Finetune Granite3.1 for Reasoning
Read OriginalThis article provides a detailed, code-focused tutorial on improving the reasoning performance of IBM's Granite3.1 foundation model. It covers the entire fine-tuning process using Guided Reward Policy Optimization (GRPO), including environment setup, data preparation, model training, inference, and saving the model in formats like LoRA and GGUF.
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