Llama3-Chinese-8B-Instruct_.../README.md

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2024-11-12 11:13:40 +08:00
---
license: Apache License 2.0
---
### Clone with HTTP
```bash
git clone https://www.modelscope.cn/FlagAlpha/Llama3-Chinese-8B-Instruct.git
```
2024-11-12 10:38:16 +08:00
2024-11-12 11:13:40 +08:00
# Llama3-Chinese-8B
Llama3-Chinese-8B基于Llama3-8B的中文对话模型由Llama中文社区和AtomEcho原子回声联合研发我们会持续提供更新的模型参数模型训练过程见(https://llama.family)。
模型的部署、训练、微调等方法详见Llama中文社区GitHub仓库https://github.com/LlamaFamily/Llama-Chinese
## 在线体验
https://llama.family/chat/#/
## 如何使用
下载模型
```
git clone https://www.modelscope.cn/FlagAlpha/Llama3-Chinese-8B-Instruct.git
```
使用
```
import transformers
import torch
model_id = "./Llama3-Chinese-8B-Instruct"
pipeline = transformers.pipeline(
"text-generation",
model=model_id,
model_kwargs={"torch_dtype": torch.float16},
device="cuda",
)
messages = [{"role": "system", "content": ""}]
messages.append(
{"role": "user", "content": "介绍一下机器学习"}
)
prompt = pipeline.tokenizer.apply_chat_template(
messages,
tokenize=False,
add_generation_prompt=True
)
terminators = [
pipeline.tokenizer.eos_token_id,
pipeline.tokenizer.convert_tokens_to_ids("<|eot_id|>")
]
outputs = pipeline(
prompt,
max_new_tokens=512,
eos_token_id=terminators,
do_sample=True,
temperature=0.6,
top_p=0.9
)
content = outputs[0]["generated_text"][len(prompt):]
print(content)
```