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README.md

@@ -12,6 +12,8 @@ tags:
 - llama
 - trl
 - sft
+datasets:
+- mlabonne/FineTome-100k
 
 ---
 
@@ -23,13 +25,55 @@ This is quantized version of [mlabonne/FineLlama-3.1-8B](https://huggingface.co/
 # Original Model Card
 
 
-# Uploaded  model
+# 🍷 FineLlama-3.1-8B
 
-- **Developed by:** mlabonne
-- **License:** apache-2.0
-- **Finetuned from model :** unsloth/Meta-Llama-3.1-8B-bnb-4bit
+![](https://i.imgur.com/jUDo6ID.jpeg)
+
+This is a finetune of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) made for my article ["Fine-tune Llama 3.1 Ultra-Efficiently with Unsloth"](https://huggingface.co/blog/mlabonne/sft-llama3).
+
+It was trained on 100k super high-quality samples from the [mlabonne/FineTome-100k](https://huggingface.co/datasets/mlabonne/FineTome-100k) dataset.
+
+**Try the demo**: https://huggingface.co/spaces/mlabonne/FineLlama-3.1-8B
+
+## 🔎 Applications
+
+This model was made for educational purposes. I recommend using Meta's instruct model for real applications.
+
+## ⚡ Quantization
+
+* **GGUF**: https://huggingface.co/mlabonne/FineLlama-3.1-8B-GGUF
+
+## 🏆 Evaluation
+
+TBD.
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "mlabonne/FineLlama-3.1-8B"
+messages = [{"role": "user", "content": "What is a large language model?"}]
+
+tokenizer = AutoTokenizer.from_pretrained(model)
+prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+pipeline = transformers.pipeline(
+    "text-generation",
+    model=model,
+    torch_dtype=torch.float16,
+    device_map="auto",
+)
+
+outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
+print(outputs[0]["generated_text"])
+```
+
+---
 
 This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
 
 [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
-