IQuest-Coder-V1-40B, a new family of large language models, has been integrated into llama.cpp, advancing the field of autonomous software engineering and code intelligence. These models utilize a code-flow multi-stage training paradigm to capture the dynamic evolution of software logic, achieving state-of-the-art performance on benchmarks such as SWE-Bench Verified, BigCodeBench, and LiveCodeBench v6. The models offer dual specialization paths: Thinking models for complex problem-solving and Instruct models for general coding assistance. Additionally, the IQuest-Coder-V1-Loop variant introduces a recurrent mechanism for efficient deployment, and all models support up to 128K tokens natively, enhancing their applicability in real-world software development. This matters because it represents a significant step forward in creating more intelligent and capable tools for software development and programming tasks.
