model : add HunyuanOCR support (#21395)
* HunyuanOCR: add support for text and vision models - Add HunyuanOCR vision projector (perceiver-based) with Conv2d merge - Add separate HUNYUAN_OCR chat template (content-before-role format) - Handle HunyuanOCR's invalid pad_token_id=-1 in converter - Fix EOS/EOT token IDs from generation_config.json - Support xdrope RoPE scaling type - Add tensor mappings for perceiver projector (mm.before_rms, mm.after_rms, etc.) - Register HunYuanVLForConditionalGeneration for both text and mmproj conversion * fix proper mapping * Update gguf-py/gguf/tensor_mapping.py Co-authored-by: Xuan-Son Nguyen <thichthat@gmail.com> * Update tools/mtmd/clip.cpp Co-authored-by: Xuan-Son Nguyen <thichthat@gmail.com> * address comments * update * Fix typecheck * Update convert_hf_to_gguf.py Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com> * Update convert_hf_to_gguf.py Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com> * Update convert_hf_to_gguf.py Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com> * Update convert_hf_to_gguf.py Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com> --------- Co-authored-by: Xuan-Son Nguyen <thichthat@gmail.com> Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
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@@ -734,6 +734,7 @@ class MODEL_TENSOR(IntEnum):
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V_LAYER_OUT_SCALE = auto()
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V_PRE_NORM = auto()
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V_POST_NORM = auto()
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V_MM_PRE_NORM = auto() # hunyuanocr
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V_MM_POST_NORM = auto()
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V_MM_INP_NORM = auto()
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V_MM_INP_PROJ = auto() # gemma3
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@@ -769,6 +770,8 @@ class MODEL_TENSOR(IntEnum):
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V_MM_GATE = auto() # cogvlm
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V_TOK_BOI = auto() # cogvlm
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V_TOK_EOI = auto() # cogvlm
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V_TOK_IMG_BEGIN = auto() # hunyuanocr
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V_TOK_IMG_END = auto() # hunyuanocr
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V_STD_BIAS = auto() # gemma4
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V_STD_SCALE = auto() # gemma4
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V_SAM_POS_EMBD = auto() # Deepseek-OCR
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@@ -1246,6 +1249,9 @@ TENSOR_NAMES: dict[MODEL_TENSOR, str] = {
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MODEL_TENSOR.V_MM_GATE: "mm.gate",
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MODEL_TENSOR.V_TOK_BOI: "v.boi",
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MODEL_TENSOR.V_TOK_EOI: "v.eoi",
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MODEL_TENSOR.V_MM_PRE_NORM: "mm.pre_norm",
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MODEL_TENSOR.V_TOK_IMG_BEGIN: "mm.image_begin",
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MODEL_TENSOR.V_TOK_IMG_END: "mm.image_end",
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MODEL_TENSOR.V_STD_BIAS: "v.std_bias", # gemma4
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MODEL_TENSOR.V_STD_SCALE: "v.std_scale", # gemma4
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# DeepSeek-OCR SAM
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@@ -1393,6 +1399,9 @@ MODEL_TENSORS: dict[MODEL_ARCH, list[MODEL_TENSOR]] = {
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MODEL_TENSOR.V_MM_GATE,
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MODEL_TENSOR.V_TOK_BOI,
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MODEL_TENSOR.V_TOK_EOI,
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MODEL_TENSOR.V_MM_PRE_NORM,
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MODEL_TENSOR.V_TOK_IMG_BEGIN,
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MODEL_TENSOR.V_TOK_IMG_END,
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MODEL_TENSOR.V_STD_BIAS,
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MODEL_TENSOR.V_STD_SCALE,
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MODEL_TENSOR.V_SAM_POS_EMBD,
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@@ -4113,6 +4122,7 @@ class VisionProjectorType:
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GLM4V = "glm4v"
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YOUTUVL = "youtuvl"
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NEMOTRON_V2_VL = "nemotron_v2_vl"
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HUNYUANOCR = "hunyuanocr"
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# Items here are (block size, type size)
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@@ -1359,6 +1359,7 @@ class TensorNameMap:
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"visual.merger.mlp.{bid}", # qwen2vl
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"mlp_AR.linear_{bid}", # PaddleOCR-VL
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"merger.mlp.{bid}",
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"vit.perceive.proj.{bid}", # HunyuanOCR (proj.0 = conv1, proj.2 = conv2)
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),
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MODEL_TENSOR.V_MMPROJ_FC: (
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@@ -1366,6 +1367,7 @@ class TensorNameMap:
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"model.vision.linear_proj.linear_proj", # cogvlm
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"model.projector.layers", # Deepseek-OCR
