SkipZigTest;
+    defer device.deinit();
+    var target: Model = undefined;
+    target.device = device;
+    for ([_]usize{ 1, 3 }) |fail_index| {
+        var failing = std.testing.FailingAllocator.init(std.testing.allocator, .{ .fail_index = fail_index });
+        var d: Drafter = .{
+            .gpa = failing.allocator(),
+            .io = undefined,
+            .target = &target,
+            .config = try dc.Config.parse(std.testing.allocator, dc.stock),
+            .w = undefined,
+            .options = .{ .capacity = 64 },
+            .s = undefined,
+        };
+        try std.testing.expectError(error.OutOfMemory, d.prepare());
+        try std.testing.expect(failing.has_induced_failure);
+        try std.testing.expectEqual(failing.allocated_bytes, failing.freed_bytes);
+    }
+}
diff --git a/zig/src/families/lfm2_moe/dspark_bf16_test.zig b/zig/src/families/lfm2_moe/dspark_bf16_test.zig
new file mode 100644
index 0000000000..293549bde1
--- /dev/null
+++ b/zig/src/families/lfm2_moe/dspark_bf16_test.zig
@@ -0,0 +1,121 @@
+//! The DSpark drafter's bf16 kernels on the GPU against host references: the linears and the Markov scan over bf16 W2.
+const std = @import("std");
+const mtl = @import("metal");
+const quant = @import("dspark_quant.zig");
+const base = @import("dspark_test.zig");
+
+const Args = extern struct { rows: u32, n: u32, k: u32 };
+
+/// y = x W^T through `key` on random bf16 data, each output within a bf16 step of the fp64 product.
+fn linear(comptime key: []const u8, rows: usize, n: usize, k: usize, groups: [2]usize, threads: usize) !void {
+    var r = try base.Rig.init();
+    defer r.deinit();
+    const x = try r.buffer(u16, rows * k);
+    defer x.deinit();
+    const w = try r.buffer(u16, n * k);
+    defer w.deinit();
+    const y = try r.buffer(u16, rows * n);
+    defer y.deinit();
+    base.noise(31, x.slice(u16, rows * k), 2);
+    base.noise(32, w.slice(u16, n * k), 0.5);
+    const cb = r.queue.commandBuffer();
+    const e = cb.compute(.serial);
+    e.setPipeline(r.k.get(key));
+    e.setBuffer(x, 0, 0);
+    e.setBuffer(w, 0, 1);
+    e.setValue(Args{ .rows = @intCast(rows), .n = @intCast(n), .k = @intCast(k) }, 2);
+    e.setBuffer(y, 0, 3);
+    e.dispatchGroups(mtl.Size.of(groups[0], groups[1], 1), mtl.Size.of(threads, 1, 1));
+    e.end();
+    cb.commit();
+    cb.wait();
+    if (cb.failure()) |_| return error.GpuFailed;
+    const xs = x.slice(u16, rows * k);
+    const ws = w.slice(u16, n * k);
+    const ys = y.slice(u16, rows * n);
+    for (0..rows) |i| for (0..n) |j| {
+        var dot: f64 = 0;
+        for (0..k) |t| dot += @as(f64, quant.toF32(xs[i * k + t])) * @as(f64, quant.toF32(ws[j * k + t]));
+        const got: f64 = quant.toF32(ys[i * n + j]);
+        try std.testing.expect(@abs(got - dot) <= @abs(dot) * 0x1p-7 + 1e-3);
+    };
+}
+
+test "lfm2 dspark: the bf16 rows kernel is x W^T for one row, a full 16 and a ragged 19 (two row groups)" {
+    for ([_]usize{ 1, 16, 19 }) |rows| try linear("lfm2_bf16_rows", rows, 100, 288, .{ 13, (rows + 15) / 16 }, 256);
+}
+
+test "lfm2 dspark: the bf16 tile kernel is x W^T for a ragged 70 rows and 100 columns, k a multiple of 32" {
+    try linear("lfm2_bf16_mma", 70, 100, 288, .{ 2, 2 }, 128);
+}
+
+test "lfm2 dspark: the bf16 tile kernel at the drafter's widths" {
+    try linear("lfm2_bf16_mma", 33, 512, 2048, .{ 8, 1 }, 128);
+}
+
+test "lfm2 dspark: a Markov step over bf16 W2 picks the argmax of bf16(base + bf16(W2 . W1[prev])), a NaN row flagged" {
+    var r = try base.Rig.init();
+    defer r.deinit();
+    const rank = 256;
+    const vocab = 1300;
+    const streams = 4;
+    const groups = (vocab + 511) / 512;
+    const w1 = try r.buffer(u16, vocab * rank);
+    defer w1.deinit();
+    base.noise(11, w1.slice(u16, vocab * rank), 1);
+    const w2 = try r.buffer(u16, vocab * rank);
+    defer w2.deinit();
+    base.noise(12, w2.slice(u16, vocab * rank), 0.5);
+    const ids = try r.buffer(u32, 2 * streams);
+    defer ids.deinit();
+    @memcpy(ids.slice(u32, 2 * streams), &[_]u32{ 17, 9, vocab - 1, 9, vocab + 5, 0, 3, 3 });
+    const logits = try r.buffer(u16, streams * 2 * vocab);
+    defer logits.deinit();
+    base.noise(14, logits.slice(u16, streams * 2 * vocab), 4);
+    logits.slice(u16, streams * 2 * vocab)[3 * 2 * vocab + 700] = 0x7fc0;
+    const best = try r.buffer(f32, streams * groups);
+    defer best.deinit();
+    const at = try r.buffer(u32, streams * groups);
+    defer at.deinit();
+    const picks = try r.buffer(u32, 2 * streams);
+    defer picks.deinit();
+    const cb = r.queue.commandBuffer();
+    const e = cb.compute(.serial);
+    e.setPipeline(r.k.get("lfm2_markov_scan_bf16"));
+    for ([_]mtl.Buffer{ logits, w1, w2, ids }, 0..) |b, i| e.setBuffer(b, 0, i);
+    e.setValue([4]u32{ 2 * vocab, rank, vocab, 2 }, 4);
+    for ([_]mtl.Buffer{ best, at }, 5..) |b, i| e.setBuffer(b, 0, i);
+    e.dispatchGroups(mtl.Size.of(groups, streams, 1), mtl.Size.of(256, 1, 1));
+    e.setPipeline(r.k.get("lfm2_markov_pick"));
+    e.setBuffer(best, 0, 0);
+    e.setBuffer(at, 0, 1);
+    e.setValue(@as(u32, groups), 2);
+    e.setBuffer(picks, 0, 3);
+    e.dispatchGroups(mtl.Size.of(streams, 1, 1), mtl.Size.of(256, 1, 1));
+    e.end();
+    cb.commit();
+    cb.wait();
+    const got = picks.slice(u32, 2 * streams);
+    const logit = logits.slice(u16, streams * 2 * vocab);
+    for (0..streams) |s| {
+        if (s == 3) {
+            try std.testing.expectEqual(@as(u32, 1), got[2 * s + 1]);
+            continue;
+        }
+        try std.testing.expectEqual(@as(u32, 0), got[2 * s + 1]);
+        const id = ids.slice(u32, 2 * streams)[2 * s];
+        var top: f64 = -std.math.inf(f64);
+        var mine: f64 = 0;
+        for (0..vocab) |v| {
+            var dot: f64 = 0;
+            for (0..rank) |i| {
+                const e1: f64 = if (id < vocab) quant.toF32(w1.slice(u16, vocab * rank)[id * rank + i]) else 0;
+                dot += @as(f64, quant.toF32(w2.slice(u16, vocab * rank)[v * rank + i])) * e1;
+            }
+            const score: f64 = quant.toF32(quant.toBf16(quant.toF32(logit[s * 2 * vocab + v]) + quant.toF32(quant.toBf16(@floatCast(dot)))));
+            top = @max(top, score);
+            if (v == got[2 * s]) mine = score;
+        }
+        try std.testing.expect(got[2 * s] < vocab and mine >= top - @abs(top) * 0x1p-7);
+    }
+}
diff --git a/zig/src/families/lfm2_moe/dspark_block.zig b/zig/src/families/lfm2_moe/dspark_block.zig
new file mode 100644
index 0000000000..a750319709
--- /dev/null
+++ b/zig/src/families/lfm2_moe/dspark_block.zig
@@ -0,0 +1,333 @@
+//! DSpark's passes on the target's queue: context rows into a lane's keys, and a block's rows into Markov drafts.
+const std = @import("std");
+const mtl = @import("metal");
+const c = @import("config.zig");
+const st = @import("state.zig");
+const fwd = @import("forward.zig");
+const tile = @import("../../core/tile_qmm.zig");
+const am = @import("../../core/affine_mm.zig");
+const round = @import("tree_round_gpu");
+const ds = @import("dspark.zig");
+const dw = @import("dspark_weights.zig");
+const Drafter = ds.Drafter;
+const Lane = ds.Lane;
+
+const kw = c.kv_heads * c.head_dim;
+const QkArgs = extern struct { len: u32, cap: u32, eps: f32, log2_theta: f32 };
+const AttnArgs = extern struct { len: u32, cap: u32, scale: f32, subs: u32 };
+const Pick = round.contract.Pick;
+const Bf16Args = extern struct { rows: u32, n: u32, k: u32 };
+const MarkovArgs = extern struct { stride: u32, rank: u32, vocab: u32, prev_stride: u32 };
+/// Tokens a Markov scan threadgroup takes (the kernel's MARKOV_SPAN), and threadgroups a stream's row takes.
+pub const scan_span = 512;
+pub const scan_groups = (c.vocab + scan_span - 1) / scan_span;
+
+/// A buffer and byte offset.
+pub const Ref = struct { buf: mtl.Buffer, off: usize = 0 };
+
+/// One stream's block in a hold pass: rows [pending, mask x (block - 1)] at positions anchor .. anchor + block - 1.
+pub const Block = struct { lane: *Lane, pending: u32, anchor: u64, depth: u32 };
+
+const Enc = struct {
+    d: *Drafter,
+    e: mtl.ComputeEncoder,
+
+    fn pipe(x: Enc, comptime key: []const u8) void {
+        x.e.setPipeline(x.d.target.kernels.get(key));
+    }
+
+    /// y[rows] = x[rows] W^T: the twin up to its rows, past them the M5's tensor-unit kernels, else the tiles.
+    fn project(x: Enc, lin: dw.Linear, in: Ref, out: Ref, rows: usize) !void {
+        const w = switch (lin) {
+            .codes => |m| m,
+            .bf16 => |m| return x.bf16(m, in, out, rows),
+        };
+        const t = &x.d.target.kernels.tiles;
+        if (rows > tile.twin_rows) if (x.d.target.kernels.naxPipes(w.bits)) |p| {
+            const sums = Ref{ .buf = x.d.s.sums };
+            am.rowSums(x.e, p, c.group, in, sums, @intCast(rows), @intCast(w.k));
+            const q = .{ .w = Ref{ .buf = w.w, .off = w.w_off }, .s = Ref{ .buf = w.scales, .off = w.s_off }, .b = Ref{ .buf = w.biases, .off = w.b_off }, .n = @as(u32, @intCast(w.n)), .k = @as(u32, @intCast(w.k)) };
+            return am.dense(x.e, p, in, sums, q, out, @intCast(rows));
+        };
+        if (rows <= tile.twin_rows and x.d.target.kernels.twin) return tile.encodeTwin(x.e, t, w, in.buf, in.off, out.buf, out.off, rows);
+        tile.encodeSums(x.e, t, w.k, in.buf, in.off, x.d.s.sums, rows);
+        try tile.encode(x.e, t, w, in.buf, in.off, x.d.s.sums, 0, out.buf, out.off, rows);
+    }
+
+    /// y[rows] = x[rows] W^T over the released bf16 matrix: 16 rows a pass of W up to 32 rows, else 64x64 tiles.
+    fn bf16(x: Enc, m: dw.Bf16, in: Ref, out: Ref, rows: usize) void {
+        const args = Bf16Args{ .rows = @intCast(rows), .n = @intCast(m.n), .k = @intCast(m.k) };
+        const few = rows <= 32;
+        if (few) x.pipe("lfm2_bf16_rows") else x.pipe("lfm2_bf16_mma");
+        x.e.setBuffer(in.buf, in.off, 0);
+        x.e.setBuffer(m.w, 0, 1);
+        x.e.setBytes(std.mem.asBytes(&args), 2);
+        x.e.setBuffer(out.buf, out.off, 3);
+        if (few) {
+            x.e.dispatchGroups(mtl.Size.of((m.n + 7) / 8, (rows + 15) / 16, 1), mtl.Size.of(256, 1, 1));
+        } else x.e.dispatchGroups(mtl.Size.of((m.n + 63) / 64, (rows + 63) / 64, 1), mtl.Size.of(128, 1, 1));
+    }
+
+    /// h += r when `add`, then out = norm(h) * gain: LFM2's own norm (the drafter's width and eps are the target's).
+    fn norm(x: Enc, h: mtl.Buffer, r: mtl.Buffer, gain: mtl.Buffer, add: bool, out: mtl.Buffer, rows: usize) void {
+        x.pipe("lfm2_norm");
+        x.e.setBuffer(h, 0, 0);
+        x.e.setBuffer(r, 0, 1);
+        x.e.setBuffer(gain, 0, 2);
+        x.e.setValue(c.eps, 3);
+        x.e.setValue(@as(u32, @intFromBool(add)), 4);
+        x.e.setBuffer(out, 0, 5);
+        x.e.dispatchGroups(mtl.Size.of(rows, 1, 1), mtl.Size.of(c.hidden / 4, 1, 1));
+    }
+
+    /// Rows' queries normed and rotated into `queries`, keys and values into the lane's layer at positions from `len`.
+    fn qk(x: Enc, q: Ref, k: Ref, v: Ref, layer: usize, lane: *const Lane, len: u64, queries: Ref, rows: usize) void {
+        const ly = &x.d.w.layers[layer];
+        x.pipe("lfm2_qk");
+        x.e.setBuffer(q.buf, q.off, 0);
+        x.e.setBuffer(k.buf, k.off, 1);
+        x.e.setBuffer(v.buf, v.off, 2);
+        x.e.setBuffer(ly.q_norm, 0, 3);
+        x.e.setBuffer(ly.k_norm, 0, 4);
+        const args = QkArgs{ .len = @intCast(len), .cap = @intCast(lane.cap), .eps = c.eps, .log2_theta = std.math.log2(x.d.config.theta) };
+        x.e.setBytes(std.mem.asBytes(&args), 5);
+        x.e.setBuffer(queries.buf, queries.off, 6);
+        x.e.setBuffer(lane.keys[layer], 0, 7);
+        x.e.setBuffer(lane.values[layer], 0, 8);
+        x.e.dispatchGroups(mtl.Size.of(c.query_heads + c.kv_heads, rows, 1), mtl.Size.of(32, 1, 1));
+    }
+
+    /// Query rows [row, row + rows) against the lane's keys [0, keys), all of them visible to every row.
+    fn attend(x: Enc, layer: usize, lane: *const Lane, row: usize, rows: usize, keys: u64) void {
+        const s = &x.d.s;
+        const args = AttnArgs{ .len = @intCast(keys - 1), .cap = @intCast(lane.cap), .scale = 1.0 / @sqrt(@as(f32, c.head_dim)), .subs = st.subs };
+        const used = (keys + st.chunk_keys - 1) / st.chunk_keys * st.subs;
+        x.pipe("lfm2_attn_block");
+        x.e.setBuffer(s.queries, row * c.hidden * 2, 0);
+        x.e.setBuffer(lane.keys[layer], 0, 1);
+        x.e.setBuffer(lane.values[layer], 0, 2);
+        x.e.setBytes(std.mem.asBytes(&args), 3);
+        x.e.setBuffer(s.pm, 0, 4);
+        x.e.setBuffer(s.pl, 0, 5);
+        x.e.setBuffer(s.po, 0, 6);
+        x.e.setValue(@as(u32, @intCast(rows)), 7);
+        x.e.dispatchGroups(mtl.Size.of((rows + 7) / 8, c.kv_heads, @intCast(used)), mtl.Size.of(128, 1, 1));
+        x.pipe("lfm2_attn_block_merge");
+        x.e.setBuffer(s.pm, 0, 0);
+        x.e.setBuffer(s.pl, 0, 1);
+        x.e.setBuffer(s.po, 0, 2);
+        x.e.setBytes(std.mem.asBytes(&args), 3);
+        x.e.setBuffer(s.y, row * c.hidden * 2, 4);
+        x.e.dispatchGroups(mtl.Size.of(c.query_heads, rows, 1), mtl.Size.of(32, 1, 1));
+    }
+};
+
+fn failed(msg: [*:0]const u8) anyerror {
+    std.log.err("lfm2 dspark: command buffer failed: {s}", .{msg});
+    return error.GpuFailed;
+}
+
+fn finish(cb: mtl.CommandBuffer, e: mtl.ComputeEncoder) !void {
+    e.end();
+    cb.commit();
+    cb.wait();
+    if (cb.failure()) |msg| return failed(msg);
+}
+
+/// One stream's tapped rows in an absorb pass: `rows` rows at `src`, the context from position `p0`.
+pub const Piece = struct { lane: *Lane, src: Ref, rows: usize, p0: u64 };
+
+/// Each piece's rows into its lane's keys and values (fc, hidden_norm, k, v, k_norm, RoPE) in passes on `e`.
+pub fn absorbPass(d: *Drafter, e: mtl.ComputeEncoder, pieces: []const Piece) !void {
+    const s = &d.s;
+    const x = Enc{ .d = d, .e = e };
+    var rows: usize = 0;
+    for (pieces) |pc| {
+        try x.project(d.w.fc, pc.src, .{ .buf = s.fcx, .off = rows * c.hidden * 2 }, pc.rows);
+        rows += pc.rows;
+    }
+    if (rows == 0 or rows > ds.absorb_rows) return error.DraftContextGap;
+    x.norm(s.fcx, s.fcx, d.w.hidden_norm, false, s.hctx, rows);
+    for (0..d.config.layers) |i| {
+        const ly = &d.w.layers[i];
+        try x.project(ly.k, .{ .buf = s.hctx }, .{ .buf = s.k }, rows);
+        try x.project(ly.v, .{ .buf = s.hctx }, .{ .buf = s.v }, rows);
+        var at: usize = 0;
+        for (pieces) |pc| {
+            // the kernel rotates query heads too: they read the context rows and land in x, which no one reads
+            const q = Ref{ .buf = s.hctx, .off = at * c.hidden * 2 };
+            x.qk(q, .{ .buf = s.k, .off = at * kw * 2 }, .{ .buf = s.v, .off = at * kw * 2 }, i, pc.lane, pc.p0, .{ .buf = s.x }, pc.rows);
+            at += pc.rows;
+        }
+    }
+}
+
+/// A command buffer for absorb passes, and its wait.
+pub fn begin(d: *Drafter) struct { cb: mtl.CommandBuffer, e: mtl.ComputeEncoder } {
+    const cb = d.target.queue.commandBuffer();
+    return .{ .cb = cb, .e = cb.compute(.serial) };
+}
+
+pub fn end(cb: mtl.CommandBuffer, e: mtl.ComputeEncoder) !void {
+    return finish(cb, e);
+}
+
+/// A GPU event a hold signals instead of being waited on, and the value it sets.
+pub const Signal = struct { event: mtl.Event, value: u64 };
+
+/// The blocks' drafts (backbone, then Markov chain) into the lanes' held chains; with `signal`, left for readPicks.
+pub fn hold(d: *Drafter, blocks: []const Block, signal: ?Signal) !?mtl.CommandBuffer {
+    const pool = mtl.objc.Pool.push();
+    defer pool.pop();
+    const s = &d.s;
+    var depth: u32 = 0;
+    for (blocks) |b| depth = @max(depth, b.depth);
+    // a block of the deepest chain's rows, at most the 9 the drafter was trained on
+    const n: u32 = depth;
+    const rows = blocks.len * n;
+    if (rows == 0 or rows > ds.pass_rows) return error.DraftTooManyStreams;
+    const ids = s.ids.slice(u32, ds.pass_rows);
+    for (0..blocks.len) |i| {
+        ids[i * n] = blocks[i].pending;
+        @memset(ids[i * n + 1 ..][0 .. n - 1], d.config.mask);
+    }
+    const steps = depth;
+    // past the last layer's attention a lone block carries only the rows its chain reads; several keep them all
+    const tail = if (blocks.len == 1) steps else rows;
+    const cb = d.target.queue.commandBuffer();
+    const x = Enc{ .d = d, .e = cb.compute(.serial) };
+    const e = x.e;
+    // the blocks' staged context rows first, in the same command buffer
+    var staged: [ds.pass_rows]Piece = undefined;
+    var count: usize = 0;
+    var held: usize = 0;
+    for (blocks) |b| if (ds.Drafter.stagedPiece(b.lane)) |pc| {
+        if (held + pc.rows > ds.absorb_rows) {
+            try absorbPass(d, e, staged[0..count]);
+            count = 0;
+            held = 0;
+        }
+        staged[count] = pc;
+        count += 1;
+        held += pc.rows;
+    };
+    if (count > 0) try absorbPass(d, e, staged[0..count]);
+    for (blocks) |b| {
+        b.lane.end += b.lane.staged;
+        b.lane.staged = 0;
+    }
+    const t = d.target;
+    const emb = t.weights.embedding;
+    e.setPipeline(t.kernels.embed(emb.bits));
+    e.setBuffer(s.ids, 0, 0);
+    e.setBuffer(emb.w, emb.w_off, 1);
+    e.setBuffer(emb.scales, emb.s_off, 2);
+    e.setBuffer(emb.biases, emb.b_off, 3);
+    e.setBuffer(s.h, 0, 4);
+    const units = c.hidden / @as(usize, if (emb.bits == 6) 4 else 8 / emb.bits);
+    e.dispatchThreads(mtl.Size.of(units, rows, 1), mtl.Size.of(256, 1, 1));
+    for (0..d.config.layers) |i| {
+        const ly = &d.w.layers[i];
+        const out = if (i + 1 == d.config.layers) tail else rows;
+        x.norm(s.h, s.r, ly.input_norm, i > 0, s.x, rows);
+        try x.project(ly.q, .{ .buf = s.x }, .{ .buf = s.q }, rows);
+        try x.project(ly.k, .{ .buf = s.x }, .{ .buf = s.k }, rows);
+        try x.project(ly.v, .{ .buf = s.x }, .{ .buf = s.v }, rows);
+        for (blocks, 0..) |b, bi| {
+            const at = bi * n;
+            x.qk(.{ .buf = s.q, .off = at * c.hidden * 2 }, .{ .buf = s.k, .off = at * kw * 2 }, .{ .buf = s.v, .off = at * kw * 2 }, i, b.lane, b.anchor, .{ .buf = s.queries, .off = at * c.hidden * 2 }, n);
+            x.attend(i, b.lane, at, if (blocks.len == 1) out else n, b.anchor + n);
+        }
+        try x.project(ly.o, .{ .buf = s.y }, .{ .buf = s.r }, out);
+        x.norm(s.h, s.r, ly.post_norm, true, s.x, out);
+        try x.project(ly.gate, .{ .buf = s.x }, .{ .buf = s.gate }, out);
+        try x.project(ly.up, .{ .buf = s.x }, .{ .buf = s.up }, out);
+        x.pipe("lfm2_swiglu");
+        e.setBuffer(s.gate, 0, 0);
+        e.setBuffer(s.up, 0, 1);
+        e.setBuffer(s.act, 0, 2);
+        e.setValue(@as(u32, @intCast(out * d.config.intermediate)), 3);
+        e.dispatchThreads(mtl.Size.of(out * d.config.intermediate / 8, 1, 1), mtl.Size.of(256, 1, 1));
