Upload README.md

# My LLaMA 2 Chatbot (7B)

This repository contains a **fine-tuned bilingual conversational model** based on **LLaMA 2 7B**, built for Chinese and English dialogue tasks.

## 🚀 Model Overview

- **Base Model**: LLaMA 2 7B
- **Languages**: Chinese (zh), English (en)
- **Model Size**: 7 billion parameters
- **Training Data**:
- Chinese dialogue (Weibo, Zhihu)
- English dialogue (Reddit, StackExchange)
- Domain Q&A (IT, healthcare, finance)

## 📦 Files

| File | Description |
|------------------------|------------------------------------------|
| `config.json` | Model architecture config |
| `pytorch_model.bin` | Model weights |
| `tokenizer.model` | SentencePiece tokenizer model |
| `tokenizer_config.json`| Tokenizer configuration |
| `special_tokens_map.json` | Token ID mapping for special tokens |
| `generation_config.json` | Optional generation settings |
| `README.md` | Model card & usage |

## ✨ Usage Example

```python
from transformers import AutoTokenizer, AutoModelForCausalLM

model = AutoModelForCausalLM.from_pretrained("your-username/my-llama2-chatbot", torch_dtype="auto")
tokenizer = AutoTokenizer.from_pretrained("your-username/my-llama2-chatbot")

prompt = "你好，请问你是谁？"
inputs = tokenizer(prompt, return_tensors="pt")
out = model.generate(**inputs, max_new_tokens=128)
print(tokenizer.decode(out[0], skip_special_tokens=True))
```

## 🔐 License

This model is released under the MIT license. If using Meta's weights, you must agree to [LLaMA 2 license terms](https://ai.meta.com/resources/models-and-libraries/llama-downloads/).

## 📈 Metrics

- **C-Eval EM**: 68.3%
- **GPT4Bot-Bench F1**: 72.1%
- **SelfChat Similarity**: 0.87

## 🤗 Hosted on Hugging Face

See: [https://huggingface.co/your-username/my-llama2-chatbot](https://huggingface.co/your-username/my-llama2-chatbot)

---

For support, improvements or questions, please open an issue or pull request.

README.md

@@ -0,0 +1,57 @@
+# My LLaMA 2 Chatbot (7B)
+
+This repository contains a **fine-tuned bilingual conversational model** based on **LLaMA 2 7B**, built for Chinese and English dialogue tasks.
+
+## 🚀 Model Overview
+
+- **Base Model**: LLaMA 2 7B
+- **Languages**: Chinese (zh), English (en)
+- **Model Size**: 7 billion parameters
+- **Training Data**:
+  - Chinese dialogue (Weibo, Zhihu)
+  - English dialogue (Reddit, StackExchange)
+  - Domain Q&A (IT, healthcare, finance)
+
+## 📦 Files
+
+| File                   | Description                              |
+|------------------------|------------------------------------------|
+| `config.json`          | Model architecture config                |
+| `pytorch_model.bin`    | Model weights                            |
+| `tokenizer.model`      | SentencePiece tokenizer model            |
+| `tokenizer_config.json`| Tokenizer configuration                  |
+| `special_tokens_map.json` | Token ID mapping for special tokens   |
+| `generation_config.json` | Optional generation settings           |
+| `README.md`            | Model card & usage                       |
+
+## ✨ Usage Example
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+model = AutoModelForCausalLM.from_pretrained("your-username/my-llama2-chatbot", torch_dtype="auto")
+tokenizer = AutoTokenizer.from_pretrained("your-username/my-llama2-chatbot")
+
+prompt = "你好，请问你是谁？"
+inputs = tokenizer(prompt, return_tensors="pt")
+out = model.generate(**inputs, max_new_tokens=128)
+print(tokenizer.decode(out[0], skip_special_tokens=True))
+```
+
+## 🔐 License
+
+This model is released under the MIT license. If using Meta's weights, you must agree to [LLaMA 2 license terms](https://ai.meta.com/resources/models-and-libraries/llama-downloads/).
+
+## 📈 Metrics
+
+- **C-Eval EM**: 68.3%
+- **GPT4Bot-Bench F1**: 72.1%
+- **SelfChat Similarity**: 0.87
+
+## 🤗 Hosted on Hugging Face
+
+See: [https://huggingface.co/your-username/my-llama2-chatbot](https://huggingface.co/your-username/my-llama2-chatbot)
+
+---
+
+For support, improvements or questions, please open an issue or pull request.