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"visual.merger.proj", # glm4v
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"vit.perceive.mlp", # HunyuanOCR
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),
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MODEL_TENSOR.V_MMPROJ_MLP: (
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@@ -1393,6 +1395,7 @@ class TensorNameMap:
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"model.vision_tower.embeddings.patch_embeddings.projection", # Intern-S1
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"vpm.embeddings.patch_embedding",
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"model.vision_model.embeddings.patch_embedding", # SmolVLM
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"vit.embeddings.patch_embedding", # HunyuanOCR
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"vision_tower.patch_conv", # pixtral-hf
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"vision_encoder.patch_conv", # pixtral
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"vision_model.patch_embedding.linear", # llama 4
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@@ -1414,6 +1417,7 @@ class TensorNameMap:
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"model.vision_tower.embeddings.position_embeddings", # Intern-S1
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"vpm.embeddings.position_embedding",
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"model.vision_model.embeddings.position_embedding", # SmolVLM
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"vit.embeddings.position_embedding", # HunyuanOCR
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"vision_model.positional_embedding_vlm", # llama 4
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"vision_tower.patch_embed.pos_emb", # kimi-vl
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"visual.pos_embed", # qwen3vl
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@@ -1425,10 +1429,12 @@ class TensorNameMap:
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MODEL_TENSOR.V_ENC_EMBD_IMGNL: (
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"model.image_newline", # Deepseek-OCR
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"vit.perceive.image_newline", # HunyuanOCR
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),
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MODEL_TENSOR.V_ENC_EMBD_VSEP: (
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"model.view_seperator", # Deepseek-OCR
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"vit.perceive.image_sep", # HunyuanOCR
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),
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MODEL_TENSOR.V_ENC_ATTN_QKV: (
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@@ -1444,6 +1450,7 @@ class TensorNameMap:
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"model.vision_tower.encoder.layer.{bid}.attention.q_proj", # Intern-S1
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"vpm.encoder.layers.{bid}.self_attn.q_proj",
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"model.vision_model.encoder.layers.{bid}.self_attn.q_proj", # SmolVLM
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"vit.layers.{bid}.self_attn.q_proj", # HunyuanOCR
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"vision_model.model.layers.{bid}.self_attn.q_proj", # llama4
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"vision_tower.transformer.layers.{bid}.attention.q_proj", # pixtral-hf
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"vision_encoder.transformer.layers.{bid}.attention.wq", # pixtral
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@@ -1466,6 +1473,7 @@ class TensorNameMap:
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"model.vision_tower.encoder.layer.{bid}.attention.k_proj", # Intern-S1
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"vpm.encoder.layers.{bid}.self_attn.k_proj",
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"model.vision_model.encoder.layers.{bid}.self_attn.k_proj", # SmolVLM
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"vit.layers.{bid}.self_attn.k_proj", # HunyuanOCR
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"vision_model.model.layers.{bid}.self_attn.k_proj", # llama4
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"vision_tower.transformer.layers.{bid}.attention.k_proj", # pixtral-hf
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"vision_encoder.transformer.layers.{bid}.attention.wk", # pixtral
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@@ -1488,6 +1496,7 @@ class TensorNameMap:
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"model.vision_tower.encoder.layer.{bid}.attention.v_proj", # Intern-S1
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"vpm.encoder.layers.{bid}.self_attn.v_proj",
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"model.vision_model.encoder.layers.{bid}.self_attn.v_proj", # SmolVLM
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"vit.layers.{bid}.self_attn.v_proj", # HunyuanOCR
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"vision_model.model.layers.{bid}.self_attn.v_proj", # llama4
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"vision_tower.transformer.layers.{bid}.attention.v_proj", # pixtral-hf
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"vision_encoder.transformer.layers.{bid}.attention.wv", # pixtral
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@@ -1504,6 +1513,7 @@ class TensorNameMap:
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"model.vision_tower.encoder.layer.{bid}.layernorm_before", # Intern-S1
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"vpm.encoder.layers.{bid}.layer_norm1",
