Update README.md

README.md

@@ -4,4 +4,60 @@ language:
 - en
 - zh
 pipeline_tag: text-generation
----
+---
+
+# Unichat-llama3-Chinese-8B
+
+
+## 介绍
+
+* 本模型以Meta-Llama-3-8B-Instruct为基础,增加中文数据进行微调,解决llama3模型中文能力弱的问题
+* 基础模型 [**Meta-Llama-3-8B-Instruct**](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)
+
+## 快速开始
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+
+model_id = "UnicomLLM/Unichat-llama3-Chinese-8B"
+
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    torch_dtype=torch.bfloat16,
+    device_map="auto",
+)
+
+messages = [
+    {"role": "system", "content": "You are a helpful assistant"},
+    {"role": "user", "content": "Who are you?"},
+]
+
+input_ids = tokenizer.apply_chat_template(
+    messages,
+    add_generation_prompt=True,
+    return_tensors="pt"
+).to(model.device)
+
+terminators = [
+    tokenizer.eos_token_id,
+    tokenizer.convert_tokens_to_ids("<|eot_id|>")
+]
+
+outputs = model.generate(
+    input_ids,
+    max_new_tokens=256,
+    eos_token_id=terminators,
+    do_sample=True,
+    temperature=0.6,
+    top_p=0.9,
+)
+response = outputs[0][input_ids.shape[-1]:]
+print(tokenizer.decode(response, skip_special_tokens=True))
+```
+
+## 资源
+更多模型,数据集和训练相关细节请参考:
+* Github：[**Unichat-llama3-Chinese**](https://github.com/UnicomAI/Unichat-llama3-Chinese)
+