SmolGRPO-135M

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Base model: HuggingFaceTB/SmolLM-135M-Instruct Frameworks: 🤗 Transformers • TRL • PEFT • Accelerate Training method: GRPO (Group Relative Policy Optimization)

Model Details

Model Description

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SmolGRPO-135M is a small reasoning-oriented language model fine-tuned using GRPO, a reinforcement learning algorithm for improving reasoning and explanation quality. The base model, SmolLM-135M-Instruct, was further optimized using a reward function focused on completion quality and length. This training encourages the model to: Produce logical, coherent, and informative answers. Generate complete reasoning chains instead of short factual replies. Maintain instruction-following behavior inherited from the base model.

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Uses

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Training Details

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Summary

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Environmental Impact

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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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Technical Specifications [optional]

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Framework versions

• PEFT 0.14.0