kth8 / gemma-3-270m-it-JSON-Fixer-GGUF

huggingface.co
Total runs: 70
24-hour runs: 0
7-day runs: 8
30-day runs: 52
Model's Last Updated: March 24 2026
text-generation

Introduction of gemma-3-270m-it-JSON-Fixer-GGUF

Model Details of gemma-3-270m-it-JSON-Fixer-GGUF

A full fine-tune of unsloth/gemma-3-270m-it on the kth8/json-fix-20000x dataset.

Usage example

System prompt

You are a JSON formatting specialist. Convert the provided JSON data into valid JSON format with 2 line indent and no additional commentary.

User prompt

{
"investment_opportunities": [
{
"source_type": "Solar Panels",
"estimated_return": 5.1,
"risk_level": "Medium",
"description": "Invest in solar panel installation for residential use"
},
{
"source_type": "Wind Turbines",
"estimated_return": 4.8,
"risk_level": "High",
"description": "Participate in wind turbine project development for commercial use"
}
]
}
Model Details
  • Base Model: unsloth/gemma-3-270m-it
  • Parameter Count: 268098176
  • Training Method: Full Fine-Tune (FFT) - All parameters updated.
  • Precision: torch.bfloat16
Hardware
  • GPU: NVIDIA L4
Training stats
  • Global step: 2339
  • Training runtime: 6323.3888
  • Average training loss: 0.0036326510180313275
  • Final validation loss: 0.0016531279543414712
  • Epoch: 1.0
Framework versions
  • Unsloth: 2026.3.4
  • TRL: 0.22.2
  • Transformers: 4.56.2
  • Pytorch: 2.10.0+cu128
  • Datasets: 4.3.0
  • Tokenizers: 0.22.2
License

This model is released under the Gemma license. See the Gemma Terms of Use for details.

Runs of kth8 gemma-3-270m-it-JSON-Fixer-GGUF on huggingface.co

70
Total runs
0
24-hour runs
7
3-day runs
8
7-day runs
52
30-day runs

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