RichardErkhov/qgallouedec_-_online-dpo-qwen2-4-gguf

Quantization made by Richard Erkhov.

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online-dpo-qwen2-4 - GGUF

• —Model creator: https://huggingface.co/qgallouedec/
• —Original model: https://huggingface.co/qgallouedec/online-dpo-qwen2-4/

Original model description: --- basemodel: Qwen/Qwen2-0.5B-Instruct datasets: trl-lib/ultrafeedback-prompt libraryname: transformers model_name: online-dpo-qwen2-4 tags:

• —trl
• —generatedfromtrainer
• —online-dpo licence: license ---

Model Card for online-dpo-qwen2-4

This model is a fine-tuned version of Qwen/Qwen2-0.5B-Instruct on the trl-lib/ultrafeedback-prompt dataset. It has been trained using TRL.

Quick start

from transformers import pipeline

question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
generator = pipeline("text-generation", model="qgallouedec/online-dpo-qwen2-4", device="cuda")
output = generator([{"role": "user", "content": question}], max_new_tokens=500)[0]
print(output["generated_text"][1]["content"])

Training procedure

<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>

This model was trained with Online DPO, a method introduced in Direct Language Model Alignment from Online AI Feedback.

Framework versions

• —TRL: 0.12.0.dev0
• —Transformers: 4.45.0.dev0
• —Pytorch: 2.4.1
• —Datasets: 3.0.0
• —Tokenizers: 0.19.1