+        try x.project(ly.down, .{ .buf = s.act }, .{ .buf = s.r }, out);
+    }
+    x.norm(s.h, s.r, d.w.norm, true, s.x, tail);
+    try x.project(.{ .codes = fwd.matrix(emb) }, .{ .buf = s.x }, .{ .buf = s.logits }, tail);
+    try markov(x, blocks.len, n, steps);
+    if (signal) |sg| { // committed unwaited, the command buffer returned retained
+        e.end();
+        cb.signalEvent(sg.event, sg.value);
+        const kept = cb.retain();
+        cb.commit();
+        return kept;
+    }
+    try finish(cb, e);
+    const picks = s.picks.slice(Pick, d.config.block * ds.pass_rows);
+    for (blocks, 0..) |b, bi| {
+        for (b.lane.held[0..steps], 0..) |*h, i| {
+            const p = picks[i * ds.pass_rows + bi];
+            if (p.nonfinite != 0 or p.token >= c.vocab) return error.DraftNonfinite;
+            h.* = p.token;
+        }
+        b.lane.held_len = b.depth;
+    }
+    return null;
+}
+
+/// A finished hold's picks into the lanes' held chains; a nonfinite or invalid pick is refused, as when synchronous.
+pub fn readPicks(d: *Drafter, lanes: []const *Lane, depths: []const u32) !void {
+    const picks = d.s.picks.slice(Pick, d.config.block * ds.pass_rows);
+    var chains: [ds.pass_rows][]u32 = undefined;
+    for (lanes, chains[0..lanes.len]) |l, *ch| ch.* = &l.held;
+    try copyPicks(picks, chains[0..lanes.len], depths);
+    for (lanes, depths) |l, depth| l.held_len = depth;
+}
+
+/// Step i of block bi is picks[i * ds.pass_rows + bi]: each block's first `depth` picks into its chain.
+pub fn copyPicks(picks: []const Pick, chains: []const []u32, depths: []const u32) !void {
+    for (chains, depths, 0..) |chain, depth, bi| {
+        for (chain[0..depth], 0..) |*h, i| {
+            const p = picks[i * ds.pass_rows + bi];
+            if (p.nonfinite != 0 or p.token >= c.vocab) return error.DraftNonfinite;
+            h.* = p.token;
+        }
+    }
+}
+
+/// Step i of each stream: its row i's logits plus W2 W1[previous draft] (the pending token first), then the argmax.
+fn markov(x: Enc, streams: usize, n: u32, depth: u32) !void {
+    const d = x.d;
+    const s = &d.s;
+    const e = x.e;
+    for (0..depth) |i| {
+        // step i's previous token: the pending one (each block's first id), then step i - 1's pick
+        switch (d.w.w2) {
+            .codes => x.pipe("lfm2_markov_scan"),
+            .bf16 => x.pipe("lfm2_markov_scan_bf16"),
+        }
+        e.setBuffer(s.logits, i * c.vocab * 2, 0);
+        e.setBuffer(d.w.w1, 0, 1);
+        e.setBuffer(switch (d.w.w2) {
+            .codes => |m| m.w,
+            .bf16 => |m| m.w,
+        }, switch (d.w.w2) {
+            .codes => |m| m.w_off,
+            .bf16 => 0,
+        }, 2);
+        if (i == 0) e.setBuffer(s.ids, 0, 3) else e.setBuffer(s.picks, (i - 1) * ds.pass_rows * @sizeOf(Pick), 3);
+        const args = MarkovArgs{ .stride = n * c.vocab, .rank = d.config.rank, .vocab = c.vocab, .prev_stride = if (i == 0) n else @sizeOf(Pick) / 4 };
+        e.setBytes(std.mem.asBytes(&args), 4);
+        e.setBuffer(s.best, 0, 5);
+        e.setBuffer(s.at, 0, 6);
+        if (d.w.w2 == .codes) {
+            e.setBuffer(d.w.w2.codes.scales, d.w.w2.codes.s_off, 7);
+            e.setBuffer(d.w.w2.codes.biases, d.w.w2.codes.b_off, 8);
+        }
+        e.dispatchGroups(mtl.Size.of(scan_groups, streams, 1), mtl.Size.of(256, 1, 1));
+        x.pipe("lfm2_markov_pick");
+        e.setBuffer(s.best, 0, 0);
+        e.setBuffer(s.at, 0, 1);
+        e.setValue(@as(u32, scan_groups), 2);
+        e.setBuffer(s.picks, i * ds.pass_rows * @sizeOf(Pick), 3);
+        e.dispatchGroups(mtl.Size.of(streams, 1, 1), mtl.Size.of(256, 1, 1));
+    }
+}
diff --git a/zig/src/families/lfm2_moe/dspark_config.zig b/zig/src/families/lfm2_moe/dspark_config.zig
new file mode 100644
index 0000000000..68acc6d30d
--- /dev/null
+++ b/zig/src/families/lfm2_moe/dspark_config.zig
@@ -0,0 +1,142 @@
+//! LiquidAI's DSpark drafter for LFM2.5-24B-A2B: its config admitted, any other shape refused with its reason.
+const std = @import("std");
+const c = @import("config.zig");
+
+/// The geometry the drafter's kernels take: the target's attention shape, five taps at most eight layers.
+pub const Config = struct {
+    taps: [8]u32 = @splat(0),
+    tap_count: u32,
+    layers: u32,
+    intermediate: u32,
+    /// Rows a block takes: the pending token and block - 1 mask tokens, one draft a row.
+    block: u32,
+    mask: u32,
+    rank: u32,
+    theta: f32,
+
+    pub fn read(gpa: std.mem.Allocator, io: std.Io, dir: []const u8) !Config {
+        const path = try std.fs.path.join(gpa, &.{ dir, "config.json" });
+        defer gpa.free(path);
+        const bytes = try std.Io.Dir.cwd().readFileAlloc(io, path, gpa, .limited(1 << 20));
+        defer gpa.free(bytes);
+        return parse(gpa, bytes);
+    }
+
+    pub fn parse(gpa: std.mem.Allocator, bytes: []const u8) !Config {
+        var parsed = try std.json.parseFromSlice(std.json.Value, gpa, bytes, .{});
+        defer parsed.deinit();
+        const o = if (parsed.value == .object) parsed.value.object else return error.BadDraftConfig;
+        const archs = o.get("architectures") orelse return error.BadDraftConfig;
+        if (archs != .array or archs.array.items.len != 1 or archs.array.items[0] != .string) return error.BadDraftConfig;
+        if (!std.mem.eql(u8, archs.array.items[0].string, "Lfm2DSparkDraftModel")) return error.NotLfmDSpark;
+        const d = if (o.get("dflash_config")) |v| (if (v == .object) v.object else return error.BadDraftConfig) else return error.BadDraftConfig;
+        var out: Config = .{
+            .tap_count = 0,
+            .layers = try small(o, "num_hidden_layers"),
+            .intermediate = try small(o, "intermediate_size"),
+            .block = try small(o, "block_size"),
+            .mask = try small(d, "mask_token_id"),
+            .rank = try small(o, "markov_rank"),
+            .theta = @floatCast(try number(o, "rope_theta")),
+        };
+        // the target's widths: the drafter shares its embedding, head and attention kernels
+        if (try small(o, "hidden_size") != c.hidden or try small(o, "vocab_size") != c.vocab) return error.DraftForAnotherTarget;
+        if (try small(d, "num_target_layers") != c.layers) return error.DraftForAnotherTarget;
+        const heads = try small(o, "num_attention_heads");
+        const kv = try small(o, "num_key_value_heads");
+        if (heads != c.query_heads or kv != c.kv_heads or try small(o, "head_dim") != c.head_dim) return error.UnsupportedDraftShape;
+        if (@as(f32, @floatCast(try number(o, "rms_norm_eps"))) != c.eps) return error.UnsupportedDraftShape;
+        const taps = d.get("target_layer_ids") orelse return error.BadDraftConfig;
+        if (taps != .array or taps.array.items.len == 0 or taps.array.items.len > out.taps.len) return error.BadDraftConfig;
+        for (taps.array.items, 0..) |t, i| {
+            if (t != .integer or t.integer < 0) return error.BadDraftConfig;
+            if (t.integer >= c.layers) return error.DraftForAnotherTarget;
+            out.taps[i] = @intCast(t.integer);
+        }
+        out.tap_count = @intCast(taps.array.items.len);
+        try kinds(o, out.layers);
+        // the block's MLP is the fixed SiLU gate
+        const act = o.get("hidden_act") orelse return error.BadDraftConfig;
+        if (act != .string or !std.mem.eql(u8, act.string, "silu")) return error.UnsupportedDraftActivation;
+        // the vendored defaults decide the block: non-causal attention, interleaved RoPE, a plain Markov head
+        if (o.get("is_causal") != null) return error.UnsupportedDraftMask;
+        const neox = o.get("rope_is_neox_style") orelse return error.BadDraftConfig;
+        if (neox != .bool or neox.bool) return error.UnsupportedDraftRope;
+        const head = o.get("markov_head_type") orelse return error.BadDraftConfig;
+        if (head != .string or !std.mem.eql(u8, head.string, "vanilla")) return error.UnsupportedMarkovHead;
+        if (o.get("sample_from_anchor")) |v| if (v != .bool or !v.bool) return error.UnsupportedDraftAnchor;
+        if (out.layers == 0 or out.layers > 8 or out.block < 2 or out.block > 16) return error.UnsupportedDraftShape;
+        if (out.intermediate == 0 or out.intermediate % 64 != 0 or out.rank == 0 or out.rank > 256 or out.rank % 64 != 0) return error.UnsupportedDraftShape;
+        if (out.mask >= c.vocab or !std.math.isFinite(out.theta) or !(out.theta > 0)) return error.BadDraftConfig;
+        return out;
+    }
+};
+
+/// Every layer full attention (the block's mask has no sliding window).
+fn kinds(o: std.json.ObjectMap, layers: u32) !void {
+    const v = o.get("layer_types") orelse return;
+    if (v != .array or v.array.items.len != layers) return error.BadDraftConfig;
+    for (v.array.items) |k| if (k != .string or !std.mem.eql(u8, k.string, "full_attention")) return error.UnsupportedDraftMask;
+}
+
+fn small(o: std.json.ObjectMap, key: []const u8) !u32 {
+    const v = o.get(key) orelse return error.BadDraftConfig;
+    if (v != .integer or v.integer < 0 or v.integer > std.math.maxInt(u32)) return error.BadDraftConfig;
+    return @intCast(v.integer);
+}
+
+fn number(o: std.json.ObjectMap, key: []const u8) !f64 {
+    const v = o.get(key) orelse return error.BadDraftConfig;
+    return switch (v) {
+        .integer => |i| @floatFromInt(i),
+        .float => |f| f,
+        else => error.BadDraftConfig,
+    };
+}
+
+/// LiquidAI/LFM2.5-24B-A2B-DSpark's config.json at e052e5b1dd10, as released.
+pub const stock =
+    \\{"architectures":["Lfm2DSparkDraftModel"],"model_type":"qwen3","dtype":"bfloat16","hidden_size":2048,
+    \\"num_hidden_layers":5,"num_attention_heads":32,"num_key_value_heads":8,"head_dim":64,"intermediate_size":6144,
+    \\"hidden_act":"silu","rms_norm_eps":1e-05,"vocab_size":128000,"rope_theta":10000000.0,
+    \\"max_position_embeddings":131072,"layer_types":["full_attention","full_attention","full_attention",
+    \\"full_attention","full_attention"],"block_size":9,"dflash_config":{"mask_token_id":125017,
+    \\"target_layer_ids":[2,10,18,26,34],"num_target_layers":40},"markov_rank":256,"rope_is_neox_style":false,
+    \\"enable_confidence_head":true,"markov_head_type":"vanilla"}
+;
+
+fn edited(from: []const u8, to: []const u8) !Config {
+    const a = std.testing.allocator;
+    const text = try std.mem.replaceOwned(u8, a, stock, from, to);
+    defer a.free(text);
+    return Config.parse(a, text);
+}
+
+test "lfm2 dspark: the released config is admitted with its taps, block, mask token and Markov rank" {
+    const cfg = try Config.parse(std.testing.allocator, stock);
+    try std.testing.expectEqualSlices(u32, &.{ 2, 10, 18, 26, 34 }, cfg.taps[0..cfg.tap_count]);
+    try std.testing.expectEqual(@as(u32, 5), cfg.layers);
+    try std.testing.expectEqual(@as(u32, 9), cfg.block);
+    try std.testing.expectEqual(@as(u32, 125017), cfg.mask);
+    try std.testing.expectEqual(@as(u32, 256), cfg.rank);
+    try std.testing.expectEqual(@as(u32, 6144), cfg.intermediate);
+    try std.testing.expectEqual(@as(f32, 1e7), cfg.theta);
+}
+
+test "lfm2 dspark: other drafters and shapes are refused with their reason" {
+    try std.testing.expectError(error.NotLfmDSpark, edited("Lfm2DSparkDraftModel", "DFlashDraftModel"));
+    try std.testing.expectError(error.DraftForAnotherTarget, edited("\"hidden_size\":2048", "\"hidden_size\":4096"));
+    try std.testing.expectError(error.DraftForAnotherTarget, edited("\"num_target_layers\":40", "\"num_target_layers\":24"));
+    try std.testing.expectError(error.DraftForAnotherTarget, edited("26,34]", "26,44]"));
+    try std.testing.expectError(error.UnsupportedDraftShape, edited("\"head_dim\":64", "\"head_dim\":128"));
+    try std.testing.expectError(error.UnsupportedDraftActivation, edited("\"silu\"", "\"gelu\""));
+    try std.testing.expectError(error.UnsupportedDraftRope, edited("\"rope_is_neox_style\":false", "\"rope_is_neox_style\":true"));
+    try std.testing.expectError(error.UnsupportedMarkovHead, edited("\"vanilla\"", "\"gated\""));
+    try std.testing.expectError(error.UnsupportedDraftMask, edited("\"full_attention\"]", "\"sliding_attention\"]"));
+    try std.testing.expectError(error.UnsupportedDraftMask, edited("\"block_size\"", "\"is_causal\":true,\"block_size\""));
+    try std.testing.expectError(error.UnsupportedDraftAnchor, edited("\"block_size\"", "\"sample_from_anchor\":false,\"block_size\""));
+    try std.testing.expectError(error.UnsupportedDraftShape, edited("\"block_size\":9", "\"block_size\":17"));
+    try std.testing.expectError(error.UnsupportedDraftShape, edited("\"markov_rank\":256", "\"markov_rank\":512"));
+    try std.testing.expectError(error.BadDraftConfig, edited("10000000.0", "1e100"));
+    try std.testing.expectError(error.BadDraftConfig, edited("\"mask_token_id\":125017", "\"mask_token_id\":128000"));
+}
diff --git a/zig/src/families/lfm2_moe/dspark_quant.zig b/zig/src/families/lfm2_moe/dspark_quant.zig
new file mode 100644
index 0000000000..a34b52dd20
--- /dev/null
+++ b/zig/src/families/lfm2_moe/dspark_quant.zig
@@ -0,0 +1,118 @@
+//! BF16 drafter rows quantized at load to MLX's affine codes in groups of 64, the layout core/tile_qmm reads.
+const std = @import("std");
+
+/// MLX's affine codes of 64 bf16 values at `bits`: bias the larger edge, scale |edge| / round(|edge| / step).
+pub fn group(x: []const u16, bits: u8, codes: []u8, scale: *u16, bias: *u16) void {
+    var lo: f32 = std.math.inf(f32);
+    var hi: f32 = -std.math.inf(f32);
+    for (x) |v| {
+        lo = @min(lo, toF32(v));
+        hi = @max(hi, toF32(v));
+    }
+    const bins: f32 = @floatFromInt((@as(u32, 1) << @intCast(bits)) - 1);
+    const step = @max(hi - lo, 1e-7) / bins;
+    const from_min = @abs(lo) > @abs(hi);
+    const edge = if (from_min) lo else hi;
+    const q0 = @round(@abs(edge) / step);
+    const s_f: f32 = if (q0 == 0) step else (if (from_min) @abs(edge) else -@abs(edge)) / q0;
+    scale.* = toBf16(s_f);
+    bias.* = toBf16(if (q0 == 0) lo else edge);
+    const s = toF32(scale.*);
+    const b = toF32(bias.*);
+    @memset(codes, 0);
+    for (x, 0..) |v, i| {
+        const q: u8 = @intFromFloat(std.math.clamp(@round((toF32(v) - b) / s), 0, bins));
+        if (bits == 8) codes[i] = q else codes[i / 2] |= q << @intCast((i % 2) * 4);
+    }
+}
+
+pub fn toF32(v: u16) f32 {
+    return @bitCast(@as(u32, v) << 16);
+}
+
+/// Round to nearest even, as MLX casts.
+pub fn toBf16(f: f32) u16 {
+    const b: u32 = @bitCast(f);
+    if ((b & 0x7f80_0000) == 0x7f80_0000) return @truncate(b >> 16);
+    return @truncate((b + 0x7fff + ((b >> 16) & 1)) >> 16);
+}
+
+/// A matrix's codes [n][k * bits / 8], scales and biases [n][k / 64], each written by one thread's rows.
+pub const Job = struct {
+    src: []const u16,
+    k: usize,
+    bits: u8,
+    codes: []u8,
+    scales: []u16,
+    biases: []u16,
+    fn run(j: Job, from: usize, to: usize) void {
+        const groups = j.k / 64;
+        const per = 64 * @as(usize, j.bits) / 8;
+        for (from..to) |r| for (0..groups) |g| {
+            const at = r * groups + g;
+            group(j.src[r * j.k + g * 64 ..][0..64], j.bits, j.codes[at * per ..][0..per], &j.scales[at], &j.biases[at]);
+        };
+    }
+
+    /// The job over its rows on every CPU (at most 16 threads).
+    pub fn all(j: Job, gpa: std.mem.Allocator, rows: usize) !void {
+        const threads = @min(std.Thread.getCpuCount() catch 1, 16);
+        const per = (rows + threads - 1) / threads;
+        const handles = try gpa.alloc(std.Thread, threads);
+        defer gpa.free(handles);
+        var spawned: usize = 0;
+        defer for (handles[0..spawned]) |h| h.join();
+        var at: usize = 0;
+        while (at < rows) : (at += per) {
+            handles[spawned] = try std.Thread.spawn(.{}, run, .{ j, at, @min(rows, at + per) });
+            spawned += 1;
+        }
+    }
+};
+
+/// Head `h`'s interleaved RoPE pairs (2i, 2i + 1) as half-split pairs (i, i + dim / 2): row h * dim + j's source.
+pub fn halfSplit(row: usize, dim: usize) usize {
+    const h = row / dim;
+    const j = row % dim;
+    const half = dim / 2;
+    return h * dim + if (j < half) 2 * j else 2 * (j - half) + 1;
+}
+
+test "lfm2 dspark: 4- and 8-bit codes keep the larger edge exact, as MLX quantizes" {
+    var x: [64]u16 = undefined;
+    for (&x, 0..) |*v, i| v.* = toBf16(@as(f32, @floatFromInt(i)) * 0.125 - 2.0);
+    for ([_]u8{ 4, 8 }) |bits| {
+        var codes: [64]u8 = undefined;
+        var s: u16 = undefined;
+        var b: u16 = undefined;
+        group(&x, bits, codes[0 .. 64 * @as(usize, bits) / 8], &s, &b);
+        try std.testing.expect(toF32(s) < 0 and toF32(b) == 5.875); // the max is the edge: codes descend from it
+        const last: u8 = if (bits == 8) codes[63] else codes[31] >> 4;
+        try std.testing.expectEqual(@as(u8, 0), last);
+        for (x, 0..) |v, i| {
+            const q: u8 = if (bits == 8) codes[i] else (codes[i / 2] >> @intCast((i % 2) * 4)) & 0xf;
+            const back = toF32(s) * @as(f32, @floatFromInt(q)) + toF32(b);
+            try std.testing.expect(@abs(back - toF32(v)) <= @abs(toF32(s)) * 0.51);
+        }
+    }
+}
+
+test "lfm2 dspark: half-split rows rotated by the half-split rule equal interleaved pairs rotated, row for row" {
+    const dim = 64;
+    var x: [2 * dim]f32 = undefined;
+    for (&x, 0..) |*v, i| v.* = @sin(@as(f32, @floatFromInt(i)) * 0.37) * 3;
+    var moved: [2 * dim]f32 = undefined;
+    for (&moved, 0..) |*v, r| v.* = x[halfSplit(r, dim)];
+    const pos: f32 = 1234;
+    for (0..2) |h| for (0..dim / 2) |i| {
+        const angle = pos * std.math.pow(f32, 1e7, -@as(f32, @floatFromInt(i)) / (dim / 2));
+        const cs = @cos(angle);
+        const sn = @sin(angle);
+        const a = x[h * dim + 2 * i];
+        const b = x[h * dim + 2 * i + 1];
+        const l = moved[h * dim + i];
+        const r = moved[h * dim + i + dim / 2];
+        try std.testing.expectEqual(a * cs - b * sn, l * cs - r * sn);
+        try std.testing.expectEqual(a * sn + b * cs, l * sn + r * cs);
+    };
+}
diff --git a/zig/src/families/lfm2_moe/dspark_test.zig b/zig/src/families/lfm2_moe/dspark_test.zig
index d220b9ea66..9ed422ac07 100644
--- a/zig/src/families/lfm2_moe/dspark_test.zig
+++ b/zig/src/families/lfm2_moe/dspark_test.zig
@@ -1,17 +1,21 @@
-//! The DSpark drafter's kernels on the GPU against host references: the target's taps.
+//! The DSpark drafter's kernels on the GPU against host references: taps, the Markov step, half-split RoPE.
 const std = @import("std");
 const mtl = @import("metal");
 const c = @import("config.zig");
 const kernels = @import("kernels.zig");
+const quant = @import("dspark_quant.zig");
+const block = @import("dspark_block.zig");
+const ds = @import("dspark.zig");
+const Pick = @import("tree_round_gpu").contract.Pick;
 
