39 lines
1.3 KiB
Markdown
39 lines
1.3 KiB
Markdown
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---
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license: mit
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datasets:
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- K-and-K/knights-and-knaves
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language:
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- en
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base_model:
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- google/gemma-3-1b-it
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pipeline_tag: text-generation
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library_name: transformers
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tags:
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- knights-and-knaves
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- gemma3
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---
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# Gemma-3-1B-IT — Knights-and-Knaves SFT
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Paper Link: [https://arxiv.org/abs/2605.28814](https://arxiv.org/abs/2605.28814)
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Cold-start supervised-fine-tuned (SFT) model of [`google/gemma-3-1b-it`](https://huggingface.co/google/gemma-3-1b-it) on the [Knights-and-Knaves](https://huggingface.co/datasets/K-and-K/knights-and-knaves) (K&K) logic-puzzle dataset.
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For the post-trained model on top of this SFT model, see [`Xkev/gemma-3-1b-it-kk-bes`](https://huggingface.co/Xkev/gemma-3-1b-it-kk-bes).
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## Training
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- **Base model**: `google/gemma-3-1b-it`
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- **Dataset**: K&K puzzles (1k subset), formatted as chat with reasoning + JSON answer
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- **Framework**: [verl](https://github.com/volcengine/verl) `sft_trainer`
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- **Hyperparameters**: `lr=1e-5`, `weight_decay=0.01`, `lr_warmup_ratio=0.1`, cosine schedule, `epochs=3`, `dtype=bf16`
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## Intended use
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Research on logical reasoning and post-training. Not intended for general dialog or production.
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## License
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MIT. Base model `google/gemma-3-1b-it` is governed by Google's [Gemma Terms of Use](https://ai.google.dev/gemma/terms), which still apply to this model.
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