OpenCodeInterpreter/OpenCodeInterpreter

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1757 stars · 221 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

OpenCodeInterpreter is a suite of open-source code generation models and deployment code that integrates code execution and iterative refinement, aiming to match systems like the GPT-4 Code Interpreter. It includes open-sourced models on Hugging Face, the Code-Feedback training dataset, and a local demo deployment setup.

Use cases

• generate code from natural language instructions with a local open-source model
• run generated code and iteratively refine it based on execution feedback
• self-host a GPT-4 Code Interpreter alternative
• fine-tune or evaluate code LLMs using the Code-Feedback dataset
• benchmark code generation models on HumanEval and MBPP

When to choose

• you want an open-source alternative to GPT-4's code interpreter with execution feedback
• you need to run code generation models locally or on your own GPU infrastructure
• you want training data or models for research on execution-refined code generation

When to avoid

• you need a lightweight code completion plugin for an editor rather than a full model suite
• you cannot host large GPU models (up to 33B parameters)
• you need actively maintained software with recent updates

Facets

framework · maturity maintenance

llm-inference machine-learning large-language-models machine-learning developer-tools python self-hosted code-generation execution-feedback code-llm huggingface iterative-refinement code-interpreter docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="OpenCodeInterpreter/OpenCodeInterpreter")