 const shared = mtl.ResourceOptions.shared;
 
-const Rig = struct {
+pub const Rig = struct {
     device: mtl.Device,
     queue: mtl.Queue,
     k: kernels.Kernels,
 
-    fn init() !Rig {
+    pub fn init() !Rig {
         const device = mtl.Device.init() catch return error.SkipZigTest;
         errdefer device.deinit();
         const queue = try device.queue();
@@ -19,13 +23,13 @@ const Rig = struct {
         return .{ .device = device, .queue = queue, .k = try kernels.load(device) };
     }
 
-    fn deinit(r: *Rig) void {
+    pub fn deinit(r: *Rig) void {
         r.k.deinit();
         r.queue.deinit();
         r.device.deinit();
     }
 
-    fn buffer(r: *Rig, comptime T: type, n: usize) !mtl.Buffer {
+    pub fn buffer(r: *Rig, comptime T: type, n: usize) !mtl.Buffer {
         const b = try r.device.buffer(n * @sizeOf(T), shared);
         @memset(b.slice(u8, n * @sizeOf(T)), 0);
         return b;
@@ -45,15 +49,9 @@ const Rig = struct {
     }
 };
 
-/// Round to nearest even, as MLX casts.
-fn toBf16(f: f32) u16 {
-    const b: u32 = @bitCast(f);
-    return @truncate((b + 0x7fff + ((b >> 16) & 1)) >> 16);
-}
-
-fn noise(seed: u64, out: []u16, scale: f32) void {
+pub fn noise(seed: u64, out: []u16, scale: f32) void {
     var prng = std.Random.DefaultPrng.init(seed);
-    for (out) |*v| v.* = toBf16((prng.random().float(f32) * 2 - 1) * scale);
+    for (out) |*v| v.* = quant.toBf16((prng.random().float(f32) * 2 - 1) * scale);
 }
 
