sanskar9999/CodeEvolveLLM

A framework for using local LLMs (Qwen2.5-coder 7B) that are fine-tuned using RL to generate, debug, and optimize code solutions through iterative refinement.

28
/ 100
Experimental

This framework helps developers improve how local AI models generate, debug, and optimize code. You provide a coding problem, and it produces refined, efficient code solutions by automatically identifying and fixing errors. It's designed for developers looking to enhance the performance of their local Large Language Models (LLMs) for code generation tasks.

No commits in the last 6 months.

Use this if you are a developer aiming to fine-tune a local LLM to autonomously generate and improve code solutions for programming problems.

Not ideal if you are looking for a tool that writes and debugs production-ready application code without requiring expertise in LLM fine-tuning.

AI Development Code Generation Software Engineering Machine Learning Engineering
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 16 / 25
Community 8 / 25

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Stars

8

Forks

1

Language

Python

License

MIT

Last pushed

Mar 14, 2025

Commits (30d)

0

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