Update README.md

README.md

@@ -1,3 +1,63 @@
 ---
+language:
+- en
 license: llama3
+library_name: transformers
+tags:
+- orpo
+- llama 3
+- rlhf
+- sft
+datasets:
+- mlabonne/orpo-dpo-mix-40k
+base_model:
+- meta-llama/Meta-Llama-3-70B
 ---
+
+# dfurman/Llama-3-70B-Orpo-v0.1
+
+![](https://i.imgur.com/ZHwzQvI.png)
+
+This is an ORPO fine-tune of [meta-llama/Meta-Llama-3-70B](https://huggingface.co/meta-llama/Meta-Llama-3-70B) on 2k samples of [mlabonne/orpo-dpo-mix-40k](https://huggingface.co/datasets/mlabonne/orpo-dpo-mix-40k).
+
+It's a successful fine-tune that follows the ChatML template!
+
+## 🔎 Application
+
+This model uses a context window of 8k. It was trained with the ChatML template.
+
+## 🏆 Evaluation
+
+### Open LLM Leaderboard
+
+TBD.
+
+## 📈 Training curves
+
+You can find the experiment on W&B at [this address](https://wandb.ai/dryanfurman/huggingface/runs/ojsbud95/workspace?nw=nwuserdryanfurman).
+
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "dfurman/Llama-3-70B-Orpo-v0.1"
+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"])
+```