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>

src/llama-hparams.h

@@ -116,6 +116,7 @@ struct llama_hparams {
     float    rope_freq_base_train_swa  = 10000.0f;
     float    rope_freq_scale_train;
     float    rope_freq_scale_train_swa = 1.0f;
+    float    rope_scaling_alpha        = 0.0f;  // NTK-aware alpha for XDRoPE
 
     uint32_t n_ctx_orig_yarn;
     float    rope_yarn_log_mul = 0.0f;