ise-uiuc/magicoder resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

2094 stars · 170 forks observed · 2026-08-28

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

Magicoder is a family of fully open-source code LLMs (under 7B parameters) trained with OSS-Instruct, a method that seeds LLMs with open-source code snippets to generate diverse, low-bias instruction data. The repository provides training code, datasets, and model checkpoints released under MIT license.

Use cases

• generate synthetic instruction data for code LLMs
• fine-tune a small code generation model
• reproduce OSS-Instruct training pipeline
• find open weights for a code assistant model
• compare small code models on HumanEval
• build a self-hosted code completion model

When to choose

• you need fully open code, weights, and data for a code LLM
• you want to mitigate bias in LLM-synthesized instruction data
• you need a sub-7B code model competitive with larger ones
• you want a proven recipe cited by CodeGemma and OpenCodeInterpreter

When to avoid

• you need a production coding assistant with product support
• you require models larger than 7B for frontier performance
• you lack GPU resources for training or inference
• you need a general-purpose (non-code) LLM

Facets

learning-resource · maturity stable

llm-training machine-learning data-generation large-language-models machine-learning developer-tools python code-generation oss-instruct instruction-tuning synthetic-data icml24 open-source-models gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="ise-uiuc/magicoder")