 test "lfm2 dspark: the tap kernel copies each row's hidden values into its tap's columns, the rest untouched" {
@@ -75,3 +73,180 @@ test "lfm2 dspark: the tap kernel copies each row's hidden values into its tap's
         for (got[(row * taps + 2) * c.hidden ..][0..c.hidden]) |v| try std.testing.expectEqual(@as(u16, 0), v);
     }
 }
+
+test "lfm2 dspark: a Markov step picks the argmax of bf16(base + bf16(W2 . W1[prev])) over every threadgroup" {
+    var r = try Rig.init();
+    defer r.deinit();
+    const rank = 256;
+    const vocab = 1300; // three scan threadgroups, the last one short
+    const streams = 4;
+    const groups = (vocab + 511) / 512;
+    const w1 = try r.buffer(u16, vocab * rank);
+    defer w1.deinit();
+    noise(11, w1.slice(u16, vocab * rank), 1);
+    const codes = try r.buffer(u8, vocab * rank);
+    defer codes.deinit();
+    for (codes.slice(u8, vocab * rank), 0..) |*q, i| q.* = @truncate(i *% 2654435761 >> 7);
+    const sc = try r.buffer(u16, vocab * rank / 64);
+    defer sc.deinit();
+    const bi = try r.buffer(u16, vocab * rank / 64);
+    defer bi.deinit();
+    noise(12, sc.slice(u16, vocab * rank / 64), 0.01);
+    noise(13, bi.slice(u16, vocab * rank / 64), 0.5);
+    // a token every second word (the picks' layout): inside W1, its last row, past it (a zero row), and a NaN row
+    const ids = try r.buffer(u32, 2 * streams);
+    defer ids.deinit();
+    @memcpy(ids.slice(u32, 2 * streams), &[_]u32{ 17, 9, vocab - 1, 9, vocab + 5, 0, 3, 3 });
+    const logits = try r.buffer(u16, streams * 2 * vocab);
+    defer logits.deinit();
+    noise(14, logits.slice(u16, streams * 2 * vocab), 4);
+    logits.slice(u16, streams * 2 * vocab)[3 * 2 * vocab + 700] = 0x7fc0;
+    const best = try r.buffer(f32, streams * groups);
+    defer best.deinit();
+    const at = try r.buffer(u32, streams * groups);
+    defer at.deinit();
+    const picks = try r.buffer(u32, 2 * streams);
+    defer picks.deinit();
+    const cb = r.queue.commandBuffer();
+    const e = cb.compute(.serial);
+    e.setPipeline(r.k.get("lfm2_markov_scan"));
+    for ([_]mtl.Buffer{ logits, w1, codes, ids }, 0..) |b, i| e.setBuffer(b, 0, i);
+    e.setValue([4]u32{ 2 * vocab, rank, vocab, 2 }, 4);
+    for ([_]mtl.Buffer{ best, at, sc, bi }, 5..) |b, i| e.setBuffer(b, 0, i);
+    e.dispatchGroups(mtl.Size.of(groups, streams, 1), mtl.Size.of(256, 1, 1));
+    e.setPipeline(r.k.get("lfm2_markov_pick"));
+    e.setBuffer(best, 0, 0);
+    e.setBuffer(at, 0, 1);
+    e.setValue(@as(u32, groups), 2);
+    e.setBuffer(picks, 0, 3);
+    e.dispatchGroups(mtl.Size.of(streams, 1, 1), mtl.Size.of(256, 1, 1));
+    e.end();
+    cb.commit();
+    cb.wait();
+    const got = picks.slice(u32, 2 * streams);
+    const base = logits.slice(u16, streams * 2 * vocab);
+    const id_list = ids.slice(u32, 2 * streams);
+    for (0..streams) |s| {
+        if (s == 3) { // the planted NaN: flagged
+            try std.testing.expectEqual(@as(u32, 1), got[2 * s + 1]);
+            continue;
+        }
+        try std.testing.expectEqual(@as(u32, 0), got[2 * s + 1]);
+        const id = id_list[2 * s];
+        var top: f64 = -std.math.inf(f64);
+        var mine: f64 = 0;
+        for (0..vocab) |v| {
+            var dot: f64 = 0;
+            for (0..rank) |i| {
+                const g = (v * rank + i) / 64;
+                const w = @as(f64, quant.toF32(sc.slice(u16, vocab * rank / 64)[g])) * @as(f64, @floatFromInt(codes.slice(u8, vocab * rank)[v * rank + i])) + quant.toF32(bi.slice(u16, vocab * rank / 64)[g]);
+                dot += w * (if (id < vocab) quant.toF32(w1.slice(u16, vocab * rank)[id * rank + i]) else 0);
+            }
+            const score: f64 = quant.toF32(quant.toBf16(quant.toF32(base[s * 2 * vocab + v]) + quant.toF32(quant.toBf16(@floatCast(dot)))));
+            top = @max(top, score);
+            if (v == got[2 * s]) mine = score;
+        }
+        // the pick is the best score, or within two bf16 steps of it where fp32 sums round apart
+        try std.testing.expect(got[2 * s] < vocab and mine >= top - @abs(top) * 0x1p-7);
+    }
+}
+
+test "lfm2 dspark: lfm2_qk on half-split rows and gains gives interleaved RoPE's keys, reordered" {
+    var r = try Rig.init();
+    defer r.deinit();
+    const hd = c.head_dim;
+    const pos: u32 = 777;
+    const theta: f32 = 1e7;
+    var k_il: [c.kv_heads * hd]u16 = undefined;
+    var gain_il: [hd]u16 = undefined;
+    noise(21, &k_il, 2);
+    noise(22, &gain_il, 1.5);
+    const q = try r.buffer(u16, c.query_heads * hd);
+    defer q.deinit();
+    const k = try r.buffer(u16, c.kv_heads * hd);
+    defer k.deinit();
+    const v = try r.buffer(u16, c.kv_heads * hd);
+    defer v.deinit();
+    const qn = try r.buffer(u16, hd);
+    defer qn.deinit();
+    const kn = try r.buffer(u16, hd);
+    defer kn.deinit();
+    for (k.slice(u16, c.kv_heads * hd), 0..) |*x, i| x.* = k_il[quant.halfSplit(i, hd)];
+    for (kn.slice(u16, hd), 0..) |*x, i| x.* = gain_il[quant.halfSplit(i, hd)];
+    @memset(qn.slice(u16, hd), quant.toBf16(1));
+    const cap = 1024;
+    const queries = try r.buffer(u16, c.query_heads * hd);
+    defer queries.deinit();
+    const keys = try r.buffer(u16, c.kv_heads * cap * hd);
+    defer keys.deinit();
+    const values = try r.buffer(u16, c.kv_heads * cap * hd);
+    defer values.deinit();
+    const Args = extern struct { len: u32, cap: u32, eps: f32, log2_theta: f32 };
+    const cb = r.queue.commandBuffer();
+    const e = cb.compute(.serial);
+    e.setPipeline(r.k.get("lfm2_qk"));
+    for ([_]mtl.Buffer{ q, k, v, qn, kn }, 0..) |b, i| e.setBuffer(b, 0, i);
+    const args = Args{ .len = pos, .cap = cap, .eps = c.eps, .log2_theta = std.math.log2(theta) };
+    e.setBytes(std.mem.asBytes(&args), 5);
+    for ([_]mtl.Buffer{ queries, keys, values }, 6..) |b, i| e.setBuffer(b, 0, i);
+    e.dispatchGroups(mtl.Size.of(c.query_heads + c.kv_heads, 1, 1), mtl.Size.of(32, 1, 1));
+    e.end();
+    cb.commit();
+    cb.wait();
+    const got = keys.slice(u16, c.kv_heads * cap * hd);
+    for (0..c.kv_heads) |h| {
+        var ss: f32 = 0;
+        for (0..hd) |i| ss += quant.toF32(k_il[h * hd + i]) * quant.toF32(k_il[h * hd + i]);
+        const inv = 1 / @sqrt(ss / hd + c.eps);
+        for (0..hd / 2) |i| {
+            const angle = @as(f32, pos) * std.math.pow(f32, theta, -@as(f32, @floatFromInt(i)) / (hd / 2));
+            const a = quant.toF32(k_il[h * hd + 2 * i]) * inv * quant.toF32(gain_il[2 * i]);
+            const b = quant.toF32(k_il[h * hd + 2 * i + 1]) * inv * quant.toF32(gain_il[2 * i + 1]);
+            const want = [2]f32{ a * @cos(angle) - b * @sin(angle), a * @sin(angle) + b * @cos(angle) };
+            const at = (h * cap + pos) * hd;
+            const have = [2]f32{ quant.toF32(got[at + i]), quant.toF32(got[at + i + hd / 2]) };
+            for (want, have) |w, x| try std.testing.expect(@abs(w - x) <= 0.02 * @max(1, @abs(w)));
+        }
+    }
+}
+
+/// lfm2_draft_ids on one pick (token, nonfinite flag) at a stride of 4 words: the id it wrote and the bad flag.
+fn draftIds(r: *Rig, pick: Pick) ![2]u32 {
+    const picks = try r.buffer(u32, 4);
+    defer picks.deinit();
+    const ids = try r.buffer(u32, 1);
+    defer ids.deinit();
+    const bad = try r.buffer(u32, 1);
+    defer bad.deinit();
+    picks.slice(u32, 4)[0] = pick.token;
+    picks.slice(u32, 4)[1] = pick.nonfinite;
+    try r.run("lfm2_draft_ids", &.{ picks, ids, bad }, [4]u32{ 4, 1, c.vocab, 0 }, 1, .{ 1, 1 });
+    return .{ ids.slice(u32, 1)[0], bad.slice(u32, 1)[0] };
+}
+
+test "lfm2 dspark: held ids carry a flagged or invalid pick as token 0 and the bad flag, a good pick untouched" {
+    var r = try Rig.init();
+    defer r.deinit();
+    try std.testing.expectEqual([2]u32{ 5, 0 }, try draftIds(&r, .{ .token = 5 }));
+    try std.testing.expectEqual([2]u32{ c.vocab - 1, 0 }, try draftIds(&r, .{ .token = c.vocab - 1 }));
+    for ([_]u32{ 1, 2, 4, 7 }) |kind| try std.testing.expectEqual([2]u32{ 0, 1 }, try draftIds(&r, .{ .token = 9, .nonfinite = kind }));
+    try std.testing.expectEqual([2]u32{ 0, 1 }, try draftIds(&r, .{ .token = std.math.maxInt(u32) }));
+    try std.testing.expectEqual([2]u32{ 0, 1 }, try draftIds(&r, .{ .token = c.vocab }));
+}
+
+test "lfm2 dspark: a settled hold refuses a NaN, infinity or invalid pick as the synchronous path does" {
+    var picks: [4 * ds.pass_rows]Pick = @splat(.{ .token = 3 });
+    var a: [4]u32 = undefined;
+    var b: [4]u32 = undefined;
+    const chains = [_][]u32{ &a, &b };
+    try block.copyPicks(&picks, &chains, &.{ 2, 2 });
+    try std.testing.expectEqualSlices(u32, &.{ 3, 3 }, a[0..2]);
+    const bad = [_]Pick{ .{ .token = 3, .nonfinite = 1 }, .{ .token = 3, .nonfinite = 2 }, .{ .token = 3, .nonfinite = 4 }, .{ .token = std.math.maxInt(u32) }, .{ .token = c.vocab } };
+    for (bad) |p| {
+        picks[ds.pass_rows + 1] = p; // the second block's second step
+        try std.testing.expectError(error.DraftNonfinite, block.copyPicks(&picks, &chains, &.{ 2, 2 }));
+        picks[ds.pass_rows + 1] = .{ .token = 3 };
+    }
+    picks[3 * ds.pass_rows] = .{ .nonfinite = 1 }; // a step past the block's depth is not read
+    try block.copyPicks(&picks, &chains, &.{ 2, 2 });
+}
diff --git a/zig/src/families/lfm2_moe/dspark_weights.zig b/zig/src/families/lfm2_moe/dspark_weights.zig
new file mode 100644
index 0000000000..11249916c2
--- /dev/null
+++ b/zig/src/families/lfm2_moe/dspark_weights.zig
@@ -0,0 +1,155 @@
+//! The DSpark drafter's weights: the released bf16 linears as stored, or on request quantized to 8-bit affine codes.
+const std = @import("std");
+const mtl = @import("metal");
+const c = @import("config.zig");
+const dc = @import("dspark_config.zig");
+const quant = @import("dspark_quant.zig");
+const ckpt = @import("../../core/checkpoint_metal.zig");
+const shards = @import("../../core/checkpoint.zig");
+const tile = @import("../../core/tile_qmm.zig");
+
+const shared = mtl.ResourceOptions.shared | mtl.ResourceOptions.untracked;
+
+/// An [n, k] bf16 matrix as released (rows only reordered for half-split RoPE where the checkpoint is read).
+pub const Bf16 = struct { w: mtl.Buffer, n: usize, k: usize };
+
+/// A linear: bf16 as stored (bits 0), or MLX affine codes at the loader's width.
+pub const Linear = union(enum) { bf16: Bf16, codes: tile.Matrix };
+
+/// A bf16 vector in its own buffer (norm gains; RoPE-paired ones in the half-split order the kernels rotate).
+pub const Vector = mtl.Buffer;
+
+pub const Layer = struct {
+    q: Linear,
+    k: Linear,
+    v: Linear,
+    o: Linear,
+    gate: Linear,
+    up: Linear,
+    down: Linear,
+    input_norm: Vector,
+    post_norm: Vector,
+    q_norm: Vector,
+    k_norm: Vector,
+};
+
+pub const Weights = struct {
+    fc: Linear,
+    hidden_norm: Vector,
+    norm: Vector,
+    layers: [8]Layer,
+    /// The Markov head: W1 [vocab, rank] bf16 as stored (rows gathered by token), W2 [vocab, rank] as the linears.
+    w1: mtl.Buffer,
+    w2: Linear,
+    owned: std.ArrayList(mtl.Buffer) = .empty,
+
+    pub fn deinit(w: *Weights, gpa: std.mem.Allocator) void {
+        for (w.owned.items) |b| b.deinit();
+        w.owned.deinit(gpa);
+    }
+
+    /// Every buffer the weights hold, for a residency set.
+    pub fn buffers(w: *const Weights) []const mtl.Buffer {
+        return w.owned.items;
+    }
+};
+
+const Loader = struct {
+    gpa: std.mem.Allocator,
+    device: mtl.Device,
+    check: *const ckpt.Checkpoint,
+    owned: *std.ArrayList(mtl.Buffer),
+    bits: u8,
+
+    fn buffer(l: Loader, bytes: usize) !mtl.Buffer {
+        const b = try l.device.buffer(bytes, shared);
+        errdefer b.deinit();
+        try l.owned.append(l.gpa, b);
+        return b;
+    }
+
+    fn tensor(l: Loader, name: []const u8, shape: []const usize) !ckpt.Tensor {
+        const t = try l.check.get(name);
+        if (t.dtype != .bf16 or t.rank != shape.len or !std.mem.eql(usize, t.shape[0..t.rank], shape)) {
+            std.log.err("{s}: unexpected DSpark tensor dtype or shape", .{name});
+            return error.BadDraftWeight;
+        }
+        return t;
+    }
+
+    /// A bf16 vector copied out, its pairs reordered for half-split RoPE when `paired`.
+    fn vector(l: Loader, name: []const u8, len: usize, paired: bool) !Vector {
+        const src = (try l.tensor(name, &.{len})).host(u16);
+        const b = try l.buffer(len * 2);
+        const dst = b.slice(u16, len);
+        for (dst, 0..) |*v, i| v.* = src[if (paired) quant.halfSplit(i, len) else i];
+        return b;
+    }
+
+    /// An [n, k] bf16 matrix as it is or as affine codes; rows reordered for half-split RoPE when `paired`.
+    fn matrix(l: Loader, name: []const u8, n: usize, k: usize, paired: bool) !Linear {
+        const t = try l.tensor(name, &.{ n, k });
+        var rows = t.host(u16);
+        var moved: ?[]u16 = null;
+        defer if (moved) |m| l.gpa.free(m);
+        if (paired) {
+            const m = try l.gpa.alloc(u16, n * k);
+            moved = m;
+            for (0..n) |r| @memcpy(m[r * k ..][0..k], rows[quant.halfSplit(r, c.head_dim) * k ..][0..k]);
+            rows = m;
+        }
+        if (l.bits == 0) {
+            const b = try l.buffer(n * k * 2);
+            @memcpy(b.slice(u16, n * k), rows);
+            return .{ .bf16 = .{ .w = b, .n = n, .k = k } };
+        }
+        const codes = try l.buffer(n * k * l.bits / 8);
+        const scales = try l.buffer(n * k / 64 * 2);
+        const biases = try l.buffer(n * k / 64 * 2);
+        const job: quant.Job = .{ .src = rows, .k = k, .bits = l.bits, .codes = codes.slice(u8, n * k * l.bits / 8), .scales = scales.slice(u16, n * k / 64), .biases = biases.slice(u16, n * k / 64) };
+        try job.all(l.gpa, n);
+        return .{ .codes = .{ .w = codes, .scales = scales, .biases = biases, .n = n, .k = k, .bits = l.bits } };
+    }
+};
+
+fn part(buf: []u8, layer: usize, name: []const u8) ![]const u8 {
+    return std.fmt.bufPrint(buf, "layers.{d}.{s}.weight", .{ layer, name });
+}
+
+/// The drafter's checkpoint read as released (`bits` 0) or quantized to 8-bit codes; its own buffers are freed after.
+pub fn load(gpa: std.mem.Allocator, device: mtl.Device, io: std.Io, dir: []const u8, cfg: *const dc.Config, bits: u8) !Weights {
+    if (bits != 0 and bits != 8) return error.UnsupportedDraftBits;
+    var check = ckpt.Checkpoint.init(gpa);
+    defer check.deinit();
+    const files = try shards.shardFiles(gpa, io, dir);
+    defer shards.freeShardFiles(gpa, files);
+    for (files) |path| try check.addFile(device, path, "");
+    var w: Weights = undefined;
+    w.owned = .empty;
+    errdefer w.deinit(gpa);
+    const l: Loader = .{ .gpa = gpa, .device = device, .check = &check, .owned = &w.owned, .bits = bits };
+    const qw = c.query_heads * c.head_dim;
+    const kw = c.kv_heads * c.head_dim;
+    w.fc = try l.matrix("fc.weight", c.hidden, cfg.tap_count * c.hidden, false);
+    w.hidden_norm = try l.vector("hidden_norm.weight", c.hidden, false);
+    w.norm = try l.vector("norm.weight", c.hidden, false);
+    var name: [128]u8 = undefined;
+    for (w.layers[0..cfg.layers], 0..) |*ly, i| {
+        ly.q = try l.matrix(try part(&name, i, "self_attn.q_proj"), qw, c.hidden, true);
+        ly.k = try l.matrix(try part(&name, i, "self_attn.k_proj"), kw, c.hidden, true);
+        ly.v = try l.matrix(try part(&name, i, "self_attn.v_proj"), kw, c.hidden, false);
+        ly.o = try l.matrix(try part(&name, i, "self_attn.o_proj"), c.hidden, qw, false);
+        ly.gate = try l.matrix(try part(&name, i, "mlp.gate_proj"), cfg.intermediate, c.hidden, false);
+        ly.up = try l.matrix(try part(&name, i, "mlp.up_proj"), cfg.intermediate, c.hidden, false);
+        ly.down = try l.matrix(try part(&name, i, "mlp.down_proj"), c.hidden, cfg.intermediate, false);
+        ly.input_norm = try l.vector(try part(&name, i, "input_layernorm"), c.hidden, false);
+        ly.post_norm = try l.vector(try part(&name, i, "post_attention_layernorm"), c.hidden, false);
+        ly.q_norm = try l.vector(try part(&name, i, "self_attn.q_norm"), c.head_dim, true);
+        ly.k_norm = try l.vector(try part(&name, i, "self_attn.k_norm"), c.head_dim, true);
+    }
+    const w1 = (try l.tensor("markov_head.markov_w1.weight", &.{ c.vocab, cfg.rank })).host(u16);
+    w.w1 = try l.buffer(c.vocab * cfg.rank * 2);
+    @memcpy(w.w1.slice(u16, c.vocab * cfg.rank), w1);
+    w.w2 = try l.matrix("markov_head.markov_w2.weight", c.vocab, cfg.rank, false);
+    return w;
+}
diff --git a/zig/src/families/lfm2_moe/forward.zig b/zig/src/families/lfm2_moe/forward.zig
index 7b63833192..51408e2fd4 100644
--- a/zig/src/families/lfm2_moe/forward.zig
+++ b/zig/src/families/lfm2_moe/forward.zig
@@ -118,7 +118,17 @@ pub fn matrix(w: row.Weights) tile.Matrix {
     return .{ .w = w.w, .w_off = w.w_off, .scales = w.scales, .s_off = w.s_off, .biases = w.biases, .b_off = w.b_off, .n = w.n, .k = w.k, .bits = w.bits };
 }
 
+/// A window's held drafts on the device: `count` tokens at `src` + `off`, `stride` words apart, into ids from `row`.
+pub const Held = struct { row: usize, src: Buffer, off: usize, stride: u32, count: u32 };
+/// A GPU event the forward waits on before it reads held drafts, and the value it waits for.
+pub const Wait = struct { event: mtl.Event, value: u64 };
+
 pub fn run(m: *Model, s: *st.Scratch, segments: []const Segment, tokens: []const u32, record: bool, head: Head) !void {
+    return runHeld(m, s, segments, tokens, record, head, &.{}, null);
+}
+
+/// `run` with held drafts copied into the rows' ids on the GPU first (after `wait`): their host ids are ignored.
+pub fn runHeld(m: *Model, s: *st.Scratch, segments: []const Segment, tokens: []const u32, record: bool, head: Head, held: []const Held, wait: ?Wait) !void {
     if (tokens.len == 0 or tokens.len > s.rows or (record and tokens.len > st.batch_rows)) return error.LfmRowsExceeded;
     var total: usize = 0;
     for (segments) |seg| {
@@ -131,10 +141,20 @@ pub fn run(m: *Model, s: *st.Scratch, segments: []const Segment, tokens: []const
     const pool = mtl.objc.Pool.push();
     defer pool.pop();
     const cb = m.queue.commandBuffer();
+    if (wait) |w| cb.waitForEvent(w.event, w.value);
     const prompt = (!record and head == .last) or total >= tile_rows;
     const e = cb.compute(.serial);
     const plan = if (segs.batched(record, segments.len)) segs.prepare(e, s, segments) else null;
     const enc = Encoder{ .e = e, .m = m, .s = s, .prompt = prompt, .record = record, .plan = plan };
+    if (held.len > 0) @memset(s.bad.contents()[0..4], 0);
+    for (held) |h| {
+        enc.pipe("lfm2_draft_ids");
+        e.setBuffer(h.src, h.off, 0);
+        e.setValue([4]u32{ h.stride, h.count, c.vocab, 0 }, 1);
+        e.setBuffer(s.ids, h.row * 4, 2);
+        e.setBuffer(s.bad, 0, 3);
+        enc.threads(.{ h.count, 1, 1 }, .{ 32, 1, 1 });
+    }
     const embedding = m.weights.embedding;
     e.setPipeline(m.kernels.embed(embedding.bits));
     e.setBuffer(s.ids, 0, 0);
@@ -180,6 +200,7 @@ pub fn run(m: *Model, s: *st.Scratch, segments: []const Segment, tokens: []const
         std.debug.print("LFM2 forward: {s}\n", .{msg});
         return error.GpuFailed;
     }
+    if (held.len > 0 and std.mem.readInt(u32, s.bad.contents()[0..4], .little) != 0) return error.DraftNonfinite;
     var base: usize = 0;
     for (segments) |seg| {
         const logit_row = if (head == .all) base + seg.rows - 1 else 0;
diff --git a/zig/src/families/lfm2_moe/kernels.zig b/zig/src/families/lfm2_moe/kernels.zig
index 61af45f4c8..7d7658cce4 100644
--- a/zig/src/families/lfm2_moe/kernels.zig
+++ b/zig/src/families/lfm2_moe/kernels.zig
@@ -16,6 +16,8 @@ const names = [_][:0]const u8{
     "lfm2_attn_mma",
     "lfm2_attn_mma_r2",
     "lfm2_attn_merge",
+    "lfm2_attn_block",
+    "lfm2_attn_block_merge",
     "lfm2_route_logits",
     "lfm2_route_select",
     "lfm2_swiglu",
@@ -28,6 +30,12 @@ const names = [_][:0]const u8{
     "lfm2_attn_segs",
     "lfm2_attn_merge_segs",
     "lfm2_tap",
+    "lfm2_markov_scan",
+    "lfm2_markov_scan_bf16",
+    "lfm2_bf16_rows",
+    "lfm2_bf16_mma",
+    "lfm2_markov_pick",
+    "lfm2_draft_ids",
 };
 
 pub const Kernels = struct {
diff --git a/zig/src/families/lfm2_moe/lfm2_moe.zig b/zig/src/families/lfm2_moe/lfm2_moe.zig
index 97f9cbd5d8..8f861e31b4 100644
--- a/zig/src/families/lfm2_moe/lfm2_moe.zig
+++ b/zig/src/families/lfm2_moe/lfm2_moe.zig
@@ -7,3 +7,7 @@ pub const state = @import("state.zig");
 pub const forward = @import("forward.zig");
 pub const backend = @import("backend.zig");
 pub const snapshot = @import("snapshot.zig");
+pub const dspark = @import("dspark.zig");
+pub const dspark_config = @import("dspark_config.zig");
+pub const dspark_block = @import("dspark_block.zig");
+pub const dspark_quant = @import("dspark_quant.zig");
diff --git a/zig/src/families/lfm2_moe/state.zig b/zig/src/families/lfm2_moe/state.zig
index 1bc749ae95..883f670fbe 100644
--- a/zig/src/families/lfm2_moe/state.zig
+++ b/zig/src/families/lfm2_moe/state.zig
@@ -119,6 +119,7 @@ pub const Scratch = struct {
     memory: Storage,
     rows: usize,
     ids: mtl.Buffer,
+    bad: mtl.Buffer, // set by lfm2_draft_ids when a held pick is flagged nonfinite or past the vocabulary
     h: mtl.Buffer,
     x: mtl.Buffer,
     r: mtl.Buffer,
@@ -170,6 +171,7 @@ pub const Scratch = struct {
         const mem = &out.memory;
         const slots = rows * c.topk;
         out.ids = try mem.alloc(rows * 4);
+        out.bad = try mem.alloc(4);
         inline for (.{ "h", "x", "r", "y", "q" }) |name| @field(out, name) = try mem.alloc(rows * c.hidden * 2);
         out.queries = try mem.alloc((rows + attn_rows) * c.hidden * 2); // a prompt attention tile reads attn_rows from its first
         out.bcx = try mem.alloc(rows * 3 * c.hidden * 2);
diff --git a/zig/src/native/cuda_options.zig b/zig/src/native/cuda_options.zig
index d6a6eefe28..0c07152bdb 100644
--- a/zig/src/native/cuda_options.zig
+++ b/zig/src/native/cuda_options.zig
@@ -36,6 +36,10 @@ pub fn set(comptime F: type, o: api.Open, opts: *F.Options, problem: *[]const u8
             return false;
         };
     }
+    if (o.drafter_bits_given and o.drafter_bits == 8) {
+        problem.* = "--drafter-bits 8: only LFM2.5-24B-A2B's Metal DSpark drafter takes it; this family takes 0 (bf16) or 4";
+        return false;
+    }
     if (comptime @hasField(F.Options, "drafter")) opts.drafter = o.drafter;
     if (comptime @hasField(F.Options, "drafter_bits")) opts.drafter_bits = o.drafter_bits;
     if (@hasField(F.Options, "kv8")) opts.kv8 = o.kv8;
diff --git a/zig/src/native/lfm2_moe.zig b/zig/src/native/lfm2_moe.zig
index 5340d807de..24d2347d68 100644
--- a/zig/src/native/lfm2_moe.zig
+++ b/zig/src/native/lfm2_moe.zig
@@ -1,4 +1,4 @@
-//! LFM2-MoE served by the existing lane host and scheduler.
+//! LFM2-MoE served by the existing lane host and scheduler, with LiquidAI's DSpark drafter from --drafter.
 const std = @import("std");
 const mtl = @import("metal");
 const api = @import("engine_api");
@@ -8,11 +8,16 @@ const lanes = tf.lanes;
 const cache_fit = @import("cache_fit.zig");
 const metal_admit = @import("metal_admit.zig");
 
