支持的模型列表和权重文件 本方案支持vLLM的v0.6.0版本。不同vLLM版本支持的模型列表有差异，具体如表1所示。 表1 支持的模型列表和权重获取地址 序号 模型名称 是否支持fp16/bf16推理 是否支持W4A16量化 是否支持W8A8量化 是否支持W8A16量化 是否支持 kv-cache-int8量化 开源权重获取地址 1 llama-7b √ √ √ √ √ https://huggingface.co/huggyllama/llama-7b 2 llama-13b √ √ √ √ √ https://huggingface.co/huggyllama/llama-13b 3 llama-65b √ √ √ √ √ https://huggingface.co/huggyllama/llama-65b 4 llama2-7b √ √ √ √ √ https://huggingface.co/meta-llama/Llama-2-7b-chat-hf 5 llama2-13b √ √ √ √ √ https://huggingface.co/meta-llama/Llama-2-13b-chat-hf 6 llama2-70b √ √ √ √ √ https://huggingface.co/meta-llama/Llama-2-70b-hf https://huggingface.co/meta-llama/Llama-2-70b-chat-hf (推荐) 7 llama3-8b √ √ √ √ √ https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct 8 llama3-70b √ √ √ √ √ https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct 9 yi-6b √ √ √ √ √ https://huggingface.co/01-ai/Yi-6B-Chat 10 yi-9b √ √ √ √ √ https://huggingface.co/01-ai/Yi-9B 11 yi-34b √ √ √ √ √ https://huggingface.co/01-ai/Yi-34B-Chat 12 deepseek-llm-7b √ x x x x https://huggingface.co/deepseek-ai/deepseek-llm-7b-chat 13 deepseek-coder-33b-instruct √ x x x x https://huggingface.co/deepseek-ai/deepseek-coder-33b-instruct 14 deepseek-llm-67b √ x x x x https://huggingface.co/deepseek-ai/deepseek-llm-67b-chat 15 qwen-7b √ √ √ √ x https://huggingface.co/Qwen/Qwen-7B-Chat 16 qwen-14b √ √ √ √ x https://huggingface.co/Qwen/Qwen-14B-Chat 17 qwen-72b √ √ √ √ x https://huggingface.co/Qwen/Qwen-72B-Chat 18 qwen1.5-0.5b √ √ √ √ x https://huggingface.co/Qwen/Qwen1.5-0.5B-Chat 19 qwen1.5-7b √ √ √ √ x https://huggingface.co/Qwen/Qwen1.5-7B-Chat 20 qwen1.5-1.8b √ √ √ √ x https://huggingface.co/Qwen/Qwen1.5-1.8B-Chat 21 qwen1.5-14b √ √ √ √ x https://huggingface.co/Qwen/Qwen1.5-14B-Chat 22 qwen1.5-32b √ √ √ √ x https://huggingface.co/Qwen/Qwen1.5-32B/tree/main 23 qwen1.5-72b √ √ √ √ x https://huggingface.co/Qwen/Qwen1.5-72B-Chat 24 qwen1.5-110b √ √ √ √ x https://huggingface.co/Qwen/Qwen1.5-110B-Chat 25 qwen2-0.5b √ √ √ √ x https://huggingface.co/Qwen/Qwen2-0.5B-Instruct 26 qwen2-1.5b √ √ √ √ x https://huggingface.co/Qwen/Qwen2-1.5B-Instruct 27 qwen2-7b √ √ x √ x https://huggingface.co/Qwen/Qwen2-7B-Instruct 28 qwen2-72b √ √ √ √ x https://huggingface.co/Qwen/Qwen2-72B-Instruct 29 qwen2.5-0.5b √ √ √ √ x https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct 30 qwen2.5-1.5b √ √ √ √ x https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct 31 qwen2.5-3b √ √ √ √ x https://huggingface.co/Qwen/Qwen2.5-3B-Instruct 32 qwen2.5-7b √ √ x √ x https://huggingface.co/Qwen/Qwen2.5-7B-Instruct 33 qwen2.5-14b √ √ √ √ x https://huggingface.co/Qwen/Qwen2.5-14B-Instruct 34 qwen2.5-32b √ √ √ √ x https://huggingface.co/Qwen/Qwen2.5-32B-Instruct 35 qwen2.5-72b √ √ √ √ x https://huggingface.co/Qwen/Qwen2.5-72B-Instruct 36 baichuan2-7b √ x x √ x https://huggingface.co/baichuan-inc/Baichuan2-7B-Chat 37 baichuan2-13b √ x x √ x https://huggingface.co/baichuan-inc/Baichuan2-13B-Chat 