mtmd, llama : Update HunyuanVL vision-language model support (#22037)
* mtmd, llama : add HunyuanVL vision-language model support - add LLM_ARCH_HUNYUAN_VL with M-RoPE (XD-RoPE) support - add PROJECTOR_TYPE_HUNYUANVL with PatchMerger vision encoder - add HunyuanVL-specific M-RoPE position encoding for image tokens - add GGUF conversion for HunyuanVL vision and text models - add smoke test in tools/mtmd/tests.sh * fix: fix HunyuanVL XD-RoPE h/w section order * fix: Remove redundant code * convert : fix HunyuanOCR / HunyuanVL conversion - Tested locally: both HunyuanOCR and HunyuanVL-4B convert to GGUF - successfully and produce correct inference output on Metal (F16 / Q8_0). * clip : fix -Werror=misleading-indentation in bilinear resize * fix CI: convert_hf_to_gguf type check error - convert_hf_to_gguf.py: give HunyuanVLTextModel.__init__ an explicit `dir_model: Path` parameter so ty can infer the type for load_hparams instead of reporting `Unknown | None`. --------- Co-authored-by: wendadawen <wendadawen@tencent.com>
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@@ -973,6 +973,9 @@ class GGUFWriter:
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def add_rope_scaling_factor(self, value: float) -> None:
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self.add_float32(Keys.Rope.SCALING_FACTOR.format(arch=self.arch), value)
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def add_rope_scaling_alpha(self, value: float) -> None:
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self.add_float32(Keys.Rope.SCALING_ALPHA.format(arch=self.arch), value)
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def add_rope_scaling_attn_factors(self, value: float) -> None:
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self.add_float32(Keys.Rope.SCALING_ATTN_FACTOR.format(arch=self.arch), value)
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