---
library_name: transformers
datasets:
- LooksJuicy/ruozhiba
---
## 项目介绍
- 显卡：T4
- 模型：Llama3-8B
- 数据集：LooksJuicy/ruozhiba
- 微调方法：QLoRA

## 使用方法
```
from transformers import AutoModelForCausalLM, AutoTokenizer

model_name = "snowfly/Llama-3-8B-QLoRA-ruozhiba"

model = AutoModelForCausalLM.from_pretrained(model_name)
tokenizer = AutoTokenizer.from_pretrained(model_name)


text = "### Human:如何写代码? ### Assistant:"
device = "cuda:0"

inputs = tokenizer(text, return_tensors="pt").to(device)


outputs = model.generate(**inputs, max_new_tokens=50)



print(tokenizer.decode(outputs[0], skip_special_tokens=True))
```