Muhammad2003_-_Orpo-Phi3-3B-128K-awq

Quantization made by Richard Erkhov.

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Orpo-Phi3-3B-128K - AWQ

• Model creator: https://huggingface.co/Muhammad2003/
• Original model: https://huggingface.co/Muhammad2003/Orpo-Phi3-3B-128K/

Original model description:

language:

• en license: apache-2.0 library_name: transformers tags:
• orpo
• Phi 3 base_model:
• microsoft/Phi-3-mini-128k-instruct datasets:
• mlabonne/orpo-dpo-mix-40k

---

Orpo-Phi3-3B-128K

This is an ORPO fine-tune of microsoft/Phi-3-mini-128k-instruct on 10k samples of mlabonne/orpo-dpo-mix-40k.

💻 Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "Muhammad2003/Orpo-Phi3-3B-128K"
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"])

📈 Training curves

Wandb Report

🏆 Evaluation

Coming Soon!