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Add Qwen3.5-MoE architecture support and fix Qwen3-VL-MoE linear attention weights #696
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,229 @@ | ||
| { | ||
| "kind": "modular", | ||
| "model_type": "qwen3_5_moe", | ||
| "architectures": [ | ||
| "Qwen3_5MoeForConditionalGeneration" | ||
| ], | ||
| "vocab_size_config_key": "text_config.vocab_size", | ||
| "tagalong_files": [ | ||
| "preprocessor_config.json", | ||
| "video_preprocessor_config.json", | ||
| "chat_template.jinja", | ||
| "merges.txt", | ||
| "tokenizer.json", | ||
| "tokenizer_config.json" | ||
| ], | ||
| "modules": { | ||
| "default": { | ||
| "architecture": { | ||
| "architectures": [ | ||
| "Qwen3ForCausalLM" | ||
| ], | ||
| "model_type": "qwen3_5_moe_text", | ||
| "num_layers_config_key": "text_config.num_hidden_layers", | ||
| "pre_weights": [ | ||
| { | ||
| "name": "model.language_model.embed_tokens.weight", | ||
| "is_embed": true | ||
| } | ||
| ], | ||
| "post_weights": [ | ||
| { | ||
| "name": "model.language_model.norm.weight" | ||
| }, | ||
| { | ||
| "name": "lm_head.weight", | ||
| "is_embed": true, | ||
| "optional": true, | ||
| "tied_names": [ | ||
| "model.language_model.embed_tokens.weight" | ||
| ] | ||
| } | ||
| ], | ||
| "layer_templates": { | ||
| "weights": [ | ||
| { | ||
| "name": "model.language_model.layers.${layer_index}.input_layernorm.weight" | ||
| }, | ||
| { | ||
| "name": "model.language_model.layers.${layer_index}.post_attention_layernorm.weight" | ||
| }, | ||
| { | ||
| "name": "model.language_model.layers.${layer_index}.self_attn.k_norm.weight", | ||
| "optional": true | ||
| }, | ||
| { | ||
| "name": "model.language_model.layers.${layer_index}.self_attn.k_proj.weight", | ||
| "optional": true | ||
| }, | ||
| { | ||
| "name": "model.language_model.layers.${layer_index}.self_attn.o_proj.weight", | ||
| "optional": true | ||
| }, | ||
| { | ||
| "name": "model.language_model.layers.${layer_index}.self_attn.q_proj.weight", | ||
| "optional": true | ||
| }, | ||
| { | ||
| "name": "model.language_model.layers.${layer_index}.self_attn.v_proj.weight", | ||
| "optional": true | ||
| }, | ||
| { | ||
| "name": "model.language_model.layers.${layer_index}.self_attn.q_norm.weight", | ||
| "optional": true | ||
| }, | ||
| { | ||
| "name": "model.language_model.layers.${layer_index}.mlp.gate.weight" | ||
| }, | ||
| { | ||
| "name": "model.language_model.layers.${layer_index}.mlp.experts.gate_up_proj" | ||
| }, | ||
| { | ||
| "name": "model.language_model.layers.${layer_index}.mlp.experts.down_proj" | ||
| }, | ||
| { | ||
| "name": "model.language_model.layers.${layer_index}.mlp.shared_expert.gate_proj.weight", | ||
| "optional": true | ||
| }, | ||
| { | ||
| "name": "model.language_model.layers.${layer_index}.mlp.shared_expert.up_proj.weight", | ||
| "optional": true | ||
| }, | ||
| { | ||
| "name": "model.language_model.layers.${layer_index}.mlp.shared_expert.down_proj.weight", | ||
| "optional": true | ||
| }, | ||
| { | ||
| "name": "model.language_model.layers.${layer_index}.mlp.shared_expert_gate.weight", | ||
| "optional": true | ||
| }, | ||
| { | ||
| "name": "model.language_model.layers.${layer_index}.linear_attn.in_proj_qkv.weight", | ||
| "optional": true | ||
| }, | ||
| { | ||
| "name": "model.language_model.layers.${layer_index}.linear_attn.in_proj_a.weight", | ||
| "optional": true | ||
| }, | ||
| { | ||
| "name": "model.language_model.layers.${layer_index}.linear_attn.in_proj_b.weight", | ||
| "optional": true | ||
| }, | ||
| { | ||
