IQuest Coder - State-of-the-art open-source code LLM achieving 76.2% on SWE-Bench. Built with Code-Flow training paradigm for autonomous software engineering.
Have a question about IQuest Coder? Ask it here and get a real answer.
AppSignal ā Built for dev teams, not Fortune 500s.
Built for dev teams, not Fortune 500s.
Promoted
Do you use IQuest Coder?
Maker Comment
Hunter
š
IQuest Coder
State-of-the-art open-source code LLM for autonomous software engineering. Built with the innovative Code-Flow training paradigm to understand real-world code evolution.
Explore Models
Technical Report
GitHub
76.2%
SWE-Bench Verified
View Results
81.1%
LiveCodeBench v6
View Results
49.9%
BigCodeBench
View Results
128K
Context Length
Learn More
Built for Code Intelligence
Advancing autonomous software engineering with innovative training paradigms and efficient architectures.
š
Code-Flow Training
Moving beyond static code representations, our models learn from repository evolution patterns, commit transitions, and dynamic code transformations to understand real-world software development processes.
š§
Dual Specialization
Bifurcated post-training delivers two specialized variants: Thinking models with reasoning-driven RL for complex problem-solving, and Instruct models optimized for general coding assistance.
ā¾
Loop Architecture
The Loop variant introduces a recurrent mechanism with shared parameters across iterations, optimizing the trade-off between model capacity and deployment footprint.
š
Native Long Context
All models natively support up to 128K tokens without requiring additional scaling techniques, enabling processing of entire codebases and multi-file contexts.