+/// --drafter loads LiquidAI's DSpark drafter (LiquidAI/LFM2.5-24B-A2B-DSpark) in front of the engine.
+pub const takes_drafter = true;
+
 const Host = struct {
     resident: ?mtl.resident.Resident = null,
     gpa: std.mem.Allocator,
     model: *q.Model,
     metal: *q.backend.Metal,
+    draft: ?*q.dspark.Drafter = null,
+    wrap: ?lanes.drafted.Drafted = null,
     warm: mtl.keepalive.Target = undefined, // the model's queue, for the lane host's idle ticker
     config: lanes.Config,
     clock: lanes.backend.WallClock,
@@ -25,7 +30,9 @@ const Host = struct {
         h.host.stop();
         if (h.cache) |*store| store.deinit();
         h.core.deinit();
+        if (h.wrap) |*w| w.deinit();
         mtl.resident.streams.drop(h);
+        if (h.draft) |d| d.deinit();
         h.config.deinit(h.gpa);
         h.metal.deinit();
         h.model.deinit();
@@ -35,6 +42,13 @@ const Host = struct {
 
 const cannot = "the native LFM2 engine cannot load this checkpoint ({s})";
 
+/// A refused open's backend, model and host, freed before it reports why.
+fn release(h: *Host) void {
+    h.metal.deinit();
+    h.model.deinit();
+    h.gpa.destroy(h);
+}
+
 pub fn open(a: std.mem.Allocator, gpa: std.mem.Allocator, io: std.Io, o: api.Open, problem: *[]const u8) !?api.Opened {
     const pool = mtl.objc.Pool.push();
     defer pool.pop();
@@ -65,18 +79,47 @@ pub fn open(a: std.mem.Allocator, gpa: std.mem.Allocator, io: std.Io, o: api.Ope
     const chunk = 2048;
     h.metal = try q.backend.Metal.init(gpa, model, .{ .capacity = window, .chunk = chunk, .streams = @max(o.lanes, 2) });
     errdefer h.metal.deinit();
-    const per_stream = q.state.cacheBytes(&model.config.attention, window);
+    h.draft = null;
+    h.wrap = null;
+    if (if (o.drafts) o.drafter else null) |dir| {
+        if (h.metal.width == 1) {
+            problem.* = "--drafter: LFM2 wider lanes failed the local exactness check; drafts require verified wider lanes";
+            release(h);
+            return null;
+        }
+        const bits: u8 = if (o.drafter_bits_given) o.drafter_bits else 0;
+        if (bits != 0 and bits != 8) {
+            problem.* = "--drafter-bits: the LFM2 DSpark drafter takes 0 (bf16 as released, the default) or 8 (8-bit codes quantized at load)";
+            release(h);
+            return null;
+        }
+        h.draft = q.dspark.Drafter.init(gpa, io, model, dir, .{ .capacity = window, .bits = bits }) catch |err| {
+            problem.* = try std.fmt.allocPrint(a, "the native LFM2 drafter cannot load {s} ({s}): it takes LiquidAI/LFM2.5-24B-A2B-DSpark", .{ dir, @errorName(err) });
+            release(h);
+            return null;
+        };
+    }
+    errdefer if (h.draft) |d| d.deinit();
+    // a stream's caches, and its drafter lane when one drafts
+    const per_stream = q.state.cacheBytes(&model.config.attention, window) + if (h.draft) |d| d.laneBytes(window) else 0;
     const served = try metal_admit.streams(a, "lfm2", per_stream, metal_admit.room(model.device), o, window, problem) orelse {
-        h.metal.deinit();
-        model.deinit();
-        gpa.destroy(h);
+        if (h.draft) |d| d.deinit();
+        release(h);
         return null;
     };
     h.metal.options.streams = @max(served, 2);
-    h.config = try lanes.Config.init(gpa, h.metal.facts(), q.state.window_rows, q.state.window_rows - 1);
+    if (h.draft) |d| {
+        h.wrap = try lanes.drafted.Drafted.init(gpa, h.metal.backend(), d.drafter());
+        // the verify copies the drafts on the GPU after the unwaited hold
+        h.metal.held_source = d.heldSource();
+        h.wrap.?.held_on_target = true;
+    }
+    errdefer if (h.wrap) |*w| w.deinit();
+    const facts = if (h.wrap) |*w| w.facts(h.metal.facts()) else h.metal.facts();
+    h.config = try lanes.Config.init(gpa, facts, q.state.window_rows, q.state.window_rows - 1);
     errdefer h.config.deinit(gpa);
     h.clock = .{ .io = io };
-    h.core = lanes.Engine.init(gpa, &h.config, h.metal.backend(), h.clock.clock());
+    h.core = lanes.Engine.init(gpa, &h.config, if (h.wrap) |*w| w.backend() else h.metal.backend(), h.clock.clock());
     errdefer h.core.deinit();
     h.host = api.LaneHost.init(gpa, io, &h.core, .{ .lanes = served, .context_window = @intCast(window), .prefill_step = chunk, .structures = true });
     h.cache = null;
@@ -97,8 +140,8 @@ pub fn open(a: std.mem.Allocator, gpa: std.mem.Allocator, io: std.Io, o: api.Ope
     if (plan.budget_bytes > 0) {
         const S = q.backend.Snaps;
         h.cache = api.prompt_cache.Store.init(gpa, .{
-            .ptr = h.metal,
-            .vtable = &.{ .bytes = S.bytes, .save = S.save, .restore = S.restore, .drop = S.drop },
+            .ptr = h,
+            .vtable = &.{ .bytes = Snaps.bytes, .save = Snaps.save, .restore = S.restore, .drop = Snaps.drop },
         }, .{ .chunk = chunk }, plan.budget_bytes);
         h.host.cache = &h.cache.?;
         h.host.info_.prompt_cache = true;
@@ -106,7 +149,40 @@ pub fn open(a: std.mem.Allocator, gpa: std.mem.Allocator, io: std.Io, o: api.Ope
     errdefer if (h.cache) |*store| store.deinit();
     try mtl.resident.streams.hold(h, io, "lfm2 moe");
     errdefer mtl.resident.streams.drop(h);
+    if (h.draft) |d| if (h.resident) |*r| {
+        const held = try d.buffers(gpa);
+        defer gpa.free(held);
+        r.add(held);
+    };
     h.host.keepalive_target = .{ .ctx = &h.warm, .tick = mtl.keepalive.Target.tick };
     try h.host.start();
+    if (h.draft) |d| {
+        const mode = if (d.options.bits == 8) "8-bit codes quantized at load (--drafter-bits 8), not the released bf16" else "bf16 matrices as released";
+        std.log.info("lfm2: DSpark drafts from --drafter, {d} a round at most, {s}", .{ d.config.block, mode });
+    }
     return .{ .engine = h.host.engine(), .close = Host.close, .ctx = h };
 }
+
+/// The prompt cache's copies of a stream: the target's state at a mark (backend.zig), and the drafter's context there.
+const Snaps = struct {
+    const S = q.backend.Snaps;
+    fn host(ptr: *anyopaque) *Host {
+        return @ptrCast(@alignCast(ptr));
+    }
+    fn bytes(ptr: *anyopaque, at: u32) u64 {
+        const h = host(ptr);
+        return S.bytes(h.metal, at) + if (h.draft) |d| d.keptBytes(at) else 0;
+    }
+    fn save(ptr: *anyopaque, owner: ?*anyopaque, at: u32) anyerror!*anyopaque {
+        const h = host(ptr);
+        const saved = try S.save(h.metal, owner, at);
+        if (h.draft) |d| d.keepLane(@ptrCast(@alignCast(owner.?)), @ptrCast(@alignCast(saved))) catch |err| {
+            S.drop(h.metal, saved);
+            return err;
+        };
+        return saved;
+    }
+    fn drop(ptr: *anyopaque, saved: *anyopaque) void {
+        S.drop(host(ptr).metal, saved);
+    }
+};
diff --git a/zig/src/native/metal.zig b/zig/src/native/metal.zig
index 1391c64f86..fbad2ae996 100644
--- a/zig/src/native/metal.zig
+++ b/zig/src/native/metal.zig
@@ -176,8 +176,8 @@ pub fn open(a: Allocator, gpa: Allocator, io: std.Io, o: api.Open, problem: *[]c
         problem.* = why;
         return null;
     }
-    if (o.drafter != null and !dense and !isGemma4(o.model_type)) {
-        problem.* = "--drafter is supported for Qwen3.8-27B-class checkpoints (qwen3_5 with its own output head) and Gemma 4 dense";
+    if (o.drafter != null and !dense and !isGemma4(o.model_type) and !std.mem.eql(u8, o.model_type, "lfm2_moe")) {
+        problem.* = "--drafter is supported for Qwen3.8-27B-class checkpoints (qwen3_5 with its own output head), Gemma 4 dense and LFM2.5-24B-A2B";
         return null;
     }
     if (dense) return openQwen27(a, gpa, io, o, problem);
diff --git a/zig/src/server/cli.zig b/zig/src/server/cli.zig
index 87914e0042..5f26ed3472 100644
--- a/zig/src/server/cli.zig
+++ b/zig/src/server/cli.zig
@@ -100,7 +100,7 @@ pub const flags = [_]Flag{
     .{ .name = "--slide", .kind = .store_true, .native = true },
     .{ .name = "--slide-graph", .native = true },
     .{ .name = "--drafter", .native = true },
-    .{ .name = "--drafter-bits", .choices = &.{ "0", "4" }, .native = true },
+    .{ .name = "--drafter-bits", .choices = &.{ "0", "4", "8" }, .native = true },
     .{ .name = "--record", .native = true },
     .{ .name = "--kv-cache", .choices = &.{ "bf16", "fp8" }, .native = true },
     .{ .name = "--prompt-precision", .choices = &.{ "bf16", "int8" }, .native = true },
@@ -152,7 +152,6 @@ pub const flags = [_]Flag{
     // the native server's own: Cortheon's reasoning program and server-run web research for every chat request
     .{ .name = "--cortheon", .kind = .store_true, .native = true },
 };
-
 /// The variables this binary honours as the Python engine does, then the CUDA build's or the Metal build's.
 pub const env = [_][]const u8{ "TENSORFOLD_API_KEY", "TENSORFOLD_NO_LIVE", "TENSORFOLD_SEED_SALT", "TENSORFOLD_REQUEST_LOG", "TENSORFOLD_NO_UPDATE_CHECK", "HF_HOME", "HF_HUB_CACHE", "HF_HUB_OFFLINE", "BRAVE_SEARCH_API_KEY" } ++
     (if (cuda_build) [_][]const u8{ "TF_CUDA_DEVICE", "TF_CUDA_SEGMENTS", "TENSORFOLD_CUDA_KERNELS", "TENSORFOLD_MEMORY_RESERVE_GIB", "TENSORFOLD_CUDA_MEMORY_LIMIT_GB", "TENSORFOLD_P2P_DIAGNOSTICS", "TENSORFOLD_P2P_PROBE" } else [_][]const u8{}) ++
@@ -217,7 +216,7 @@ pub const Args = struct {
     compact_memory: ?[]const u8 = null,
     drafter: ?[]const u8 = null,
     drafter_name: ?[]const u8 = null, // retained before hub resolution for the engine's serving line
-    drafter_bits: u8 = 4,
+    drafter_bits: ?u8 = null, // null: not given (a family without its own default takes 4)
     record: ?[]const u8 = null, // drafter training rows written under this folder
     kv_cache: []const u8 = "bf16", // fp8: e4m3 attention caches with a scale a row, about twice the context
     prompt_precision: []const u8 = "bf16", // int8: prompt matmuls quantize their inputs to int8 a 64-input group
@@ -548,7 +547,8 @@ pub fn request(a: Allocator, dir: []const u8, model_type: []const u8, args: Args
         .drafts = !args.no_drafts,
         .drafter = args.drafter,
         .drafter_name = args.drafter_name orelse args.drafter,
-        .drafter_bits = args.drafter_bits,
+        .drafter_bits = args.drafter_bits orelse 4,
+        .drafter_bits_given = args.drafter_bits != null,
         .record = args.record,
         .kv8 = std.mem.eql(u8, args.kv_cache, "fp8"),
         .prompt_int8 = std.mem.eql(u8, args.prompt_precision, "int8"),
diff --git a/zig/src/server/cli_test.zig b/zig/src/server/cli_test.zig
index ca4455cf16..123e4dfe10 100644
--- a/zig/src/server/cli_test.zig
+++ b/zig/src/server/cli_test.zig
@@ -163,8 +163,10 @@ test "parse and capabilities share the table" {
     try std.testing.expectEqual(@as(usize, 2), args.api_key.len);
     try std.testing.expect(!args.thinking);
     try std.testing.expectEqualStrings("x", (try parse(a, &.{ "m", "--drafter", "x" }, &u)).drafter.?);
-    try std.testing.expectEqual(@as(u8, 0), (try parse(a, &.{ "m", "--drafter-bits", "0" }, &u)).drafter_bits);
-    try std.testing.expectError(error.Usage, parse(a, &.{ "m", "--drafter-bits", "8" }, &u));
+    try std.testing.expectEqual(@as(?u8, 0), (try parse(a, &.{ "m", "--drafter-bits", "0" }, &u)).drafter_bits);
+    try std.testing.expectEqual(@as(?u8, 8), (try parse(a, &.{ "m", "--drafter-bits", "8" }, &u)).drafter_bits);
+    try std.testing.expectEqual(@as(?u8, null), (try parse(a, &.{ "m", "--drafter", "x" }, &u)).drafter_bits);
+    try std.testing.expectError(error.Usage, parse(a, &.{ "m", "--drafter-bits", "3" }, &u));
     try std.testing.expectEqualStrings("/r", (try parse(a, &.{ "m", "--record", "/r" }, &u)).record.?);
     try std.testing.expectEqualStrings("fp8", (try parse(a, &.{ "m", "--kv-cache", "fp8" }, &u)).kv_cache);
     try std.testing.expectError(error.Usage, parse(a, &.{ "m", "--kv-cache", "int4" }, &u));
diff --git a/zig/src/server/main.zig b/zig/src/server/main.zig
index 7ab94683aa..ab48bd608a 100644
--- a/zig/src/server/main.zig
+++ b/zig/src/server/main.zig
@@ -26,7 +26,7 @@ const usage_line = "usage: tensorfold serve [-h] [--host HOST] [--port PORT] [--
     " [--thinking | --no-thinking] [--reasoning-effort {low,medium,high,xhigh}]" ++
     " [--thinking-budget THINKING_BUDGET] [--thinking-reserve THINKING_RESERVE] [--loop-guard] [--loop-guard-stop] [--no-drafts]" ++
     " [--drafter DRAFTER]" ++
-    " [--drafter-bits {0,4}] [--record RECORD] [--keep-warm SECONDS] [--idle-unload SECONDS]" ++
+    " [--drafter-bits {0,4,8}] [--record RECORD] [--keep-warm SECONDS] [--idle-unload SECONDS]" ++
     " [--silence-floor-dbfs DBFS] [--silence-seconds SECONDS]" ++
     " [--silence-onset-s SECONDS] [--silence-onset-voiced-s SECONDS]" ++
     " [--silence-mid-s SECONDS] [--silence-mid-min-voiced-s SECONDS] [--silence-redraws N]" ++
diff --git a/zig/src/tensorfold.zig b/zig/src/tensorfold.zig
index 6148579bf6..cd9d82bc08 100644
--- a/zig/src/tensorfold.zig
+++ b/zig/src/tensorfold.zig
@@ -88,7 +88,10 @@ test {
     _ = @import("families/lfm2_moe/config.zig");
     _ = @import("families/lfm2_moe/backend.zig");
     _ = @import("families/lfm2_moe/state.zig");
+    _ = @import("families/lfm2_moe/dspark_config.zig");
+    _ = @import("families/lfm2_moe/dspark_quant.zig");
     _ = @import("families/lfm2_moe/dspark_test.zig");
+    _ = @import("families/lfm2_moe/dspark_bf16_test.zig");
 }
 
