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[Model] Introduce Kimi Linear to vLLM #27809

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Merged
merged 2 commits into from
Oct 30, 2025
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[Model] Introduce Kimi Linear to vLLM #27809

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bdd26e6
[Model] Introduce Kimi Linear to vLLM
zhiyuan1i Oct 27, 2025
36fb74a
Change for clarification
zhiyuan1i Oct 30, 2025
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1 change: 1 addition & 0 deletions docs/models/supported_models.md
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Original file line number Diff line number Diff line change
Expand Up @@ -382,6 +382,7 @@ th {
| `InternLM3ForCausalLM` | InternLM3 | `internlm/internlm3-8b-instruct`, etc. | ✅︎ | ✅︎ |
| `JAISLMHeadModel` | Jais | `inceptionai/jais-13b`, `inceptionai/jais-13b-chat`, `inceptionai/jais-30b-v3`, `inceptionai/jais-30b-chat-v3`, etc. | | ✅︎ |
| `JambaForCausalLM` | Jamba | `ai21labs/AI21-Jamba-1.5-Large`, `ai21labs/AI21-Jamba-1.5-Mini`, `ai21labs/Jamba-v0.1`, etc. | ✅︎ | ✅︎ |
| `KimiLinearForCausalLM` | Kimi-Linear-48B-A3B-Base, Kimi-Linear-48B-A3B-Instruct | `moonshotai/Kimi-Linear-48B-A3B-Base`, `moonshotai/Kimi-Linear-48B-A3B-Instruct` | | ✅︎ |
| `Lfm2ForCausalLM` | LFM2 | `LiquidAI/LFM2-1.2B`, `LiquidAI/LFM2-700M`, `LiquidAI/LFM2-350M`, etc. | ✅︎ | ✅︎ |
| `Lfm2MoeForCausalLM` | LFM2MoE | `LiquidAI/LFM2-8B-A1B-preview`, etc. | ✅︎ | ✅︎ |
| `LlamaForCausalLM` | Llama 3.1, Llama 3, Llama 2, LLaMA, Yi | `meta-llama/Meta-Llama-3.1-405B-Instruct`, `meta-llama/Meta-Llama-3.1-70B`, `meta-llama/Meta-Llama-3-70B-Instruct`, `meta-llama/Llama-2-70b-hf`, `01-ai/Yi-34B`, etc. | ✅︎ | ✅︎ |
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3 changes: 3 additions & 0 deletions tests/models/registry.py
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Expand Up @@ -296,6 +296,9 @@ def check_available_online(
"random": "ai21labs/Jamba-tiny-random",
},
),
"KimiLinearForCausalLM": _HfExamplesInfo(
"moonshotai/Kimi-Linear-48B-A3B-Instruct", trust_remote_code=True
),
"Lfm2ForCausalLM": _HfExamplesInfo("LiquidAI/LFM2-1.2B"),
"Lfm2MoeForCausalLM": _HfExamplesInfo(
"LiquidAI/LFM2-8B-A1B", min_transformers_version="4.58"
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1 change: 1 addition & 0 deletions vllm/config/compilation.py
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Expand Up @@ -453,6 +453,7 @@ class CompilationConfig:
"vllm::linear_attention",
"vllm::plamo2_mamba_mixer",
"vllm::gdn_attention",
"vllm::kda_attention",
"vllm::sparse_attn_indexer",
]

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1 change: 1 addition & 0 deletions vllm/config/model.py
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Expand Up @@ -1257,6 +1257,7 @@ def is_deepseek_mla(self) -> bool:
"deepseek_v32",
"deepseek_mtp",
"kimi_k2",
"kimi_linear",
"longcat_flash",
):
return self.hf_text_config.kv_lora_rank is not None
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2 changes: 1 addition & 1 deletion vllm/model_executor/layers/fla/ops/kda.py
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Expand Up @@ -1304,7 +1304,7 @@ def kda_gate_fwd_kernel(
tl.store(y_ptr, b_y.to(y.dtype.element_ty), boundary_check=(0, 1))


def kda_gate_fwd(
def fused_kda_gate(
g: torch.Tensor,
A: torch.Tensor,
head_k_dim: int,
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