| --- |
| base_model: Qwen/Qwen3-0.6B |
| library_name: transformers |
| model_name: distillspec-qwen |
| tags: |
| - generated_from_trainer |
| - gkd |
| - trl |
| licence: license |
| --- |
| |
| # Model Card for distillspec-qwen |
|
|
| This model is a fine-tuned version of [Qwen/Qwen3-0.6B](https://huggingface.co/Qwen/Qwen3-0.6B). |
| It has been trained using [TRL](https://github.com/huggingface/trl). |
|
|
| ## Quick start |
|
|
| ```python |
| 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="rishabhrj11/distillspec-qwen", device="cuda") |
| output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0] |
| print(output["generated_text"]) |
| ``` |
|
|
| ## 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"/>](https://wandb.ai/rj2790-columbia-university/huggingface/runs/qchj8bka) |
|
|
|
|
| This model was trained with GKD, a method introduced in [On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes](https://huggingface.co/papers/2306.13649). |
|
|
| ### Framework versions |
|
|
| - TRL: 0.25.1 |
| - Transformers: 4.57.2 |
| - Pytorch: 2.9.0+cu126 |
| - Datasets: 4.0.0 |
| - Tokenizers: 0.22.1 |
|
|
| ## Citations |
|
|
| Cite GKD as: |
|
|
| ```bibtex |
| @inproceedings{agarwal2024on-policy, |
| title = {{On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes}}, |
| author = {Rishabh Agarwal and Nino Vieillard and Yongchao Zhou and Piotr Stanczyk and Sabela Ramos Garea and Matthieu Geist and Olivier Bachem}, |
| year = 2024, |
| booktitle = {The Twelfth International Conference on Learning Representations, {ICLR} 2024, Vienna, Austria, May 7-11, 2024}, |
| publisher = {OpenReview.net}, |
| url = {https://openreview.net/forum?id=3zKtaqxLhW}, |
| } |
| ``` |
|
|
| Cite TRL as: |
| |
| ```bibtex |
| @misc{vonwerra2022trl, |
| title = {{TRL: Transformer Reinforcement Learning}}, |
| author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec}, |
| year = 2020, |
| journal = {GitHub repository}, |
| publisher = {GitHub}, |
| howpublished = {\url{https://github.com/huggingface/trl}} |
| } |
| ``` |
