Llama 3.2 3B fine-tuned for Python code generation

A four-stage pipeline was developed to fine-tune the Llama 3.2 3B model specifically for Python coding tasks. This process incorporates supervised fine-tuning, execution-reward reinforcement learning, and verified self-improvement techniques. The goal is to enhance the model's capabilities in generating and understanding Python code. AI

IMPACT Enhances specialized coding capabilities of smaller language models.

RANK_REASON The cluster describes a fine-tuning process for an existing model on a specific task, which falls under research. [lever_c_demoted from research: ic=1 ai=1.0]

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• Llama 3.2 3B
• Python

• model release
• paper

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