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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co-authored by
Xuan-Son Nguyen
Sigbjørn Skjæret
parent
761797ffdf
commit
af76639f72
@@ -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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