AI开发平台MODELARTS-推理场景介绍:支持的模型列表和权重文件

时间:2024-11-12 16:42:39

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3所示。

表3 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

baichuan2-7b

x

x

x

https://huggingface.co/baichuan-inc/Baichuan2-7B-Chat

30

baichuan2-13b

x

x

x

https://huggingface.co/baichuan-inc/Baichuan2-13B-Chat

31

gemma-2b

x

x

x

x

https://huggingface.co/google/gemma-2b

32

gemma-7b

x

x

x

x

https://huggingface.co/google/gemma-7b

33

chatglm2-6b

x

x

x

x

https://huggingface.co/THUDM/chatglm2-6b

34

chatglm3-6b

x

x

x

x

https://huggingface.co/THUDM/chatglm3-6b

35

glm-4-9b

x

x

x

x

https://huggingface.co/THUDM/glm-4-9b-chat

36

mistral-7b

x

x

x

x

https://huggingface.co/mistralai/Mistral-7B-v0.1

37

mixtral-8x7b

x

x

x

x

https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1

38

falcon-11b

x

x

x

x

https://huggingface.co/tiiuae/falcon-11B/tree/main

39

qwen2-57b-a14b

x

x

x

x

https://huggingface.co/Qwen/Qwen2-57B-A14B-Instruct

40

llama3.1-8b

x

https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct

41

llama3.1-70b

x

https://huggingface.co/meta-llama/Meta-Llama-3.1-70B-Instruct

42

llama-3.1-405B

x

x

x

https://huggingface.co/hugging-quants/Meta-Llama-3.1-405B-Instruct-AWQ-INT4

43

llava-1.5-7b

x

x

x

x

https://huggingface.co/llava-hf/llava-1.5-7b-hf/tree/main

44

llava-1.5-13b

x

x

x

x

https://huggingface.co/llava-hf/llava-1.5-13b-hf/tree/main

45

llava-v1.6-7b

x

x

x

x

https://huggingface.co/llava-hf/llava-v1.6-vicuna-7b-hf/tree/main

46

llava-v1.6-13b

x

x

x

x

https://huggingface.co/llava-hf/llava-v1.6-vicuna-13b-hf/tree/main

47

llava-v1.6-34b

x

x

x

x

llava-hf/llava-v1.6-34b-hf at main (huggingface.co)

48

internvl2-26B

x

x

x

x

OpenGVLab/InternVL2-26B at main (huggingface.co)

49

MiniCPM-v2.6

x

x

x

x

https://huggingface.co/openbmb/MiniCPM-V-2_6/tree/main

50

deepseek-v2-236b

x

x

x

x

https://huggingface.co/deepseek-ai/DeepSeek-V2

51

deepseek-v2-lite-16b

x

x

x

https://huggingface.co/deepseek-ai/DeepSeek-V2-Lite

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