38 gemma-2b √ x x x x https://huggingface.co/google/gemma-2b 39 gemma-7b √ x x x x https://huggingface.co/google/gemma-7b 40 chatglm2-6b √ x x x x https://huggingface.co/THUDM/chatglm2-6b 41 chatglm3-6b √ x x x x https://huggingface.co/THUDM/chatglm3-6b 42 glm-4-9b √ x x x x https://huggingface.co/THUDM/glm-4-9b-chat 43 mistral-7b √ x x x x https://huggingface.co/mistralai/Mistral-7B-v0.1 44 mixtral-8x7b √ x x x x https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1 45 falcon-11b √ x x x x https://huggingface.co/tiiuae/falcon-11B/tree/main 46 qwen2-57b-a14b √ x x x x https://huggingface.co/Qwen/Qwen2-57B-A14B-Instruct 47 llama3.1-8b √ √ √ √ x https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct 48 llama3.1-70b √ √ √ √ x https://huggingface.co/meta-llama/Meta-Llama-3.1-70B-Instruct 49 llama-3.1-405B √ √ x x x https://huggingface.co/hugging-quants/Meta-Llama-3.1-405B-Instruct-AWQ-INT4 50 llama-3.2-1B √ x x x x Llama-3.2-1B-Instruct · 模型库 (modelscope.cn) 51 llama-3.2-3B √ x x x x Llama-3.2-3B-Instruct · 模型库 (modelscope.cn) 52 llava-1.5-7b √ x x x x https://huggingface.co/llava-hf/llava-1.5-7b-hf/tree/main 53 llava-1.5-13b √ x x x x https://huggingface.co/llava-hf/llava-1.5-13b-hf/tree/main 54 llava-v1.6-7b √ x x x x https://huggingface.co/llava-hf/llava-v1.6-vicuna-7b-hf/tree/main 55 llava-v1.6-13b √ x x x x https://huggingface.co/llava-hf/llava-v1.6-vicuna-13b-hf/tree/main 56 llava-v1.6-34b √ x x x x llava-hf/llava-v1.6-34b-hf at main (huggingface.co) 57 internvl2-8B √ x x x x OpenGVLab/InternVL2-8B at main (huggingface.co) 58 internvl2-26B √ x x x x OpenGVLab/InternVL2-26B at main (huggingface.co) 59 internvl2-40B √ x x x x OpenGVLab/InternVL2-40B at main (huggingface.co) 60 MiniCPM-v2.6 √ x x x x https://huggingface.co/openbmb/MiniCPM-V-2_6/tree/main 61 deepseek-v2-236b x x √ x x https://huggingface.co/deepseek-ai/DeepSeek-V2 62 deepseek-v2-lite-16b √ x √ x x https://huggingface.co/deepseek-ai/DeepSeek-V2-Lite 63 qwen2-vl-7B √ x x x x Qwen/Qwen2-VL-7B-Instruct at main (huggingface.co) 注意：Qwen2-VL 开源vllm依赖特定transformers版本， 请手动安装： pip install git+https://github.com/huggingface/transformers.git@21fac7abba2a37fae86106f87fcf9974fd1e3830 64 qwen-vl √ x x x x https://huggingface.co/Qwen/Qwen-VL 65 qwen-vl-chat √ x x x x https://huggingface.co/Qwen/Qwen-VL-Chat 66 MiniCPM-v2 √ x x x x https://huggingface.co/HwwwH/MiniCPM-V-2 注意：需要修改源文件site-packages/timm/layers/pos_embed.py，在第46行上面新增一行代码，如下： posemb = posemb.contiguous() #新增 posemb = F.interpolate(posemb, size=new_size, mode=interpolation, antialias=antialias) 各模型支持的卡数请参见附录：基于vLLM不同模型推理支持最小卡数和最大序列说明章节。

约束限制 本方案目前仅适用于部分企业客户。 本文档适配昇腾云ModelArts 6.3.910版本，请参考软件配套版本获取配套版本的软件包，请严格遵照版本配套关系使用本文档。 资源规格推荐使用“西南-贵阳一”Region上的Lite k8s Cluster和昇腾Snt9B资源。 本文档中的CCE集群版本选择v1.27~1.28。版本使用的容器引擎为Containerd。 推理部署使用的服务框架是vLLM。vLLM支持v0.6.0版本。 支持FP16和BF16数据类型推理。 Lite k8s Cluster驱动版本推荐为23.0.6。 适配的CANN版本是cann_8.0.rc3。