 pub const lane_projection = @import("core/lane_projection.zig");
diff --git a/zig/tests/contract/metal_lfm2_attn.zig b/zig/tests/contract/metal_lfm2_attn.zig
new file mode 100644
index 0000000000..60fa6939ae
--- /dev/null
+++ b/zig/tests/contract/metal_lfm2_attn.zig
@@ -0,0 +1,172 @@
+//! LFM2's block attention (lfm2_attn_block, then lfm2_attn_block_merge): every row of a drafter's block sees all keys.
+const std = @import("std");
+const mtl = @import("metal");
+const contract = @import("contract");
+const sources = @import("kernel_sources");
+const c = contract.spec;
+const g = contract.gates;
+const rig_ = @import("rig.zig");
+const controls = @import("metal_lfm2_controls.zig");
+
+const qh = 32;
+const kvh = 8;
+const hd = 64;
+const subs = 8; // the drafter's sub-spans a 4,096-key chunk (state.subs)
+const chunks = 32;
+const chunk_keys = 4096;
+pub const name = "metal lfm2 block attention";
+
+/// rows: a block's rows; k: the keys every row sees (a context and the block past it).
+const shapes = [_]c.Shape{ .{ .rows = 1, .n = qh * hd, .k = 9 }, .{ .rows = 3, .n = qh * hd, .k = 700 }, .{ .rows = 9, .n = qh * hd, .k = 4500 } };
+
+fn depth(s: c.Shape) usize {
+    return s.k;
+}
+
+pub fn spec() c.Spec {
+    return .{ .name = name, .accum = .none, .depth = depth, .out = .bf16, .served = &shapes, .nan = .{ .stated = "a NaN key of a kv head makes its query heads' outputs NaN, the others stay finite" }, .sums = .{ .f16 = 0, .bf16 = 0, .why = "the check bounds each output by its bf16 probabilities' rounding, not a sum's bits" } };
+}
+
+fn value(i: usize, seed: u64, scale: f32) u16 {
+    const h: u64 = (@as(u64, i) *% 0x9e3779b97f4a7c15 +% seed *% 0xbf58476d1ce4e5b9) >> 40;
+    return c.toBf16((@as(f32, @floatFromInt(h % 2048)) / 1024 - 1) * scale);
+}
+
+pub const Probe = struct {
+    a: std.mem.Allocator,
+    rig: rig_.Rig,
+    mutation: controls.Mutation,
+    pipes: [2]mtl.Pipeline,
+    shape: c.Shape = undefined,
+    cap: usize = 0,
+    nan: bool = false,
+    q: []u16 = &.{},
+    k: []u16 = &.{},
+    v: []u16 = &.{},
+    args: [5]rig_.Ref = undefined,
+    y: rig_.Ref = undefined,
+
+    pub fn init(a: std.mem.Allocator, device: mtl.Device, queue: mtl.Queue, mutation: controls.Mutation) !Probe {
+        const text = try controls.source(a, mutation);
+        defer if (mutation != .none) a.free(text);
+        const first = try rig_.pipeline(device, text, "lfm2_attn_block");
+        errdefer first.deinit();
+        return .{ .a = a, .rig = .{ .a = a, .device = device, .queue = queue }, .pipes = .{ first, try rig_.pipeline(device, text, "lfm2_attn_block_merge") }, .mutation = mutation };
+    }
+
+    fn drop(p: *Probe) void {
+        inline for (.{ "q", "k", "v" }) |f| {
+            p.a.free(@field(p, f));
+            @field(p, f) = &.{};
+        }
+        p.rig.reset();
+    }
+
+    pub fn deinit(p: *Probe) void {
+        p.drop();
+        p.rig.deinit();
+        for (p.pipes) |x| x.deinit();
+    }
+
+    const vt = g.hooks(Probe);
+    pub fn kernel(p: *Probe) g.Kernel {
+        var s = spec();
+        if (p.mutation != .none) s.name = p.mutation.name();
+        return .{ .ctx = p, .vt = &vt, .spec = s, .control = p.mutation.gate() };
+    }
+
+    pub fn prepare(p: *Probe, s: c.Shape, f: g.Fill, seed: u64) !bool {
+        if (s.n != qh * hd or s.rows == 0 or s.rows > 16 or s.k < s.rows or s.k > chunks * chunk_keys) return false;
+        p.drop();
+        p.shape = s;
+        p.nan = f == .nonfinite;
+        p.cap = (s.k + 63) / 64 * 64 + 32; // keys past `k` hold finite values, as a lane's cache does
+        const padded = (s.rows + 7) / 8 * 8 + 8; // the kernel reads a tile's 8 rows whatever its row count
+        p.q = try p.a.alloc(u16, padded * qh * hd);
+        p.k = try p.a.alloc(u16, kvh * p.cap * hd);
+        p.v = try p.a.alloc(u16, kvh * p.cap * hd);
+        for (p.q, 0..) |*x, i| x.* = value(i, seed, 1);
+        for (p.k, 0..) |*x, i| x.* = value(i, seed +% 1, if (f == .stress) 4 else 1);
+        for (p.v, 0..) |*x, i| x.* = value(i, seed +% 2, 2);
+        if (p.nan) p.k[(0 * p.cap + s.k / 2) * hd + 5] = 0x7fc0; // kv head 0, a visible key
+        p.args[0] = try p.rig.input(std.mem.sliceAsBytes(p.q));
+        p.args[1] = try p.rig.input(std.mem.sliceAsBytes(p.k));
+        p.args[2] = try p.rig.input(std.mem.sliceAsBytes(p.v));
+        const Args = extern struct { len: u32, cap: u32, scale: f32, subs: u32 };
+        const args = Args{ .len = @intCast(s.k - 1), .cap = @intCast(p.cap), .scale = 1.0 / @sqrt(@as(f32, hd)), .subs = subs };
+        p.args[3] = try p.rig.input(std.mem.asBytes(&args));
+        const n: u32 = @intCast(s.rows);
+        p.args[4] = try p.rig.input(std.mem.asBytes(&n));
+        p.y = try p.rig.output(p.count() * 2);
+        return true;
+    }
+
+    pub fn count(p: *Probe) usize {
+        return p.shape.rows * qh * hd;
+    }
+
+    pub fn run(p: *Probe) !void {
+        const rows = p.shape.rows;
+        const partials = @max(rows, 8) * subs * qh * chunks;
+        const pm = try p.rig.scratch(partials * 4);
+        const pl = try p.rig.scratch(partials * 4);
+        const po = try p.rig.scratch(partials * hd * 4);
+        const pass = p.rig.begin();
+        const e = pass.e;
+        e.setPipeline(p.pipes[0]);
+        for (p.args[0..4], 0..) |r, i| e.setBuffer(r.buf, r.off, i);
+        for ([_]rig_.Ref{ pm, pl, po, p.args[4] }, 4..) |r, i| e.setBuffer(r.buf, r.off, i);
+        const used = (p.shape.k + chunk_keys - 1) / chunk_keys * subs;
+        e.dispatchGroups(mtl.Size.of((rows + 7) / 8, kvh, used), mtl.Size.of(128, 1, 1));
+        e.setPipeline(p.pipes[1]);
+        for ([_]rig_.Ref{ pm, pl, po, p.args[3], p.y }, 0..) |r, i| e.setBuffer(r.buf, r.off, i);
+        e.dispatchGroups(mtl.Size.of(qh, rows, 1), mtl.Size.of(32, 1, 1));
+        try p.rig.finish(pass);
+    }
+
+    pub fn reference(_: *Probe, want: []f64, mag: []f64) !void {
+        @memset(want, 0); // the check computes its own references
+        @memset(mag, 0);
+    }
+
+    /// Every output against float64 attention: within 2^-7 of its values' largest magnitude and 2^-8 of itself.
+    pub fn check(p: *Probe, _: g.Gate) !?[]const u8 {
+        const s = p.shape;
+        const out = std.mem.bytesAsSlice(u16, p.rig.bytes(p.y, p.count() * 2));
+        const w = try p.a.alloc(f64, s.k);
+        defer p.a.free(w);
+        for (0..s.rows) |r| for (0..qh) |h| {
+            const kv = h / (qh / kvh);
+            const nan_head = p.nan and kv == 0;
+            var top: f64 = -std.math.inf(f64);
+            for (0..s.k) |j| {
+                var dot: f64 = 0;
+                for (0..hd) |d| dot += c.fromBf16(p.q[(r * qh + h) * hd + d]) * c.fromBf16(p.k[(kv * p.cap + j) * hd + d]);
+                w[j] = dot / @sqrt(@as(f64, hd));
+                top = @max(top, w[j]);
+            }
+            var sum: f64 = 0;
+            for (w) |*x| {
+                x.* = @exp(x.* - top);
+                sum += x.*;
+            }
+            for (0..hd) |d| {
+                var o: f64 = 0;
+                var big: f64 = 0;
+                for (0..s.k) |j| {
+                    const vv: f64 = c.fromBf16(p.v[(kv * p.cap + j) * hd + d]);
+                    o += w[j] / sum * vv;
+                    big = @max(big, @abs(vv));
+                }
+                const got: f64 = c.fromBf16(out[(r * qh + h) * hd + d]);
+                if (nan_head) {
+                    if (!std.math.isNan(got)) return "a head behind a NaN key gave a number";
+                    continue;
+                }
+                if (!std.math.isFinite(got)) return "a finite head gave a non-finite output";
+                if (@abs(got - o) > big * 0x1p-7 + @abs(o) * 0x1p-8) return "an output is past its float64 bound";
+            }
+        };
+        return null;
+    }
+};
diff --git a/zig/tests/contract/metal_lfm2_bf16.zig b/zig/tests/contract/metal_lfm2_bf16.zig
new file mode 100644
index 0000000000..0a191a48fa
--- /dev/null
+++ b/zig/tests/contract/metal_lfm2_bf16.zig
@@ -0,0 +1,133 @@
+//! LFM2's DSpark bf16 linears under gates 1-4: x W^T with bf16 inputs and fp32 sums, few rows or 64x64 tiles.
+const std = @import("std");
+const mtl = @import("metal");
+const contract = @import("contract");
+const rig_ = @import("rig.zig");
+const controls = @import("metal_lfm2_controls.zig");
+
+const c = contract.spec;
+const g = contract.gates;
+const Dense = contract.dense.Dense;
+
+pub const Which = enum { rows, tile };
+const names = [_][]const u8{ "metal lfm2 bf16 rows", "metal lfm2 bf16 tile" };
+
+/// The drafter's matrices: q and o (2,048 from 2,048), k and v (512), gate and up (6,144), down (2,048 from 6,144).
+const rows_served = [_]c.Shape{
+    .{ .rows = 1, .n = 2048, .k = 2048 },  .{ .rows = 9, .n = 512, .k = 2048 },   .{ .rows = 16, .n = 6144, .k = 2048 },
+    .{ .rows = 32, .n = 2048, .k = 6144 }, .{ .rows = 4, .n = 2048, .k = 10240 },
+};
+/// A cold prompt's absorb: the taps' projection (2,048 from 10,240) and k and v, up to 2,048 rows a pass.
+const tile_served = [_]c.Shape{
+    .{ .rows = 33, .n = 2048, .k = 2048 },    .{ .rows = 128, .n = 512, .k = 2048 },
+    .{ .rows = 2048, .n = 2048, .k = 10240 }, .{ .rows = 70, .n = 6144, .k = 2048 },
+};
+
+/// A lane's k / 32 fp32 fmas in turn, then the simdgroup's five-level sum.
+fn rowsDepth(s: c.Shape) usize {
+    return s.k / 32 + 8;
+}
+
+/// One 8-wide MMA step a k step of 8, accumulating in fp32.
+fn tileDepth(s: c.Shape) usize {
+    return s.k / 8 + 8;
+}
+
+pub fn spec(w: Which) c.Spec {
+    return switch (w) {
+        // rows in groups of 16, a column a simdgroup (any n), k in 256-wide lane steps of 8
+        .rows => .{ .name = names[0], .accum = .f32, .depth = rowsDepth, .out = .bf16, .tiles = .{ .{ .size = 16 }, .{ .size = 8 }, .{ .size = 256, .step = 8, .min = 8 } }, .served = &rows_served },
+        .tile => .{ .name = names[1], .accum = .f32, .depth = tileDepth, .out = .bf16, .tiles = .{ .{ .size = 64 }, .{ .size = 64 }, .{ .size = 32, .step = 32, .min = 32 } }, .served = &tile_served },
+    };
+}
+
+const Args = extern struct { rows: u32, n: u32, k: u32 };
+
+pub const Probe = struct {
+    a: std.mem.Allocator,
+    rig: rig_.Rig,
+    which: Which,
+    mutation: controls.Mutation,
+    pipe: mtl.Pipeline,
+    d: ?Dense = null,
+    x: rig_.Ref = undefined,
+    w: rig_.Ref = undefined,
+    out: rig_.Ref = undefined,
+
+    pub fn init(a: std.mem.Allocator, device: mtl.Device, queue: mtl.Queue, w: Which, mutation: controls.Mutation) !Probe {
+        const text = try controls.source(a, mutation);
+        defer if (mutation != .none) a.free(text);
+        const key: []const u8 = if (w == .rows) "lfm2_bf16_rows" else "lfm2_bf16_mma";
+        return .{ .a = a, .rig = .{ .a = a, .device = device, .queue = queue }, .which = w, .mutation = mutation, .pipe = try rig_.pipeline(device, text, key) };
+    }
+
+    pub fn deinit(p: *Probe) void {
+        if (p.d) |d| d.deinit();
+        p.rig.deinit();
+        p.pipe.deinit();
+    }
+
+    const vt = g.hooks(Probe);
+    pub fn kernel(p: *Probe) g.Kernel {
+        var s = spec(p.which);
+        if (p.mutation != .none) s.name = p.mutation.name();
+        return .{ .spec = s, .ctx = p, .vt = &vt, .control = p.mutation.gate() };
+    }
+
+    pub fn prepare(p: *Probe, shape: c.Shape, fill: g.Fill, seed: u64) !bool {
+        if (shape.rows == 0 or shape.n == 0 or shape.k == 0) return false;
+        if (p.which == .rows and (shape.k % 8 != 0 or shape.rows > 32)) return false;
+        if (p.which == .tile and shape.k % 32 != 0) return false;
+        if (p.d) |d| d.deinit();
+        p.d = null;
+        p.rig.reset();
+        const d = try Dense.init(p.a, shape, 1);
+        p.d = d;
+        d.fillX(fill, seed, 2);
+        // W as bf16 bits in [-1, 1), or gate 4's mirrored integers whose halves cancel (partials under 2^24)
+        const bits = try p.a.alloc(u16, shape.n * shape.k);
+        defer p.a.free(bits);
+        var prng = std.Random.DefaultPrng.init(seed ^ 0x6d);
+        const rng = prng.random();
+        const k = shape.k;
+        for (bits) |*b| b.* = c.toBf16(if (fill == .stress) 0 else rng.float(f32) * 2 - 1);
+        if (fill == .stress) for (0..shape.n) |j| for (0..k / 2) |i| {
+            const v: f32 = @floatFromInt(1 + rng.uintLessThan(u32, 7));
+            bits[j * k + i] = c.toBf16(v);
+            bits[j * k + k / 2 + i] = c.toBf16(-v);
+        };
+        for (d.w, bits) |*wv, b| wv.* = c.fromBf16(b);
+        p.x = try p.rig.input(std.mem.sliceAsBytes(d.x));
+        p.w = try p.rig.input(std.mem.sliceAsBytes(bits));
+        p.out = try p.rig.output(d.outputs() * c.size(spec(p.which).out));
+        return true;
+    }
+
+    pub fn run(p: *Probe) !void {
+        const d = p.d.?;
+        const pass = p.rig.begin();
+        const e = pass.e;
+        e.setPipeline(p.pipe);
+        e.setBuffer(p.x.buf, p.x.off, 0);
+        e.setBuffer(p.w.buf, p.w.off, 1);
+        const args = Args{ .rows = @intCast(d.shape.rows), .n = @intCast(d.shape.n), .k = @intCast(d.shape.k) };
+        e.setBytes(std.mem.asBytes(&args), 2);
+        e.setBuffer(p.out.buf, p.out.off, 3);
+        if (p.which == .rows) {
+            e.dispatchGroups(mtl.Size.of((d.shape.n + 7) / 8, (d.shape.rows + 15) / 16, 1), mtl.Size.of(256, 1, 1));
+        } else e.dispatchGroups(mtl.Size.of((d.shape.n + 63) / 64, (d.shape.rows + 63) / 64, 1), mtl.Size.of(128, 1, 1));
+        try p.rig.finish(pass);
+    }
+
+    pub fn count(p: *Probe) usize {
+        return p.d.?.outputs();
+    }
+
+    pub fn reference(p: *Probe, want: []f64, mag: []f64) !void {
+        return p.d.?.reference(want, mag);
+    }
+
+    pub fn simulate(p: *Probe, acc: c.Accum, order: g.Order, out: []f64) !void {
+        return p.d.?.simulate(acc, order, out);
+    }
+};
diff --git a/zig/tests/contract/metal_lfm2_controls.zig b/zig/tests/contract/metal_lfm2_controls.zig
index 4d875b0fe8..d7a1f7cd3b 100644
--- a/zig/tests/contract/metal_lfm2_controls.zig
+++ b/zig/tests/contract/metal_lfm2_controls.zig
@@ -11,6 +11,16 @@ pub const Mutation = enum {
     attention_first_cache,
     tap_packed_rows,
     tap_clobbers_column,
+    markov_nan_dropped,
+    markov_first_prev,
+    draft_ids_unzeroed,
+    block_attention_causal,
+    markov_bf16_nan_dropped,
+    markov_bf16_first_prev,
+    bf16_rows_short_k,
+    bf16_rows_last_row,
+    bf16_tile_untransposed,
+    bf16_tile_last_column,
 
     pub fn name(m: Mutation) []const u8 {
         return switch (m) {
@@ -21,6 +31,16 @@ pub const Mutation = enum {
             .attention_first_cache => "control: metal lfm2 stream attention, every stream writes the first stream's cache",
             .tap_packed_rows => "control: metal lfm2 tap copy, rows packed at the hidden size, not the taps' row",
             .tap_clobbers_column => "control: metal lfm2 tap copy, a column of another tap is overwritten",
+            .markov_nan_dropped => "control: metal lfm2 markov step, a NaN score is not flagged",
+            .markov_first_prev => "control: metal lfm2 markov step, every stream reads the first stream's previous token",
+            .draft_ids_unzeroed => "control: metal lfm2 draft ids, a pick past the vocabulary keeps its token",
+            .block_attention_causal => "control: metal lfm2 block attention, a row misses the last key",
+            .markov_bf16_nan_dropped => "control: metal lfm2 markov step bf16, a NaN score is not flagged",
+            .markov_bf16_first_prev => "control: metal lfm2 markov step bf16, every stream reads the first stream's previous token",
+            .bf16_rows_short_k => "control: metal lfm2 bf16 rows, a lane skips every second step of k",
+            .bf16_rows_last_row => "control: metal lfm2 bf16 rows, a group's last row is not computed",
+            .bf16_tile_untransposed => "control: metal lfm2 bf16 tile, W's tile is read untransposed",
+            .bf16_tile_last_column => "control: metal lfm2 bf16 tile, the last column is not written",
         };
     }
 
