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README.md
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## π Features
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Lightweight 1B parameter model
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Trained using [Unsloth](https://github.com/unslothai/unsloth) for 2x faster fine-tuning
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Uses Huggingface's TRL library for reward modeling and instruction tuning
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Ideal for testing local tool-calling setups
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Compatible with GGUF format for efficient inference
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## πΌοΈ Logo
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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## π Links
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- π [Hugging Face Transformers](https://github.com/huggingface/transformers)
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- π¬ [TRL Library](https://github.com/huggingface/trl)
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## π Features
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- β
Lightweight 1B parameter model
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- β
Uses Huggingface's TRL library for reward modeling and instruction tuning
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- β
Ideal for testing local tool-calling setups
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- β
Compatible with GGUF format for efficient inference
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---
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## π Links
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- π [Hugging Face Transformers](https://github.com/huggingface/transformers)
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- π¬ [TRL Library](https://github.com/huggingface/trl)
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