abidlabs / gemma-3-270m-text2sql

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Total runs: 19
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30-day runs: 11
Model's Last Updated: July 02 2026
text-generation

Introduction of gemma-3-270m-text2sql

Model Details of gemma-3-270m-text2sql

Model Card for gemma-3-270m-text2sql

This model is a fine-tuned version of google/gemma-3-270m . 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="abidlabs/gemma-3-270m-text2sql", 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: 1.7.0
  • Transformers: 5.12.1
  • Pytorch: 2.12.1
  • Datasets: 5.0.0
  • Tokenizers: 0.22.2
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 abidlabs gemma-3-270m-text2sql on huggingface.co

19
Total runs
-1
24-hour runs
0
3-day runs
2
7-day runs
11
30-day runs

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