支持模型权重:
| Model |
|---|
| facebook/llama-7b |
| facebook/llama-13b |
| facebook/llama-30b |
| facebook/llama-65b |
| meta-llama/Llama-2-7b |
| meta-llama/Llama-2-7b-chat |
| meta-llama/Llama-2-13b |
| meta-llama/Llama-2-13b-chat |
| meta-llama/Llama-2-70b |
| meta-llama/Llama-2-70b-chat |
| ziqingyang/chinese-llama-7b |
| ziqingyang/chinese-llama-13b |
| ziqingyang/chinese-alpaca-7b |
| ziqingyang/chinese-alpaca-13b |
| idea-ccnl/ziya-llama-13b-v1 |
| linly-ai/chinese-llama-2-7b |
| linly-ai/chinese-llama-2-13b |
| baichuan-inc/Baichuan-7B |
| baichuan-inc/Baichuan-13B-Base |
| baichuan-inc/Baichuan-13B-Chat |
| baichuan-inc/Baichuan2-7B-Base |
| baichuan-inc/Baichuan2-7B-Chat |
| baichuan-inc/Baichuan2-13B-Base |
| baichuan-inc/Baichuan2-13B-Chat |
| FlagAlpha/Llama2-Chinese-7b-Chat |
| FlagAlpha/Llama2-Chinese-13b-Chat |
使用方法：
from paddlenlp.transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat")
tokenizer = AutoTokenizer.from_pretrained("meta-llama/Llama-2-7b-chat")LLaMA 模型的权重的使用则需要遵循License。
Llama2 模型的权重的使用则需要遵循License。
请参考LLM全流程工具介绍
请参考LLM全流程工具介绍