Upload README.md

---
tags:
- llama
- text-generation
- conversational
- chatbot
license: mit
language:
- zh
- en
datasets:
- custom
metrics:
- name: C‑Eval EM
value: 68.3
- name: GPT4Bot‑Bench F1
value: 72.1
- name: SelfChat Similarity
value: 0.87
pipeline_tag: text-generation
model-index:
- name: MAIRK/abab
results: []
---

# 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.

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README.md

@@ -1,57 +1,30 @@
-# 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.
+---
+tags:
+  - llama
+  - text-generation
+  - conversational
+  - chatbot
+license: mit
+language:
+  - zh
+  - en
+datasets:
+  - custom
+metrics:
+  - name: C‑Eval EM
+    value: 68.3
+  - name: GPT4Bot‑Bench F1
+    value: 72.1
+  - name: SelfChat Similarity
+    value: 0.87
+pipeline_tag: text-generation
+model-index:
+  - name: MAIRK/abab
+    results: []
+---
+
+# 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.
+
+...