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Supported Models

Get the latest info here: https://github.com/vllm-project/vllm-ascend/issues/1608

Legend Description:

  • ✅ = Supported model/feature
  • 🔵 = Experimental supported model/feature
  • ❌ = Not supported model/feature
  • 🟡 = Not tested or verified

Text-Only Language Models

Generative Models

Core Supported Models

Model Support Note BF16 Supported Hardware W8A8 Chunked Prefill Automatic Prefix Cache LoRA Speculative Decoding Async Scheduling Tensor Parallel Pipeline Parallel Expert Parallel Data Parallel Prefill-decode Disaggregation Piecewise AclGraph Fullgraph AclGraph max-model-len MLP Weight Prefetch Doc
DeepSeek V4-Flash A2/A3 1M DeepSeek-V4
DeepSeek V4-Pro A2/A3 1M DeepSeek-V4
DeepSeek V3/3.1 A2/A3 240k DeepSeek-V3.1
DeepSeek V3.2 🔵 A2/A3 160k DeepSeek-V3.2
DeepSeek R1 A2/A3 128k DeepSeek-R1
Qwen3-Dense A2/A3 128k Qwen3-Dense
Qwen3-30B-A3B A2/A3 Qwen3-30B-A3B
Qwen3-Coder-30B-A3B A2/A3 Qwen3-Coder-30B-A3B
Qwen3-235B-A22B A2/A3 256k Qwen3-235B-A22B
Qwen3-Next 🔵 A2/A3 Qwen3-Next
GLM-4.x 🔵 A2/A3 198k GLM-4.x
GLM-5/5.1 🔵 A2/A3 200k GLM-5
GLM-5.2 🔵 A2/A3 200k GLM-5
Kimi-K2-Thinking 🔵 A2/A3 Kimi-K2-Thinking
DeepseekOCR2 A2/A3 DeepSeekOCR2
MiniMax-M2.5/2.7 A2/A3/Ascend950 (Ascend950 experimental) 🟡 🟡 200k 🟡 MiniMax-M2
Qwen2.5-Math-RM-72B vllm-rm, tensor_parallel_size=4, max_model_len=4096 A2 🟡 🟡 🟡 🟡 🟡 🟡 🟡 🟡 🟡 4096 🟡 Qwen2.5-Math-RM-72B

Extended Compatible Models

Model Support Note Supported Hardware
DeepSeek Distill (Qwen/Llama) A2/A3
Qwen3-based A2/A3
Qwen2 A2/A3
Qwen2.5 A2/A3
Qwen2-based A2/A3
QwQ-32B A2/A3
Llama⅔/3.⅓.2 A2/A3
Internlm 🔵 #1962 A2/A3
Baichuan 🔵 A2/A3
Baichuan2 🔵 A2/A3
Phi-4-mini 🔵 A2/A3
MiniCPM 🔵 A2/A3
MiniCPM3 🔵 A2/A3
Ernie4.5 🔵 A2/A3
Ernie4.5-Moe 🔵 A2/A3
Gemma-2 🔵 A2/A3
Gemma-3 🔵 A2/A3
Phi-¾ 🔵 A2/A3
Mistral/Mistral-Instruct 🔵 A2/A3
Hy3-preview 🔵 A3
DeepSeek V2.5 🟡 Need test
Mllama 🟡 Need test
MiniMax-Text 🟡 Need test

Pooling Models

Model Support Note Supported Hardware Doc
Qwen3-Embedding 🔵 A2/A3 Qwen3_embedding
Qwen3-VL-Embedding 🔵 A2/A3 Qwen3-VL-Embedding
Qwen3-Reranker 🔵 A2/A3 Qwen3_reranker
Qwen3-VL-Reranker 🔵 A2/A3 Qwen3-VL-Reranker
Molmo 🔵 1942 A2/A3
XLM-RoBERTa-based 🔵 A2/A3
Bert 🔵 A2/A3
Qwen2.5-Math-RM-72B Reward Model, gsm8k_correctness accuracy=0.80 A2 Qwen2.5-Math-RM-72B

Multimodal Language Models

Generative Models

Core Supported Models

Model Support Note BF16 Supported Hardware W8A8 Chunked Prefill Automatic Prefix Cache LoRA Speculative Decoding Async Scheduling Tensor Parallel Pipeline Parallel Expert Parallel Data Parallel Prefill-decode Disaggregation Piecewise AclGraph Fullgraph AclGraph max-model-len MLP Weight Prefetch Doc
Qwen3-VL A2/A3 Qwen-VL-Dense
Qwen3-VL-MOE A2/A3 256k Qwen3-VL-MOE
Qwen3.5-397B-A17B A2/A3 1010000 Qwen3.5-397B-A17B
Qwen3.5-27B / Qwen3.6-27B A2/A3 262144 Qwen3.5-27B / Qwen3.6-27B
Qwen3.6-35B-A3B 🔵 A2/A3 🔵 262144 Qwen3.6-35B-A3B
Qwen3-Omni-30B-A3B-Thinking 🔵 A2/A3 Qwen3-Omni-30B-A3B-Thinking
Kimi-K2.5/Kimi-K2.6 A2/A3 262144 Kimi-K2.5/Kimi-K2.6

Extended Compatible Models

Model Support Note Supported Hardware
Qwen2-VL A2/A3
Qwen3-Omni 🔵 A2/A3
QVQ 🔵 A2/A3
Qwen2-Audio 🔵 A2/A3
Aria 🔵 A2/A3
LLaVA-Next 🔵 A2/A3
LLaVA-Next-Video 🔵 A2/A3
MiniCPM-V 🔵 A2/A3
Mistral3 🔵 A2/A3
Phi-3-Vision/Phi-3.5-Vision 🔵 A2/A3
Gemma3 🔵 A2/A3
Llama3.2 🔵 A2/A3
PaddleOCR-VL 🔵 A2/A3
Llama4 1972
Keye-VL-8B-Preview 1961
Florence-2 2259
GLM-4V 2260
InternVL2.0/2.5/3.0
InternVideo2.5/Mono-InternVL
2064
Whisper 2262
Ultravox 🟡 Need test