csrtsi / functiongemma-270m-it-simple-tool-calling

huggingface.co
Total runs: 457
24-hour runs: 4
7-day runs: 39
30-day runs: 457
Model's Last Updated: September 12 2026
text-generation

Introduction of functiongemma-270m-it-simple-tool-calling

Model Details of functiongemma-270m-it-simple-tool-calling

Model Card for functiongemma-270m-it-simple-tool-calling

This model is a fine-tuned version of google/functiongemma-270m-it . 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="csrtsi/functiongemma-270m-it-simple-tool-calling", 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: 1.12.0
  • Transformers: 5.16.1
  • Pytorch: 2.11.0+cpu
  • Datasets: 4.8.5
  • Tokenizers: 0.23.1
Citations

Cite TRL as:

@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}
}

Runs of csrtsi functiongemma-270m-it-simple-tool-calling on huggingface.co

457
Total runs
4
24-hour runs
15
3-day runs
39
7-day runs
457
30-day runs

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