@@ -28,7 +48,7 @@ pub const Mutation = enum {
     pub fn gate(m: Mutation) ?contract.gates.Gate {
         return switch (m) {
             .none => null,
-            .argmax_no_flag => .nonfinite,
+            .argmax_no_flag, .markov_nan_dropped, .markov_bf16_nan_dropped => .nonfinite,
             else => .shapes,
         };
     }
@@ -43,6 +63,16 @@ pub const Mutation = enum {
             .conv_first_state => .{ .from = "lfm2_conv_row(bcx + size_t(s.base) * 3 * D, s.conv,", .to = "lfm2_conv_row(bcx + size_t(s.base) * 3 * D, segs[0].conv," },
             .attention_first_cache => .{ .from = "queries + b * QH * HD, s.keys, s.values,", .to = "queries + b * QH * HD, segs[0].keys, segs[0].values," },
             .tap_packed_rows => .{ .from = "(taps + size_t(i.y) * at.x + at.y))[i.x]", .to = "(taps + size_t(i.y) * D + at.y))[i.x]" },
+            .markov_nan_dropped => .{ .from = "nan = nan || isnan(sc);", .to = "nan = false;" },
+            .markov_first_prev => .{ .from = "id = prev[size_t(s) * p.prev_stride];", .to = "id = prev[0];" },
+            .draft_ids_unzeroed => .{ .from = "ids[i] = ok ? token : 0u;", .to = "ids[i] = token;" },
+            .block_attention_causal => .{ .from = "count[b] = FULL ? p.len + 1 :", .to = "count[b] = FULL ? p.len :" },
+            .markov_bf16_nan_dropped => .{ .from = "nan = nan || isnan(sc);", .to = "nan = false;" },
+            .markov_bf16_first_prev => .{ .from = "id = prev[size_t(s) * p.prev_stride];", .to = "id = prev[0];" },
+            .bf16_rows_short_k => .{ .from = "for (uint i = 8 * lane; i < p.k; i += 256) {", .to = "for (uint i = 8 * lane; i < p.k; i += 512) {" },
+            .bf16_rows_last_row => .{ .from = "if (r >= rows) break;", .to = "if (r + 1 >= rows) break;" },
+            .bf16_tile_untransposed => .{ .from = "32, ulong2(0, 0), true);", .to = "32, ulong2(0, 0), false);" },
+            .bf16_tile_last_column => .{ .from = "if (row < p.rows && col < p.n) y[", .to = "if (row < p.rows && col + 1 < p.n) y[" },
             .tap_clobbers_column => .{ .from = "[i.x] = from[i.x];\n}\n", .to = "[i.x] = from[i.x];\n  *(device bfloat*)(taps + size_t(i.y) * at.x) = 0;\n}\n" },
         };
     }
diff --git a/zig/tests/contract/metal_lfm2_dspark.zig b/zig/tests/contract/metal_lfm2_dspark.zig
new file mode 100644
index 0000000000..04b7fc489a
--- /dev/null
+++ b/zig/tests/contract/metal_lfm2_dspark.zig
@@ -0,0 +1,264 @@
+//! LFM2's DSpark kernels: the Markov step (scan then pick), and held drafts into a verify's ids.
+const std = @import("std");
+const mtl = @import("metal");
+const contract = @import("contract");
+const sources = @import("kernel_sources");
+const c = contract.spec;
+const g = contract.gates;
+const rig_ = @import("rig.zig");
+const controls = @import("metal_lfm2_controls.zig");
+
+pub const Which = enum { markov_step, draft_ids, markov_step_bf16 };
+const rank = 256;
+const vocab = 128000;
+const span = 512; // tokens a scan threadgroup takes (the kernel's MARKOV_SPAN)
+const groups = (vocab + span - 1) / span;
+const table = 1000; // W1's rows in the check: ids are inside it or past the vocabulary (a zero row)
+const names = [_][]const u8{ "metal lfm2 markov step", "metal lfm2 draft ids", "metal lfm2 markov step bf16" };
+const stride = 64; // words between a stream's picks: a hold pass's 32 blocks, a token and a flag each
+
+const ids_shapes = [_]c.Shape{ .{ .rows = 1, .n = 1, .k = 1 }, .{ .rows = 4, .n = 1, .k = 1 }, .{ .rows = 15, .n = 1, .k = 1 } };
+const step_shapes = [_]c.Shape{ .{ .rows = 1, .n = vocab, .k = rank }, .{ .rows = 4, .n = vocab, .k = rank }, .{ .rows = 9, .n = vocab, .k = rank } };
+
+fn none(_: c.Shape) usize {
+    return 0;
+}
+
+fn depth(_: c.Shape) usize {
+    return rank;
+}
+
+pub fn spec(w: Which) c.Spec {
+    return switch (w) {
+        .draft_ids => .{ .name = names[1], .accum = .none, .depth = none, .out = .raw, .served = &ids_shapes, .sums = .{ .f16 = 0, .bf16 = 0, .why = "a copy moves tokens: no sums" } },
+        .markov_step, .markov_step_bf16 => .{ .name = if (w == .markov_step) names[0] else names[2], .accum = .none, .depth = depth, .out = .raw, .served = &step_shapes, .nan = .{ .stated = "a row with a NaN score is flagged nonfinite" }, .sums = .{ .f16 = 0, .bf16 = 0, .why = "picks are tokens: the check bounds each pick's score by gamma(256), not sum bits" } },
+    };
+}
+
+/// A bf16 value for element `i` over signs and binades; the nonfinite fill plants NaN and infinities.
+fn value(i: usize, seed: u64, fill: g.Fill) u16 {
+    if (fill == .nonfinite) switch ((@as(u64, i) *% 2654435761 +% seed) % 9973) {
+        0 => return 0x7fc0,
+        1 => return 0x7f80,
+        2 => return 0xff80,
+        else => {},
+    };
+    const h: u64 = (@as(u64, i) *% 0x9e3779b97f4a7c15 +% seed *% 0xbf58476d1ce4e5b9) >> 40;
+    const mant: f32 = @as(f32, @floatFromInt(h % 1024)) / 1024 + 1;
+    const exp: i32 = @as(i32, @intCast((h >> 10) % 8)) - 4;
+    const v = std.math.ldexp(mant, exp) * @as(f32, if (((h >> 15) & 1) == 0) 1 else -1);
+    return c.toBf16(v);
+}
+
+pub const Probe = struct {
+    a: std.mem.Allocator,
+    rig: rig_.Rig,
+    which: Which,
+    mutation: controls.Mutation,
+    pipes: [2]mtl.Pipeline,
+    rows: usize = 0,
+    src: []u16 = &.{}, // the base logits rows
+    w1: []u16 = &.{},
+    codes: []u8 = &.{},
+    scales: []u16 = &.{},
+    biases: []u16 = &.{},
+    w2: []u16 = &.{}, // the bf16 step's W2
+    ids: []u32 = &.{},
+    args: [8]rig_.Ref = undefined,
+    y: rig_.Ref = undefined,
+    bad: rig_.Ref = undefined, // draft_ids: the flag word it sets for a flagged or invalid pick, zeroed each run
+
+    pub fn init(a: std.mem.Allocator, device: mtl.Device, queue: mtl.Queue, w: Which, mutation: controls.Mutation) !Probe {
+        const text = try controls.source(a, mutation);
+        defer if (mutation != .none) a.free(text);
+        const kernels: [2][:0]const u8 = switch (w) {
+            .markov_step => .{ "lfm2_markov_scan", "lfm2_markov_pick" },
+            .markov_step_bf16 => .{ "lfm2_markov_scan_bf16", "lfm2_markov_pick" },
+            .draft_ids => .{ "lfm2_draft_ids", "lfm2_draft_ids" },
+        };
+        const first = try rig_.pipeline(device, text, kernels[0]);
+        errdefer first.deinit();
+        const second = try rig_.pipeline(device, text, kernels[1]);
+        return .{ .a = a, .rig = .{ .a = a, .device = device, .queue = queue }, .which = w, .mutation = mutation, .pipes = .{ first, second } };
+    }
+
+    fn drop(p: *Probe) void {
+        inline for (.{ "src", "w1", "codes", "scales", "biases", "w2", "ids" }) |f| {
+            p.a.free(@field(p, f));
+            @field(p, f) = &.{};
+        }
+        p.rig.reset();
+    }
+
+    pub fn deinit(p: *Probe) void {
+        p.drop();
+        p.rig.deinit();
+        for (p.pipes) |x| x.deinit();
+    }
+
+    const vt = g.hooks(Probe);
+    pub fn kernel(p: *Probe) g.Kernel {
+        var s = spec(p.which);
+        if (p.mutation != .none) s.name = p.mutation.name();
+        return .{ .ctx = p, .vt = &vt, .spec = s, .control = p.mutation.gate() };
+    }
+
+    fn fill(out: []u16, seed: u64, f: g.Fill) void {
+        for (out, 0..) |*v, i| v.* = value(i, seed, f);
+    }
+
+    pub fn prepare(p: *Probe, s: c.Shape, f: g.Fill, seed: u64) !bool {
+        p.drop();
+        p.rows = s.rows;
+        if (p.which == .draft_ids) { // picks a stride apart: tokens inside the vocabulary, its last, and past it
+            if (s.n != 1 or s.rows == 0 or s.rows > 16) return false;
+            p.ids = try p.a.alloc(u32, s.rows * stride);
+            for (p.ids, 0..) |*id, i| id.* = switch ((i / stride) % 3) {
+                0 => @intCast((@as(u64, i) * 7919 + seed) % vocab),
+                1 => vocab - 1,
+                else => vocab + @as(u32, @intCast(i % 5)),
+            };
+            // the flag word after each pick: zero, but planted nonzero on the last of every four streams
+            for (0..s.rows) |r| p.ids[r * stride + 1] = if (r % 4 == 3) 1 else 0;
+            p.args[0] = try p.rig.input(std.mem.sliceAsBytes(p.ids));
+            const at = [4]u32{ stride, @intCast(s.rows), vocab, 0 };
+            p.args[1] = try p.rig.input(std.mem.asBytes(&at));
+            p.y = try p.rig.output(p.count());
+            return true;
+        }
+        if (s.n != vocab or s.k != rank or s.rows == 0) return false;
+        // each stream's step row sits a block (two rows here) apart, as a hold's rows of one step do
+        p.src = try p.a.alloc(u16, 2 * s.rows * vocab);
+        fill(p.src, seed, f);
+        p.w1 = try p.a.alloc(u16, table * rank);
+        fill(p.w1, seed +% 5, .random);
+        p.codes = try p.a.alloc(u8, vocab * rank);
+        for (p.codes, 0..) |*q, i| q.* = @truncate((@as(u64, i) *% 2654435761 +% seed) >> 11);
+        p.scales = try p.a.alloc(u16, vocab * rank / 64);
+        p.biases = try p.a.alloc(u16, vocab * rank / 64);
+        for (p.scales, p.biases, 0..) |*sc, *bi, i| {
+            sc.* = c.toBf16(@as(f32, @floatFromInt(i % 7 + 1)) / 4096);
+            bi.* = c.toBf16(@as(f32, @floatFromInt(i % 5)) / 64 - 0.03);
+        }
+        if (p.which == .markov_step_bf16) {
+            p.w2 = try p.a.alloc(u16, vocab * rank);
+            fill(p.w2, seed +% 9, .random);
+        }
+        // the previous token every second word (the picks' layout): inside W1, its last row, or past the vocabulary
+        p.ids = try p.a.alloc(u32, 2 * s.rows);
+        for (p.ids, 0..) |*id, i| id.* = if (i % 2 == 1) 0xdead else switch ((i / 2) % 3) {
+            0 => @intCast((@as(u64, i) * 37 + seed) % table),
+            1 => table - 1,
+            else => vocab + @as(u32, @intCast(i)),
+        };
+        p.args[0] = try p.rig.input(std.mem.sliceAsBytes(p.src));
+        p.args[1] = try p.rig.input(std.mem.sliceAsBytes(p.w1));
+        p.args[2] = if (p.which == .markov_step_bf16) try p.rig.input(std.mem.sliceAsBytes(p.w2)) else try p.rig.input(p.codes);
+        p.args[3] = try p.rig.input(std.mem.sliceAsBytes(p.ids));
+        const args = [4]u32{ 2 * vocab, rank, vocab, 2 };
+        p.args[4] = try p.rig.input(std.mem.asBytes(&args));
+        p.args[5] = try p.rig.input(std.mem.sliceAsBytes(p.scales));
+        p.args[6] = try p.rig.input(std.mem.sliceAsBytes(p.biases));
+        const n: u32 = groups;
+        p.args[7] = try p.rig.input(std.mem.asBytes(&n));
+        p.y = try p.rig.output(p.count());
+        return true;
+    }
+
+    pub fn count(p: *Probe) usize {
+        return switch (p.which) {
+            .markov_step, .markov_step_bf16 => p.rows * 8,
+            .draft_ids => p.rows * 4,
+        };
+    }
+
+    pub fn run(p: *Probe) !void {
+        const pass = p.rig.begin();
+        const e = pass.e;
+        if (p.which == .draft_ids) {
+            e.setPipeline(p.pipes[0]);
+            e.setBuffer(p.args[0].buf, p.args[0].off, 0);
+            e.setBuffer(p.args[1].buf, p.args[1].off, 1);
+            e.setBuffer(p.y.buf, p.y.off, 2);
+            p.bad = try p.rig.scratch(4);
+            @memset(p.rig.bytes(p.bad, 4), 0);
+            e.setBuffer(p.bad.buf, p.bad.off, 3);
+            e.dispatchThreads(mtl.Size.of(p.rows, 1, 1), mtl.Size.of(32, 1, 1));
+            return p.rig.finish(pass);
+        }
+        const best = try p.rig.scratch(p.rows * groups * 4);
+        const at = try p.rig.scratch(p.rows * groups * 4);
+        e.setPipeline(p.pipes[0]);
+        for (p.args[0..5], 0..) |r, i| e.setBuffer(r.buf, r.off, i);
+        e.setBuffer(best.buf, best.off, 5);
+        e.setBuffer(at.buf, at.off, 6);
+        if (p.which == .markov_step) {
+            e.setBuffer(p.args[5].buf, p.args[5].off, 7);
+            e.setBuffer(p.args[6].buf, p.args[6].off, 8);
+        }
+        e.dispatchGroups(mtl.Size.of(groups, p.rows, 1), mtl.Size.of(256, 1, 1));
+        e.setPipeline(p.pipes[1]);
+        e.setBuffer(best.buf, best.off, 0);
+        e.setBuffer(at.buf, at.off, 1);
+        e.setBuffer(p.args[7].buf, p.args[7].off, 2);
+        e.setBuffer(p.y.buf, p.y.off, 3);
+        e.dispatchGroups(mtl.Size.of(p.rows, 1, 1), mtl.Size.of(256, 1, 1));
+        try p.rig.finish(pass);
+    }
+
+    pub fn reference(_: *Probe, want: []f64, mag: []f64) !void {
+        @memset(mag, 0);
+        @memset(want, 0); // the step and the ids check themselves (check)
+    }
+
+    /// Each stream's pick against float64 scores with the kernel's bf16 roundings: the best, but for near ties.
+    pub fn check(p: *Probe, _: g.Gate) !?[]const u8 {
+        const out = p.rig.bytes(p.y, p.count());
+        if (p.which == .draft_ids) { // exact: each stream's first pick, or 0 for a token past the vocabulary or a flag
+            var any = false;
+            for (0..p.rows) |r| {
+                const token = p.ids[r * stride];
+                const ok = token < vocab and p.ids[r * stride + 1] == 0;
+                any = any or !ok;
+                if (std.mem.readInt(u32, out[4 * r ..][0..4], .little) != (if (ok) token else 0)) return "an id differs from its pick";
+            }
+            const raised = std.mem.readInt(u32, p.rig.bytes(p.bad, 4)[0..4], .little);
+            if ((raised != 0) != any) return "the bad flag does not follow the flagged and invalid picks";
+            return null;
+        }
+        for (0..p.rows) |s| {
+            const token = std.mem.readInt(u32, out[8 * s ..][0..4], .little);
+            const flag = std.mem.readInt(u32, out[8 * s + 4 ..][0..4], .little);
+            const id = p.ids[2 * s];
+            var top: f64 = -std.math.inf(f64);
+            var mine: ?f64 = null;
+            var nan = false;
+            var bound: f64 = 0;
+            for (0..vocab) |v| {
+                var dot: f64 = 0;
+                var size: f64 = 0;
+                if (id < table) for (0..rank) |i| {
+                    const k = (v * rank + i) / 64;
+                    const w: f64 = if (p.which == .markov_step_bf16) c.fromBf16(p.w2[v * rank + i]) else @as(f64, c.fromBf16(p.scales[k])) * @as(f64, @floatFromInt(p.codes[v * rank + i])) + c.fromBf16(p.biases[k]);
+                    dot += w * c.fromBf16(p.w1[id * rank + i]);
+                    size += @abs(w * c.fromBf16(p.w1[id * rank + i]));
+                };
+                const base: f32 = c.fromBf16(p.src[2 * s * vocab + v]);
+                const score: f64 = c.fromBf16(c.toBf16(base + c.fromBf16(c.toBf16(@floatCast(dot)))));
+                if (std.math.isNan(score)) nan = true;
+                if (score > top) top = score;
+                if (v == token) mine = score;
+                // two bf16 steps of the score and the fp32 sum's own error
+                bound = @max(bound, @abs(score) * 0x1p-7 + c.gamma(rank, 0x1p-24) * size);
+            }
+            if (nan) {
+                if (flag != 1) return "a row with a NaN score is not flagged";
+                continue;
+            }
+            if (flag != 0) return "a finite row is flagged nonfinite";
+            const got = mine orelse return "the pick is past the vocabulary";
+            if (got < top - bound) return "the pick's score is below the row's best by more than its bound";
+        }
+        return null;
+    }
+};
diff --git a/zig/tests/contract/metal_main.zig b/zig/tests/contract/metal_main.zig
index 7f44fbb441..9c29a34891 100644
--- a/zig/tests/contract/metal_main.zig
+++ b/zig/tests/contract/metal_main.zig
@@ -27,6 +27,9 @@ const gemma_mixed = @import("metal_gemma4_mixed.zig");
 const lfm2_argmax = @import("metal_lfm2_argmax.zig");
 const lfm2_streams = @import("metal_lfm2_streams.zig");
 const lfm2_tap = @import("metal_lfm2_tap.zig");
+const lfm2_dspark = @import("metal_lfm2_dspark.zig");
+const lfm2_bf16 = @import("metal_lfm2_bf16.zig");
+const lfm2_attn = @import("metal_lfm2_attn.zig");
 const lfm2_controls = @import("metal_lfm2_controls.zig");
 const g = contract.gates;
 const usage = "usage: tf-kernel-contract [--only TEXT] [--no-gates] [--no-limits] [--offline DIR] [--seed N] [--repro] [--rotary-long] [--rotary-accuracy FILE]";
@@ -208,6 +211,69 @@ pub fn main(init: std.process.Init) !u8 {
         try tap_list.append(a, p);
         try kernels.append(a, p.kernel());
     }
+    var drafter_list: std.ArrayList(*lfm2_dspark.Probe) = .empty;
+    var block_list: std.ArrayList(*lfm2_attn.Probe) = .empty;
+    var bf16_list: std.ArrayList(*lfm2_bf16.Probe) = .empty;
+    defer {
+        for (drafter_list.items) |p| {
+            p.deinit();
+            a.destroy(p);
+        }
+        for (block_list.items) |p| {
+            p.deinit();
+            a.destroy(p);
+        }
+        for (bf16_list.items) |p| {
+            p.deinit();
+            a.destroy(p);
+        }
+        drafter_list.deinit(a);
+        block_list.deinit(a);
+        bf16_list.deinit(a);
+    }
+    for (std.enums.values(lfm2_controls.Mutation)) |m| {
+        const drafter_which: ?lfm2_dspark.Which = switch (m) {
+            .markov_nan_dropped, .markov_first_prev => .markov_step,
+            .markov_bf16_nan_dropped, .markov_bf16_first_prev => .markov_step_bf16,
