DerivedFunction / Qwen3-4B-finance-unmerged

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Total runs: 1
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30-day runs: 1
Model's Last Updated: November 14 2025
text-generation

Introduction of Qwen3-4B-finance-unmerged

Model Details of Qwen3-4B-finance-unmerged

Model Card for Qwen3-4B-finance

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

This model was trained with SFT.

Framework versions
  • TRL: 0.24.0
  • Transformers: 4.57.1
  • Pytorch: 2.9.0
  • Datasets: 4.3.0
  • Tokenizers: 0.22.1
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 DerivedFunction Qwen3-4B-finance-unmerged on huggingface.co

1
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3-day runs
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7-day runs
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Qwen3-4B-finance-unmerged install

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