IQuest-Q1
Open-weights 320B MoE (15B active params) purpose-built for agentic coding, with 524K context and ready-made integrations for Claude Code and Codex CLI via SGLang/vLLM Docker images.
Why it matters
A new open-weights agentic-coding specialist with DeepSWE, Terminal-Bench, and CyberGym scores measured against DeepSeek-V4, released with full weights and agent harnesses on launch day.
What you could build with it
A startup could self-host IQuest-Q1 as the engine behind an internal code assistant that explores a private monorepo and drafts pull requests without sending code to a third-party API.
Does it hold up?
Tryable today: weights are live on Hugging Face with prebuilt SGLang/vLLM images (160 GitHub stars at check). Caveats: heavy TP-8 serving, a NOASSERTION license, and the authors flag it as early-stage with real-world CLI reliability issues.
Learn more
First spotted on hf: source.
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