Welcome to CoderBaba.SI: The Home for Open-Source Coding Models
CoderBaba.SI tracks every major open-source AI coding model and the AI coding tools around them. Here is what we cover and what is coming next.
Specs, licenses, benchmarks and how to run them locally, plus the latest news on AI coding tools and agents.
model directory
Alibaba Qwen
Alibaba's agentic coding model family. A 480B mixture-of-experts flagship with 35B active parameters, 256K native context and an Apache 2.0 license.
Mistral AI & All Hands AI
A 24B agentic coding model built for software-engineering agents like OpenHands. Apache 2.0, 128K context, and small enough to run on a single RTX 4090 or a 32 GB Mac.
Alibaba Qwen
A dense code model family from 0.5B to 32B parameters. The 32B Instruct model reached GPT-4o-level code generation at release and is easy to run locally.
DeepSeek
A mixture-of-experts code model with 236B total and 21B active parameters, 128K context and support for 338 programming languages. A Lite 16B variant is also available.
Mistral AI
Mistral AI's 22B open-weight code model, trained on 80+ programming languages, with strong fill-in-the-middle support for IDE autocomplete. Non-production license.
BigCode (Hugging Face, ServiceNow, NVIDIA)
Fully open code models (3B, 7B, 15B) trained on The Stack v2 with transparent data, published training details and opt-out support for code authors.
From the teams behind
blog / updates
CoderBaba.SI tracks every major open-source AI coding model and the AI coding tools around them. Here is what we cover and what is coming next.
A step-by-step guide to running Qwen2.5-Coder, Devstral or DeepSeek-Coder-V2 on your own machine with Ollama and connecting it to your editor.
Parameters, MoE, context windows and licenses all matter when you choose an open coding model. A practical checklist for developers and teams.
An open-source AI coding agent that runs on the open models you choose, locally or in the cloud.