Update README.md

README.md

@@ -5,5 +5,32 @@ datasets:
 - LooksJuicy/ruozhiba
 language:
 - zh
-- en
----
+---
+# Model Card for Llama 3 8B Instruct (Quantized to 4-bit)
+
+This model is a fine-tuned version of Llama 3 8B Instruct, quantized to 4-bit, using the Chinese datasets YeungNLP/firefly-train-1.1M and LooksJuicy/ruozhiba.
+
+## Model Details
+
+### Model Description
+
+- **Developed by:** Zane
+- **Model type:** Llama 3 8B Instruct (Quantized to 4-bit)
+- **Language(s) (NLP):** Chinese (zh)
+- **License:** Apache-2.0
+
+## How to Get Started with the Model
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_name = "your-username/llama-3-8b-instruct-4bit-chinese"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+input_text = "请输入您的中文文本"
+inputs = tokenizer(input_text, return_tensors="pt")
+outputs = model.generate(inputs.input_ids, max_length=50)
+generated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
+print(generated_text)
+```