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AdvayMonga merged 1 commit into from
Oct 5, 2026
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docs: direction is load-adaptive across all corpus classes #91

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4 changes: 3 additions & 1 deletion CLAUDE.md
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Expand Up @@ -20,7 +20,9 @@
## Models
- Hand-written forwards: `models/gemma4.py` (Gemma 4) and `models/qwen3_moe.py` (Qwen3-MoE);
`CustomTorchBackend` picks one by the HF `model_type`. Qwen3-30B-A3B is the benchmark model
for MoE cold start (owner's Phase 0 decision, 2026-10-01); its path runs decode CUDA graphs (2026-10-04) but not torch.compile or int8 yet.
(owner's Phase 0 decision, 2026-10-01); its path runs decode CUDA graphs (2026-10-04) but not torch.compile or int8 yet.
- Direction (2026-10-04): one engine that adapts to load across every corpus class; cold start is
one class among them, no longer the headline. The headline metric is not decided yet.

## Strict referee, free player (the bitter lesson)
- Harness is code and strict: sandbox, grader, measurement protocol, output equivalence,
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