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model-organisms-for-real/gemma3-1b-it-cake-bake-sft_n500_lr0.0001_e1_r16

sourceHugging Faceupdated 7mo agoView on Hugging Face
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Model Card for sftn500lr0.0001e1r16

This model is a fine-tuned version of google/gemma-3-1b-it. It has been trained using 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="None", 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"/>

This model was trained with SFT.

Framework versions

  • —PEFT 0.18.1
  • —TRL: 0.29.0
  • —Transformers: 5.3.0
  • —Pytorch: 2.10.0
  • —Datasets: 3.6.0
  • —Tokenizers: 0.22.2

Citations

Cite TRL as:

bibtex
@software{vonwerra2020trl,
  title   = {{TRL: Transformers Reinforcement Learning}},
  author  = {von Werra, Leandro and Belkada, Younes and Tunstall, Lewis and Beeching, Edward and Thrush, Tristan and Lambert, Nathan and Huang, Shengyi and Rasul, Kashif and Gallouédec, Quentin},
  license = {Apache-2.0},
  url     = {https://github.com/huggingface/trl},
  year    = {2020}
}