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"model.vision_model.encoder.layers.{bid}.layer_norm1", # SmolVLM
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"vit.layers.{bid}.input_layernorm", # HunyuanOCR
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"vision_tower.transformer.layers.{bid}.attention_norm", # pixtral-hf
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"vision_encoder.transformer.layers.{bid}.attention_norm", # pixtral
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"vision_model.model.layers.{bid}.input_layernorm", # llama4, gemma4
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@@ -1521,6 +1531,7 @@ class TensorNameMap:
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"model.vision_tower.encoder.layer.{bid}.attention.projection_layer", # Intern-S1
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"vpm.encoder.layers.{bid}.self_attn.out_proj",
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"model.vision_model.encoder.layers.{bid}.self_attn.out_proj", # SmolVLM
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"vit.layers.{bid}.self_attn.o_proj", # HunyuanOCR
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"model.vision_model.encoder.layers.{bid}.self_attn.projection_layer", # Janus Pro
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"vision_model.model.layers.{bid}.self_attn.o_proj", # llama4
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"vision_tower.transformer.layers.{bid}.attention.o_proj", # pixtral-hf
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@@ -1540,6 +1551,7 @@ class TensorNameMap:
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"model.vision_tower.encoder.layer.{bid}.layernorm_after", # Intern-S1
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"vpm.encoder.layers.{bid}.layer_norm2",
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"model.vision_model.encoder.layers.{bid}.layer_norm2", # SmolVLM
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"vit.layers.{bid}.post_attention_layernorm", # HunyuanOCR
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"vision_model.model.layers.{bid}.post_attention_layernorm", # llama4
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"vision_tower.transformer.layers.{bid}.ffn_norm", # pixtral-hf
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"vision_encoder.transformer.layers.{bid}.ffn_norm", # pixtral
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@@ -1557,6 +1569,7 @@ class TensorNameMap:
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"model.vision_tower.encoder.layer.{bid}.mlp.fc1", # Intern-S1
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"vpm.encoder.layers.{bid}.mlp.fc1",
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"model.vision_model.encoder.layers.{bid}.mlp.fc1", # SmolVLM, gemma3
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"vit.layers.{bid}.mlp.dense_h_to_4h", # HunyuanOCR
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"vision_tower.transformer.layers.{bid}.feed_forward.up_proj", # pixtral-hf
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"vision_encoder.transformer.layers.{bid}.feed_forward.w3", # pixtral
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"vision_model.model.layers.{bid}.mlp.fc1", # llama4
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@@ -1583,6 +1596,7 @@ class TensorNameMap:
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"model.vision_tower.encoder.layer.{bid}.mlp.fc2", # Intern-S1
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"vpm.encoder.layers.{bid}.mlp.fc2",
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"model.vision_model.encoder.layers.{bid}.mlp.fc2", # SmolVLM, gemma3
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"vit.layers.{bid}.mlp.dense_4h_to_h", # HunyuanOCR
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"vision_tower.transformer.layers.{bid}.feed_forward.down_proj", # pixtral-hf
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"vision_encoder.transformer.layers.{bid}.feed_forward.w2", # pixtral
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"vision_model.model.layers.{bid}.mlp.fc2", # llama4
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@@ -1639,6 +1653,7 @@ class TensorNameMap:
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MODEL_TENSOR.V_MM_POST_NORM: (
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"visual.merger.post_projection_norm", # glm4v
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"vit.perceive.after_rms", # HunyuanOCR
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),
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MODEL_TENSOR.V_MM_INP_PROJ: (
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@@ -1806,6 +1821,18 @@ class TensorNameMap:
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"model.vision.eoi", # cogvlm
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),
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MODEL_TENSOR.V_MM_PRE_NORM: (
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"vit.perceive.before_rms", # HunyuanOCR
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),
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MODEL_TENSOR.V_TOK_IMG_BEGIN: (
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"vit.perceive.image_begin", # HunyuanOCR
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),
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MODEL_TENSOR.V_TOK_IMG_END: (
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"vit.perceive.image_end", # HunyuanOCR
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),
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MODEL_TENSOR.V_STD_BIAS: (
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"model.vision_tower.std_bias", # gemma4
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),
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