NhatCuong22/Qwen3-8B-OpusReasoning
NhatCuong22/Qwen3-8B-OpusReasoning is an 8 billion parameter Qwen3-based causal language model, fine-tuned via supervised knowledge distillation from Claude Opus 4.6 reasoning traces. It specializes in transferring reasoning structure and problem-solving style, outputting structured chain-of-thought within tags. This model is optimized for enhanced stability in multi-step reasoning, structured analytical problem-solving, and improved instruction adherence, making it suitable for mathematical, logical, and code-related reasoning tasks.
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Qwen3-8B-OpusReasoning: Reasoning-Enhanced LLM
This model is an 8 billion parameter variant of Qwen3, developed by NhatCuong22, specifically fine-tuned for enhanced reasoning capabilities. It leverages supervised knowledge distillation from Claude Opus 4.6 reasoning traces, focusing on transferring the reasoning structure and problem-solving style rather than token-level imitation. The model generates structured chain-of-thought within <think>...</think> tags, following a deliberative, self-critical approach.
Key Capabilities & Features
- Reasoning Distillation: Learns explicit problem decomposition, assumption checking, step-by-step derivation, and reflection from high-quality Claude Opus 4.6 traces.
- Structured Output: Produces clear, structured reasoning scaffolds, including task parsing, planning, detailed work, and verification before the final answer.
- Improved Stability: Offers enhanced stability in multi-step reasoning and better instruction adherence compared to the base Qwen3-8B.
- Performance: Shows notable improvements on benchmarks like ARC-Challenge (+9.13%) and MMLU (+2.47%), indicating better scientific and general knowledge reasoning.
- Efficiency: Designed to run locally, fitting within 16GB VRAM at bf16 precision.
Best Suited For
- Mathematical problem-solving (arithmetic, algebra, word problems)
- Logical reasoning and deduction
- Code generation with detailed explanations
- Multi-step analytical question answering
- Instruction-following tasks with complex constraints
- Offline/on-prem reasoning assistants