model: add Hy3 (hy_v3) support with MTP speculative decoding (#25395)
* model: add Hy3 (hy_v3) architecture support Adds Tencent Hunyuan 3 (HF architecture HYV3ForCausalLM, GGUF arch hy_v3): a MoE decoder stack with per-head Q/K RMSNorm, a sigmoid router with expert selection bias, an always-active ungated shared expert, and leading dense block(s) (first_k_dense_replace). The base implementation is ported from charlie12345's fork (https://github.com/charlie12345/ROCmFPX, src/models/hyv3.cpp), adapted to current mainline APIs (hparams.n_layer(), build_qkv, build_moe_ffn with fused gate_up + scale tensors, output_s). Note: blk.N.exp_probs_b is stored without a .bias suffix for compatibility with existing hy_v3 GGUFs produced by that fork. Co-Authored-By: charlie12345 <charlie12345@users.noreply.github.com> Co-authored-by: Piotr Wilkin <ilintar@gmail.com> Assisted-by: Claude Fable 5
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charlie12345
Piotr Wilkin
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6eddde06a4
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@@ -113,6 +113,7 @@ static const std::map<llm_arch, const char *> LLM_ARCH_NAMES = {
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{ LLM_ARCH_HUNYUAN_MOE, "hunyuan-moe" },
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{ LLM_ARCH_HUNYUAN_DENSE, "hunyuan-dense" },
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{ LLM_ARCH_HUNYUAN_VL, "hunyuan_vl" },
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{ LLM_ARCH_HY_V3, "hy_v3" },
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{ LLM_ARCH_SMOLLM3, "smollm3" },
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{ LLM_ARCH_OPENAI_MOE, "gpt-oss" },
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{ LLM_ARCH_LFM2, "lfm2" },
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