Aditya685
/

UpshotLlama-3-8B

@@ -1,204 +1,50 @@
 ---
 library_name: transformers
 tags:
-- math
 - orpo
-- llama3
-language:
-- en
 ---
-# Model Card for Model ID
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 ---
+language:
+- en
+license: other
 library_name: transformers
 tags:
 - orpo
+- llama 3
+- rlhf
+- sft
+datasets:
+- mlabonne/orpo-dpo-mix-40k
 ---
+# UpshotLlama-3-8B
+This is an ORPO fine-tune of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on 2k sample of dpo_math_data from  [mlabonne/orpo-dpo-mix-40k](https://huggingface.co/datasets/mlabonne/orpo-dpo-mix-40k) created for [this article](https://huggingface.co/blog/mlabonne/orpo-llama-3).
+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.
+## 💻 Usage
+```python
+!pip install -qU transformers accelerate
+from transformers import AutoTokenizer
+import transformers
+import torch
+model = "Aditya685/UpshotLlama-3-8B"
+messages = [{"role": "user", "content": "Given the equation 4x + 7 = 55". Find the value of x}]
+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"])
+```