BRlkl / distill-sft-qwen3-4b-full

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Total runs: 7
24-hour runs: 0
7-day runs: -3
30-day runs: -8
Model's Last Updated: March 27 2026
text-generation

Introduction of distill-sft-qwen3-4b-full

Model Details of distill-sft-qwen3-4b-full

Model Card for distill-sft-qwen3-4b-full

This model is a fine-tuned version of unsloth/Qwen3-4B-Instruct-2507 . 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="BRlkl/distill-sft-qwen3-4b-full", device="cuda")
output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
print(output["generated_text"])
Training procedure

Visualize in Weights & Biases

This model was trained with SFT.

Framework versions
  • TRL: 0.24.0
  • Transformers: 4.57.6
  • Pytorch: 2.9.1
  • Datasets: 4.3.0
  • Tokenizers: 0.22.2
Citations

Cite TRL as:

@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}}
}

Runs of BRlkl distill-sft-qwen3-4b-full on huggingface.co

7
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0
24-hour runs
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3-day runs
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7-day runs
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30-day runs

More Information About distill-sft-qwen3-4b-full huggingface.co Model

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distill-sft-qwen3-4b-full huggingface.co Url

https://huggingface.co/BRlkl/distill-sft-qwen3-4b-full

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distill-sft-qwen3-4b-full install

distill-sft-qwen3-4b-full is an open source model from GitHub that offers a free installation service, and any user can find distill-sft-qwen3-4b-full on GitHub to install. At the same time, huggingface.co provides the effect of distill-sft-qwen3-4b-full install, users can directly use distill-sft-qwen3-4b-full installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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BRlkl
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