# Support Models on Ascend NPU This section describes the models supported on the Ascend NPU, including Large Language Models, Multimodal Language Models, Embedding Models, Reward Models and Rerank Models. Mainstream DeepSeek/Qwen/GLM series are included. You are welcome to enable various models based on your business requirements. ## Large Language Models | Models | Model Family | A2 Supported | A3 Supported | |--------------------------------------------|--------------------------------|:----------------------------------------:|:----------------------------------------:| | DeepSeek V3/V3.1 | DeepSeek | **** | **** | | DeepSeek-V3.2-Exp-W8A8 | DeepSeek | **** | **** | | DeepSeek-R1-0528-W8A8 | DeepSeek | **** | **** | | DeepSeek-V2-Lite-W8A8 | DeepSeek | **** | **** | | Qwen/Qwen3-30B-A3B-Instruct-2507 | Qwen | **** | **** | | Qwen/Qwen3-32B | Qwen | **** | **** | | Qwen/Qwen3-0.6B | Qwen | **** | **** | | Qwen3-235B-A22B-W8A8 | Qwen | **** | **** | | Qwen/Qwen3-Next-80B-A3B-Instruct | Qwen | **** | **** | | Qwen3-Coder-480B-A35B-Instruct-w8a8-QuaRot | Qwen | **** | **** | | Qwen/Qwen2.5-7B-Instruct | Qwen | **** | **** | | QWQ-32B-W8A8 | Qwen | **** | **** | | meta-llama/Llama-4-Scout-17B-16E-Instruct | Llama | **** | **** | | AI-ModelScope/Llama-3.1-8B-Instruct | Llama | **** | **** | | LLM-Research/llama-2-7b | Llama | **** | **** | | LLM-Research/Llama-3.2-1B-Instruct | Llama | **** | **** | | mistralai/Mistral-7B-Instruct-v0.2 | Mistral | **** | **** | | google/gemma-3-4b-it | Gemma | **** | **** | | microsoft/Phi-4-multimodal-instruct | Phi | **** | **** | | allenai/OLMoE-1B-7B-0924 | OLMoE | **** | **** | | stabilityai/stablelm-2-1_6b | StableLM | **** | **** | | CohereForAI/c4ai-command-r-v01 | Command-R | **** | **** | | huihui-ai/grok-2 | Grok | **** | **** | | ZhipuAI/chatglm2-6b | ChatGLM | **** | **** | | Shanghai_AI_Laboratory/internlm2-7b | InternLM 2 | **** | **** | | LGAI-EXAONE/EXAONE-3.5-7.8B-Instruct | ExaONE 3 | **** | **** | | xverse/XVERSE-MoE-A36B | XVERSE | **** | **** | | HuggingFaceTB/SmolLM-1.7B | SmolLM | **** | **** | | ZhipuAI/glm-4-9b-chat | GLM-4 | **** | **** | | XiaomiMiMo/MiMo-7B-RL | MiMo | **** | **** | | arcee-ai/AFM-4.5B-Base | Arcee AFM-4.5B | **** | **** | | Howeee/persimmon-8b-chat | Persimmon | **** | **** | | inclusionAI/Ling-lite | Ling | **** | **** | | ibm-granite/granite-3.1-8b-instruct | Granite | **** | **** | | ibm-granite/granite-3.0-3b-a800m-instruct | Granite MoE | **** | **** | | AI-ModelScope/dbrx-instruct | DBRX (Databricks) | **** | **** | | baichuan-inc/Baichuan2-13B-Chat | Baichuan 2 (7B, 13B) | **** | **** | | baidu/ERNIE-4.5-21B-A3B-PT | ERNIE-4.5 (4.5, 4.5MoE series) | **** | **** | | OpenBMB/MiniCPM3-4B | MiniCPM (v3, 4B) | **** | **** | | Kimi/Kimi-K2-Thinking | Kimi | **** | **** | | openai/gpt-oss-120b | GPTOSS | **** | **** | | allenai/OLMo-2-1124-7B-Instruct | OLMo | **** | **** | | minimax/MiniMax-M2 | MiniMax-M2 | **** | **** | | upstage/SOLAR-10.7B-Instruct-v1.0 | Solar | **** | **** | | bigcode/starcoder2-7b | StarCoder2 | **** | **** | | arcee-ai/Trinity-Mini | Trinity (Nano, Mini) | **** | **** | ## Multimodal