| "name": "model.language_model.layers.${layer_index}.linear_attn.in_proj_z.weight", | ||
| "optional": true | ||
| }, | ||
| { | ||
| "name": "model.language_model.layers.${layer_index}.linear_attn.out_proj.weight", | ||
| "optional": true | ||
| }, | ||
| { | ||
| "name": "model.language_model.layers.${layer_index}.linear_attn.norm.weight", | ||
| "optional": true | ||
| }, | ||
| { | ||
| "name": "model.language_model.layers.${layer_index}.linear_attn.A_log", | ||
| "optional": true | ||
| }, | ||
| { | ||
| "name": "model.language_model.layers.${layer_index}.linear_attn.D", | ||
| "optional": true | ||
| }, | ||
| { | ||
| "name": "model.language_model.layers.${layer_index}.linear_attn.dt_bias", | ||
| "optional": true | ||
| }, | ||
| { | ||
| "name": "model.language_model.layers.${layer_index}.linear_attn.conv1d.weight", | ||
| "optional": true | ||
| }, | ||
| { | ||
| "name": "model.language_model.layers.${layer_index}.linear_attn.conv1d.bias", | ||
| "optional": true | ||
| } | ||
| ] | ||
| } | ||
| } | ||
| }, | ||
| "visual": { | ||
| "architecture": { | ||
| "model_type": "", | ||
| "architectures": [], | ||
| "num_layers_config_key": "vision_config.depth", | ||
| "pre_weights": [ | ||
| { | ||
| "name": "model.visual.patch_embed.proj.weight", | ||
| "is_embed": true | ||
| }, | ||
| { | ||
| "name": "model.visual.patch_embed.proj.bias" | ||
| }, | ||
| { | ||
| "name": "model.visual.pos_embed.weight", | ||
| "is_embed": true | ||
| } | ||
| ], | ||
| "post_weights": [ | ||
| { | ||
| "name": "model.visual.merger.norm.weight" | ||
| }, | ||
| { | ||
| "name": "model.visual.merger.norm.bias" | ||
| }, | ||
| { | ||
| "name": "model.visual.merger.linear_fc1.weight" | ||
| }, | ||
| { | ||
| "name": "model.visual.merger.linear_fc1.bias" | ||
| }, | ||
| { | ||
| "name": "model.visual.merger.linear_fc2.weight" | ||
| }, | ||
| { | ||
| "name": "model.visual.merger.linear_fc2.bias" | ||
| } | ||
| ], | ||
| "layer_templates": { | ||
| "weights": [ | ||
| { | ||
| "name": "model.visual.blocks.${layer_index}.norm1.weight" | ||
| }, | ||
| { | ||
| "name": "model.visual.blocks.${layer_index}.norm1.bias" | ||
| }, | ||
| { | ||
| "name": "model.visual.blocks.${layer_index}.norm2.weight" | ||
| }, | ||
| { | ||
| "name": "model.visual.blocks.${layer_index}.norm2.bias" | ||
| }, | ||
| { | ||
| "name": "model.visual.blocks.${layer_index}.attn.qkv.weight" | ||
| }, | ||
| { | ||
| "name": "model.visual.blocks.${layer_index}.attn.qkv.bias" | ||
| }, | ||
| { | ||
| "name": "model.visual.blocks.${layer_index}.attn.proj.weight" | ||
| }, | ||
| { | ||
| "name": "model.visual.blocks.${layer_index}.attn.proj.bias" | ||
| }, | ||
| { | ||
| "name": "model.visual.blocks.${layer_index}.mlp.linear_fc1.weight" | ||
| }, | ||
| { | ||
| "name": "model.visual.blocks.${layer_index}.mlp.linear_fc1.bias" | ||
| }, | ||
| { | ||
| "name": "model.visual.blocks.${layer_index}.mlp.linear_fc2.weight" | ||
| }, | ||
| { | ||
| "name": "model.visual.blocks.${layer_index}.mlp.linear_fc2.bias" | ||
| } | ||
| ] | ||
| } | ||
| } | ||
| } | ||
| } | ||
| } | ||
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Missing deepstack merger weights
High Severity
The new
visualmodule lists patch embed, vision blocks, and the main merger, but notmodel.visual.deepstack_merger_list.*. Qwen3.5 MoE multimodal vision uses DeepStack like Qwen3-VL; mergekit only writes planned weights, so those tensors are omitted from merge output.Additional Locations (1)
mergekit/_data/architectures/qwen3_vl.json#L149-L170Reviewed by Cursor Bugbot for commit fcdaa9a. Configure here.