Kiy-K/Fyodor-Q3-8B-Instruct
Fyodor-Q3-8B-Instruct by Kiy-K is an 8 billion parameter instruction-tuned model based on Qwen3-8B, specifically designed for agentic reasoning and robust code generation. It utilizes a 'God Mode' LoRA configuration with a 32k context window, trained on a curriculum emphasizing 60% coding, 20% instruction following, and 20% reasoning/tool use. This model excels at planning complex software engineering tasks and generating code across 80+ programming languages, demonstrating strong performance in HumanEval and MBPP benchmarks.
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Fyodor-Q3-8B-Instruct: The "God Mode" Agentic Coder
Fyodor-Q3-8B-Instruct, developed by Kiy-K, is an 8 billion parameter instruction-tuned model built upon the Qwen3-8B base. It is uniquely optimized for agentic reasoning and robust code generation, distinguishing itself through a specialized "God Mode" LoRA training strategy (Rank 128).
Key Capabilities
- Multi-Language Proficiency: Supports over 80 programming languages, including Python, JavaScript, C++, Rust, and Go.
- Agentic Reasoning: Excels at planning multi-step solutions for complex software engineering tasks before implementation.
- Function Calling: Features native understanding and integration for tool use and API interactions.
- Code Generation & Review: Capable of generating clean, efficient code, providing constructive feedback, and generating comprehensive documentation.
- High Performance: Achieves 68.3% on HumanEval (Pass@1) and 57.2% on MBPP (Pass@1), outperforming many models in its parameter class.
Good For
- Complex Software Engineering: Ideal for tasks requiring planning and multi-step problem-solving in coding.
- Automated Code Development: Generating code, debugging, and creating documentation across a wide range of languages.
- Tool and API Integration: Leveraging function calling for advanced automation and interaction with external systems.
- Educational and Development Environments: Assisting developers with code review, explanation, and learning new programming concepts.