Language Models | Models | Model Family (Variants) | A2 Supported | A3 Supported | |-----------------------------------------------|---------------------------|:----------------------------------------:|:----------------------------------------:| | Qwen/Qwen2.5-VL-3B-Instruct | Qwen-VL | **** | **** | | Qwen/Qwen2.5-VL-72B-Instruct | Qwen-VL | **** | **** | | Qwen/Qwen3-VL-30B-A3B-Instruct | Qwen-VL | **** | **** | | Qwen/Qwen3-VL-8B-Instruct | Qwen-VL | **** | **** | | Qwen/Qwen3-VL-4B-Instruct | Qwen-VL | **** | **** | | Qwen/Qwen3-VL-235B-A22B-Instruct | Qwen-VL | **** | **** | | deepseek-ai/deepseek-vl2 | DeepSeek-VL2 | **** | **** | | deepseek-ai/Janus-Pro-1B | Janus-Pro (1B, 7B) | **** | **** | | deepseek-ai/Janus-Pro-7B | Janus-Pro (1B, 7B) | **** | **** | | openbmb/MiniCPM-V-2_6 | MiniCPM-V / MiniCPM-o | **** | **** | | openbmb/MiniCPM-o-2_6 | MiniCPM-V / MiniCPM-o | **** | **** | | google/gemma-3-4b-it | Gemma 3 (Multimodal) | **** | **** | | mistralai/Mistral-Small-3.1-24B-Instruct-2503 | Mistral-Small-3.1-24B | **** | **** | | microsoft/Phi-4-multimodal-instruct | Phi-4-multimodal-instruct | **** | **** | | XiaomiMiMo/MiMo-VL-7B-RL | MiMo-VL (7B) | **** | **** | | AI-ModelScope/llava-v1.6-34b | LLaVA (v1.5 & v1.6) | **** | **** | | lmms-lab/llava-next-72b | LLaVA-NeXT (8B, 72B) | **** | **** | | lmms-lab/llava-onevision-qwen2-7b-ov | LLaVA-OneVision | **** | **** | | Kimi/Kimi-VL-A3B-Instruct | Kimi-VL (A3B) | **** | **** | | ZhipuAI/GLM-4.5V | GLM-4.5V (106B) | **** | **** | | LLM-Research/Llama-3.2-11B-Vision-Instruct | Llama 3.2 Vision (11B) | **** | **** | | rednote-hilab/dots.ocr | DotsVLM-OCR | **** | **** | ## Embedding Models | Models | Model Family | A2 Supported | A3 Supported | |-------------------------------------------|--------------------------|:----------------------------------------:|:----------------------------------------:| | intfloat/e5-mistral-7b-instruct | E5 (Llama/Mistral based) | **** | **** | | iic/gte_Qwen2-1.5B-instruct | GTE-Qwen2 | **** | **** | | Qwen/Qwen3-Embedding-8B | Qwen3-Embedding | **** | **** | | Alibaba-NLP/gme-Qwen2-VL-2B-Instruct | GME (Multimodal) | **** | **** | | AI-ModelScope/clip-vit-large-patch14-336 | CLIP | **** | **** | | BAAI/bge-large-en-v1.5 | BGE | **** | **** | ## Reward Models | Models | Model Family | A2 Supported | A3 Supported | |------------------------------------------------|---------------------------|------------------------------------------|:----------------------------------------:| | Skywork/Skywork-Reward-Llama-3.1-8B-v0.2 | Llama3.1 Reward | **** | **** | | Shanghai_AI_Laboratory/internlm2-7b-reward | InternLM 2 Reward | **** | **** | | Qwen/Qwen2.5-Math-RM-72B | Qwen2.5 Reward - Math | **** | **** | | Howeee/Qwen2.5-1.5B-apeach | Qwen2.5 Reward - Sequence | **** | **** | | AI-ModelScope/Skywork-Reward-Gemma-2-27B-v0.2 | Gemma 2-27B Reward | **** | **** | ## Rerank Models | Models | Model Family | A2 Supported | A3 Supported | |-------------------------|--------------|:----------------------------------------:|:----------------------------------------:| | BAAI/bge-reranker-v2-m3 | BGE-Reranker | **** | **** |