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convert: support Mistral 3 Large MoE (#17730)

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* convert: support Mistral 3 Large MoE

* filter out vision tensors, add missing keys

* handle vocab

* add temperature_length

* fix mscale_all_dim

* clean up

* Apply suggestions from code review

Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>

* fix

* Update gguf-py/gguf/tensor_mapping.py

Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>

---------

Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
This commit is contained in:
Xuan-Son Nguyen
2025-12-06 10:49:33 +01:00
committed by GitHub
co-authored by Sigbjørn Skjæret
parent c6c5e85979
commit dbc15a7967
2 changed files with 188 additions and 83 deletions
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gguf-py/gguf/tensor_mapping.py
+11
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@@ -376,6 +376,7 @@ class TensorNameMap:
"model.layers.{bid}.block_sparse_moe.primary_router", # smallthinker
"model.layers.{bid}.feed_forward.gate", # lfm2moe
"model.layers.{bid}.mlp.router.gate", # afmoe
"layers.{bid}.gate", # mistral-large
),
MODEL_TENSOR.FFN_GATE_INP_SHEXP: (
@@ -450,6 +451,7 @@ class TensorNameMap:
"model.layers.{bid}.feed_forward.shared_expert.up_proj", # llama4
"model.layers.{bid}.feed_forward.down_proj",
"model.layers.{bid}.mlp.shared_mlp.up_proj", # hunyuan
"layers.{bid}.shared_experts.w3", # mistral-large
),
MODEL_TENSOR.FFN_UP_CHEXP: (
@@ -496,6 +498,7 @@ class TensorNameMap:
"model.layers.{bid}.mlp.shared_experts.gate_proj", # deepseek deepseek2
"model.layers.{bid}.feed_forward.shared_expert.gate_proj", # llama4
"model.layers.{bid}.mlp.shared_mlp.gate_proj", # hunyuan
"layers.{bid}.shared_experts.w1", # mistral-large
),
MODEL_TENSOR.FFN_GATE_CHEXP: (
@@ -557,6 +560,7 @@ class TensorNameMap:
"model.layers.{bid}.feed_forward.shared_expert.down_proj", # llama4
"model.layers.{bid}.shared_mlp.output_linear", # granitemoe
"model.layers.{bid}.mlp.shared_mlp.down_proj", # hunyuan
"layers.{bid}.shared_experts.w2", # mistral-large
),
MODEL_TENSOR.FFN_DOWN_CHEXP: (
@@ -924,14 +928,17 @@ class TensorNameMap:
MODEL_TENSOR.ATTN_Q_A: (
"model.layers.{bid}.self_attn.q_a_proj", # deepseek2
"layers.{bid}.attention.wq_a", # mistral-large
),
MODEL_TENSOR.ATTN_Q_B: (
"model.layers.{bid}.self_attn.q_b_proj", # deepseek2
"layers.{bid}.attention.wq_b", # mistral-large
),
MODEL_TENSOR.ATTN_KV_A_MQA: (
"model.layers.{bid}.self_attn.kv_a_proj_with_mqa", # deepseek2
"layers.{bid}.attention.wkv_a_with_mqa", # mistral-large
),
MODEL_TENSOR.ATTN_KV_B: (
@@ -940,18 +947,22 @@ class TensorNameMap:
MODEL_TENSOR.ATTN_K_B: (
"model.layers.{bid}.self_attn.k_b_proj", # deepseek2
"layers.{bid}.attention.k_b_proj", # mistral-large
),
MODEL_TENSOR.ATTN_V_B: (
"model.layers.{bid}.self_attn.v_b_proj", # deepseek2
"layers.{bid}.attention.v_b_proj", # mistral-large
),
MODEL_TENSOR.ATTN_Q_A_NORM: (
"model.layers.{bid}.self_attn.q_a_layernorm", # deepseek2
"layers.{bid}.attention.q_a_norm", # mistral-large
),
MODEL_TENSOR.ATTN_KV_A_NORM: (
"model.layers.{bid}.self_attn.kv_a_layernorm", # deepseek2
"layers.{bid}.attention.kv_a_norm", # mistral-large
),
MODEL_TENSOR.ATTN_SUB_NORM: (