+            .draft_ids_unzeroed => .draft_ids,
+            else => null,
+        };
+        if (m == .none or drafter_which != null) {
+            for (std.enums.values(lfm2_dspark.Which)) |w| {
+                if (m != .none and w != drafter_which.?) continue;
+                if (!wanted(o, if (m == .none) lfm2_dspark.spec(w).name else m.name())) continue;
+                const p = try a.create(lfm2_dspark.Probe);
+                errdefer a.destroy(p);
+                p.* = try lfm2_dspark.Probe.init(a, device, queue, w, m);
+                try drafter_list.append(a, p);
+                try kernels.append(a, p.kernel());
+            }
+        }
+        const bf16_which: ?lfm2_bf16.Which = switch (m) {
+            .bf16_rows_short_k, .bf16_rows_last_row => .rows,
+            .bf16_tile_untransposed, .bf16_tile_last_column => .tile,
+            else => null,
+        };
+        if (m == .none or bf16_which != null) {
+            for (std.enums.values(lfm2_bf16.Which)) |w| {
+                if (m != .none and w != bf16_which.?) continue;
+                if (!wanted(o, if (m == .none) lfm2_bf16.spec(w).name else m.name())) continue;
+                const p = try a.create(lfm2_bf16.Probe);
+                errdefer a.destroy(p);
+                p.* = try lfm2_bf16.Probe.init(a, device, queue, w, m);
+                try bf16_list.append(a, p);
+                try kernels.append(a, p.kernel());
+            }
+        }
+        if (m == .none or m == .block_attention_causal) {
+            if (!wanted(o, if (m == .none) lfm2_attn.name else m.name())) continue;
+            const p = try a.create(lfm2_attn.Probe);
+            errdefer a.destroy(p);
+            p.* = try lfm2_attn.Probe.init(a, device, queue, m);
+            try block_list.append(a, p);
+            try kernels.append(a, p.kernel());
+        }
+    }
     var rows_list: std.ArrayList(*rows_k.Row) = .empty;
     var proj_list: std.ArrayList(*affine_k.Proj) = .empty;
     defer for (rows_list.items) |r| r.deinit();
diff --git a/zig/tests/lfm2_dspark.zig b/zig/tests/lfm2_dspark.zig
new file mode 100644
index 0000000000..d44a39591f
--- /dev/null
+++ b/zig/tests/lfm2_dspark.zig
@@ -0,0 +1,303 @@
+//! LFM2's DSpark drafter on the GPU against an fp32 host reference of the released model, on the real weights.
+const std = @import("std");
+const mtl = @import("metal");
+const tf = @import("tensorfold");
+const q = tf.lfm2_moe;
+const c = q.config;
+const st = q.state;
+const ck = tf.checkpoint;
+const quant = q.dspark_quant;
+
+const hd = c.head_dim;
+const kw = c.kv_heads * hd;
+const qw = c.query_heads * hd;
+
+/// The drafter's tensors as fp32 on the host, in the checkpoint's own layout (interleaved RoPE pairs).
+const Ref = struct {
+    gpa: std.mem.Allocator,
+    check: ck.Checkpoint,
+    cfg: q.dspark_config.Config,
+
+    fn get(r: *const Ref, name: []const u8) ![]f32 {
+        const t = try r.check.get(name);
+        const src = t.host(u16);
+        const out = try r.gpa.alloc(f32, src.len);
+        for (out, src) |*o, v| o.* = quant.toF32(v);
+        return out;
+    }
+
+    fn layer(r: *const Ref, buf: []u8, i: usize, part: []const u8) ![]f32 {
+        return r.get(try std.fmt.bufPrint(buf, "layers.{d}.{s}.weight", .{ i, part }));
+    }
+};
+
+/// y[n] = W[n, k] x[k] for each of `rows` rows, on every core.
+fn matmul(gpa: std.mem.Allocator, w: []const f32, x: []const f32, y: []f32, n: usize, k: usize, rows: usize) !void {
+    const Job = struct {
+        fn run(w_: []const f32, x_: []const f32, y_: []f32, n_: usize, k_: usize, rows_: usize, from: usize, to: usize) void {
+            for (0..rows_) |r| for (from..to) |col| {
+                var s: f32 = 0;
+                const wr = w_[col * k_ ..][0..k_];
+                const xr = x_[r * k_ ..][0..k_];
+                for (wr, xr) |a, b| s += a * b;
+                y_[r * n_ + col] = s;
+            };
+        }
+    };
+    const threads = @min(std.Thread.getCpuCount() catch 1, 16);
+    const per = (n + threads - 1) / threads;
+    const hs = try gpa.alloc(std.Thread, threads);
+    defer gpa.free(hs);
+    var made: usize = 0;
+    defer for (hs[0..made]) |h| h.join(); // a failed spawn still joins the workers already running
+    var at: usize = 0;
+    while (at < n) : (at += per) {
+        hs[made] = try std.Thread.spawn(.{}, Job.run, .{ w, x, y, n, k, rows, at, @min(n, at + per) });
+        made += 1;
+    }
+}
+
+fn rms(x: []f32, gain: []const f32) void {
+    var ss: f32 = 0;
+    for (x) |v| ss += v * v;
+    const inv = 1 / @sqrt(ss / @as(f32, @floatFromInt(x.len)) + c.eps);
+    for (x, gain) |*v, g| v.* = v.* * inv * g;
+}
+
+/// Interleaved RoPE at `pos` over each head of `x` (pairs 2i, 2i + 1).
+fn rope(x: []f32, pos: u64, theta: f32) void {
+    var h: usize = 0;
+    while (h < x.len) : (h += hd) for (0..hd / 2) |i| {
+        const angle = @as(f32, @floatFromInt(pos)) * std.math.pow(f32, theta, -@as(f32, @floatFromInt(i)) / (hd / 2));
+        const a = x[h + 2 * i];
+        const b = x[h + 2 * i + 1];
+        x[h + 2 * i] = a * @cos(angle) - b * @sin(angle);
+        x[h + 2 * i + 1] = a * @sin(angle) + b * @cos(angle);
+    };
+}
+
+/// The target's embedding row `id`, dequantized from its codes at the checkpoint's own width (scale * q + bias).
+fn embedRow(m: *q.Model, id: u32, out: []f32) void {
+    const e = m.weights.embedding;
+    const bits: usize = e.bits;
+    const row_bytes = c.hidden * bits / 8;
+    const codes = (e.w.contents() + e.w_off)[@as(usize, id) * row_bytes ..][0..row_bytes];
+    const sc = @as([*]const u16, @ptrCast(@alignCast(e.scales.contents() + e.s_off)))[@as(usize, id) * c.hidden / 64 ..][0 .. c.hidden / 64];
+    const bi = @as([*]const u16, @ptrCast(@alignCast(e.biases.contents() + e.b_off)))[@as(usize, id) * c.hidden / 64 ..][0 .. c.hidden / 64];
+    for (0..c.hidden) |j| {
+        // codes are a little-endian bit stream: code j takes bits [j * bits, (j + 1) * bits)
+        const at = j * bits;
+        var word: u32 = codes[at / 8];
+        if (at / 8 + 1 < row_bytes) word |= @as(u32, codes[at / 8 + 1]) << 8;
+        const qv = (word >> @intCast(at % 8)) & ((@as(u32, 1) << @intCast(bits)) - 1);
+        out[j] = quant.toF32(sc[j / 64]) * @as(f32, @floatFromInt(qv)) + quant.toF32(bi[j / 64]);
+    }
+}
+
+/// GPU bf16 row against the reference's row + bias: cosine and worst difference.
+fn compare(label: []const u8, gpu: []const u16, row: []const f32, bias: []const f32) void {
+    var dot: f64 = 0;
+    var gg: f64 = 0;
+    var rr: f64 = 0;
+    var worst: f32 = 0;
+    for (gpu, row, bias) |g, b, m2| {
+        const x = quant.toF32(g);
+        const y = b + m2;
+        dot += x * y;
+        gg += x * x;
+        rr += y * y;
+        worst = @max(worst, @abs(x - y));
+    }
+    std.debug.print("{s}: cosine {d:.5}, worst difference {d:.3}\n", .{ label, dot / @sqrt(gg * rr), worst });
+}
+
+fn absorb(d: *q.dspark.Drafter, piece: q.dspark_block.Piece) !void {
+    const run = q.dspark_block.begin(d);
+    try q.dspark_block.absorbPass(d, run.e, &.{piece});
+    try q.dspark_block.end(run.cb, run.e);
+}
+
+pub fn main(init: std.process.Init) !void {
+    const gpa = init.gpa;
+    const args = try init.minimal.args.toSlice(init.arena.allocator());
+    if (args.len < 4 or args.len > 6) return error.ExpectedModelDrafterPromptLengthRowsBits;
+    const bits: u8 = if (args.len == 6) try std.fmt.parseInt(u8, args[5], 10) else 0;
+    const length = try std.fmt.parseInt(usize, args[3], 10);
+    const pool = mtl.objc.Pool.push();
+    defer pool.pop();
+    const m = try q.Model.load(gpa, init.io, args[1]);
+    defer m.deinit();
+    const d = try q.dspark.Drafter.init(gpa, init.io, m, args[2], .{ .capacity = length + 64, .bits = bits });
+    defer d.deinit();
+    const cfg = d.config;
+    // the compared block's rows (a hold of depth d runs a d-row block)
+    const block: u32 = if (args.len >= 5) try std.fmt.parseInt(u32, args[4], 10) else cfg.block;
+    if (block == 0 or block > cfg.block) return error.BadBlockRows;
+    var scratch = try st.Scratch.init(gpa, m.device, &m.config.attention, length);
+    defer scratch.deinit();
+    const width = cfg.tap_count * c.hidden;
+    var taps: st.Taps = .{ .count = cfg.tap_count, .buf = try scratch.memory.alloc(length * width * 2) };
+    @memcpy(taps.layers[0..cfg.tap_count], cfg.taps[0..cfg.tap_count]);
+    scratch.taps = taps;
+    var cache = try st.Cache.init(gpa, m.device, &m.config.attention, length + 16);
+    defer cache.deinit();
+    const ids = try gpa.alloc(u32, length);
+    defer gpa.free(ids);
+    for (ids, 0..) |*id, i| id.* = @intCast((i * 7919 + 13) % 120000);
+    try q.forward.run(m, &scratch, &.{.{ .cache = &cache, .rows = length }}, ids, false, .last);
+    // the context: rows [0, length - 1); the pending token is the last id, at position length - 1
+    const ctx = length - 1;
+    const lane = try d.newLane(length + 32);
+    defer d.dropLane(lane);
+    var at: usize = 0;
+    while (at < ctx) : (at += q.dspark.absorb_rows) {
+        const rows = @min(q.dspark.absorb_rows, ctx - at);
+        try absorb(d, .{ .lane = lane, .src = .{ .buf = taps.buf, .off = at * width * 2 }, .rows = rows, .p0 = at });
+    }
+    lane.end = ctx;
+    _ = try q.dspark_block.hold(d, &.{.{ .lane = lane, .pending = ids[ctx], .anchor = ctx, .depth = block }}, null);
+    var held: [16]u32 = undefined;
+    @memcpy(held[0..block], lane.held[0..block]);
+    const gpu = held[0..block];
+    for ([_]usize{ 1, 4, 16 }) |rows| {
+        var best: f64 = std.math.floatMax(f64);
+        for (0..5) |_| {
+            const t0 = std.Io.Clock.awake.now(init.io);
+            try absorb(d, .{ .lane = lane, .src = .{ .buf = taps.buf, .off = (ctx - rows) * width * 2 }, .rows = rows, .p0 = ctx - rows });
+            best = @min(best, @as(f64, @floatFromInt(t0.durationTo(std.Io.Clock.awake.now(init.io)).toNanoseconds())) / 1e6);
+        }
+        std.debug.print("absorb of {d} rows: {d:.2} ms (best of 5)\n", .{ rows, best });
+    }
+    const depths = [_]u32{ 1, 3, cfg.block };
+    for (depths) |depth| {
+        var best: f64 = std.math.floatMax(f64);
+        for (0..5) |_| {
+            const t0 = std.Io.Clock.awake.now(init.io);
+            _ = try q.dspark_block.hold(d, &.{.{ .lane = lane, .pending = ids[ctx], .anchor = ctx, .depth = depth }}, null);
+            best = @min(best, @as(f64, @floatFromInt(t0.durationTo(std.Io.Clock.awake.now(init.io)).toNanoseconds())) / 1e6);
+        }
+        std.debug.print("hold at depth {d}: {d:.2} ms (best of 5)\n", .{ depth, best });
+    }
+    _ = try q.dspark_block.hold(d, &.{.{ .lane = lane, .pending = ids[ctx], .anchor = ctx, .depth = block }}, null);
+    // the host reference, fp32 throughout
+    var r: Ref = .{ .gpa = gpa, .check = ck.Checkpoint.init(gpa), .cfg = cfg };
+    defer r.check.deinit();
+    const path = try std.fs.path.joinZ(gpa, &.{ args[2], "model.safetensors" });
+    defer gpa.free(path);
+    try r.check.addFile(m.device, path, "");
+    var arena = std.heap.ArenaAllocator.init(gpa);
+    defer arena.deinit();
+    r.gpa = arena.allocator();
+    const a = r.gpa;
+    const n = block;
+    const tap_rows = taps.buf.slice(u16, length * width);
+    const feats = try a.alloc(f32, ctx * width);
+    for (feats, tap_rows[0 .. ctx * width]) |*f, v| f.* = quant.toF32(v);
+    const hctx = try a.alloc(f32, ctx * c.hidden);
+    try matmul(gpa, try r.get("fc.weight"), feats, hctx, c.hidden, width, ctx);
+    const hn = try r.get("hidden_norm.weight");
+    for (0..ctx) |j| rms(hctx[j * c.hidden ..][0..c.hidden], hn);
+    const h = try a.alloc(f32, n * c.hidden);
+    for (0..n) |i| embedRow(m, if (i == 0) ids[ctx] else cfg.mask, h[i * c.hidden ..][0..c.hidden]);
+    const keys = ctx + n;
+    var name: [96]u8 = undefined;
+    const x = try a.alloc(f32, n * c.hidden);
+    for (0..cfg.layers) |li| {
+        const kmat = try r.layer(&name, li, "self_attn.k_proj");
+        const vmat = try r.layer(&name, li, "self_attn.v_proj");
+        const qn = try r.layer(&name, li, "self_attn.q_norm");
+        const kn = try r.layer(&name, li, "self_attn.k_norm");
+        const kk = try a.alloc(f32, keys * kw);
+        const vv = try a.alloc(f32, keys * kw);
+        try matmul(gpa, kmat, hctx, kk, kw, c.hidden, ctx);
+        try matmul(gpa, vmat, hctx, vv, kw, c.hidden, ctx);
+        @memcpy(x, h);
+        for (0..n) |i| rms(x[i * c.hidden ..][0..c.hidden], try r.layer(&name, li, "input_layernorm"));
+        const qq = try a.alloc(f32, n * qw);
+        try matmul(gpa, try r.layer(&name, li, "self_attn.q_proj"), x, qq, qw, c.hidden, n);
+        try matmul(gpa, kmat, x, kk[ctx * kw ..], kw, c.hidden, n);
+        try matmul(gpa, vmat, x, vv[ctx * kw ..], kw, c.hidden, n);
+        for (0..keys) |j| for (0..c.kv_heads) |kh| {
+            const row = kk[j * kw + kh * hd ..][0..hd];
+            rms(row, kn);
+            rope(row, j, cfg.theta);
+        };
+        for (0..n) |i| for (0..c.query_heads) |qh| {
+            const row = qq[i * qw + qh * hd ..][0..hd];
+            rms(row, qn);
+            rope(row, ctx + i, cfg.theta);
+        };
+        const o = try a.alloc(f32, n * qw);
+        const sc = try a.alloc(f32, keys);
+        for (0..n) |i| for (0..c.query_heads) |qh| {
+            const kh = qh / (c.query_heads / c.kv_heads);
+            var top: f32 = -std.math.inf(f32);
+            for (0..keys) |j| {
+                var s: f32 = 0;
+                for (0..hd) |t| s += qq[i * qw + qh * hd + t] * kk[j * kw + kh * hd + t];
+                sc[j] = s / @sqrt(@as(f32, hd));
+                top = @max(top, sc[j]);
+            }
+            var sum: f32 = 0;
+            for (sc) |*s| {
+                s.* = @exp(s.* - top);
+                sum += s.*;
+            }
+            for (0..hd) |t| {
+                var acc: f32 = 0;
+                for (0..keys) |j| acc += sc[j] * vv[j * kw + kh * hd + t];
+                o[i * qw + qh * hd + t] = acc / sum;
+            }
+        };
+        const y = try a.alloc(f32, n * c.hidden);
+        try matmul(gpa, try r.layer(&name, li, "self_attn.o_proj"), o, y, c.hidden, qw, n);
+        for (h, y) |*v, w| v.* += w;
+        @memcpy(x, h);
+        for (0..n) |i| rms(x[i * c.hidden ..][0..c.hidden], try r.layer(&name, li, "post_attention_layernorm"));
+        const gate = try a.alloc(f32, n * cfg.intermediate);
+        const up = try a.alloc(f32, n * cfg.intermediate);
+        try matmul(gpa, try r.layer(&name, li, "mlp.gate_proj"), x, gate, cfg.intermediate, c.hidden, n);
+        try matmul(gpa, try r.layer(&name, li, "mlp.up_proj"), x, up, cfg.intermediate, c.hidden, n);
+        for (gate, up) |*g, u| g.* = g.* / (1 + @exp(-g.*)) * u;
+        try matmul(gpa, try r.layer(&name, li, "mlp.down_proj"), gate, y, c.hidden, cfg.intermediate, n);
+        for (h, y) |*v, w| v.* += w;
+    }
+    const fin = try r.get("norm.weight");
+    for (0..n) |i| rms(h[i * c.hidden ..][0..c.hidden], fin);
+    const head = try a.alloc(f32, c.vocab * c.hidden);
+    for (0..c.vocab) |v| embedRow(m, @intCast(v), head[v * c.hidden ..][0..c.hidden]);
+    const base = try a.alloc(f32, n * c.vocab);
+    try matmul(gpa, head, h, base, c.vocab, c.hidden, n);
+    const w1 = try r.get("markov_head.markov_w1.weight");
+    const w2 = try r.get("markov_head.markov_w2.weight");
+    const bias = try a.alloc(f32, c.vocab);
+    var prev = ids[ctx];
+    var same: usize = 0;
+    var worst: f32 = 0;
+    for (0..n) |i| {
+        try matmul(gpa, w2, w1[@as(usize, prev) * cfg.rank ..][0..cfg.rank], bias, c.vocab, cfg.rank, 1);
+        const row = base[i * c.vocab ..][0..c.vocab];
+        var best: usize = 0;
+        var second: usize = 1;
+        for (row, bias, 0..) |b, m2, v| {
+            const s = b + m2;
+            if (s > row[best] + bias[best]) {
+                second = best;
+                best = v;
+            } else if (v != best and s > row[second] + bias[second]) second = v;
+        }
+        const margin = (row[best] + bias[best]) - (row[second] + bias[second]);
+        if (i == 0) { // the GPU keeps the base logits (the Markov step adds its bias on the way to the pick)
+            const zero = try a.alloc(f32, c.vocab);
+            @memset(zero, 0);
+            compare("row 0 base logits", d.s.logits.slice(u16, c.vocab), row, zero);
+        }
+        const ok = gpu[i] == best;
+        same += @intFromBool(ok);
+        std.debug.print("step {d}: reference {d} (margin {d:.3}, second {d}), GPU {d} {s}\n", .{ i, best, margin, second, gpu[i], if (ok) "equal" else "DIFFERENT" });
+        if (!ok) worst = @max(worst, margin);
+        prev = gpu[i]; // teacher-forced: step i + 1 follows the GPU's pick, so each step is compared alone
+    }
+    std.debug.print("the reference's largest margin over a different GPU pick: {d:.3}\n", .{worst});
+    std.debug.print("{d} of {d} drafts equal the fp32 reference's picks on the same chain ({d}-token context)\n", .{ same, n, ctx });
+}