lemuralabs/Qwen3.6-27B-Fable-Agentic
Qwen3.6-27B-Fable-Agentic by lemuralabs is a 27 billion parameter agentic model fine-tuned from Jackrong/Qwopus3.6-27B-v2. It excels in step-by-step reasoning and multi-turn tool-calling, while maintaining top-tier general knowledge. This model is optimized for complex tasks requiring both advanced reasoning and external tool interaction.
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Model Overview
Qwen3.6-27B-Fable-Agentic is a 27 billion parameter model developed by lemuralabs, fine-tuned from the Jackrong/Qwopus3.6-27B-v2 base. Its core strength lies in its agentic capabilities, enabling it to perform multi-turn tool-calling and engage in step-by-step reasoning. The model demonstrates strong general knowledge and mathematical proficiency, making it suitable for complex problem-solving.
Key Capabilities
- Agentic Tool-Calling: Designed for multi-turn interactions with external tools.
- Chain-of-Thought Reasoning: Facilitates detailed, step-by-step problem-solving.
- Top-Tier Knowledge: Achieves 88.29% on MMLU-Pro, showing improved knowledge over its base model.
- Strong Math Performance: Scores 97.33% on GSM8K, indicating robust mathematical reasoning.
- Multimodal Architecture: Supports both vision and text inputs.
Performance Highlights
Evaluated with an 8192-token budget to ensure full reasoning, the model shows competitive performance:
- MMLU-Pro: 88.29% (outperforming its base model's 86.86%)
- GSM8K: 97.33% (comparable to its base model's 98.00%)
- GPQA-Diamond: 57.07% (comparable to its base model's 57.58%)
This indicates that the model preserves hard reasoning capabilities while enhancing general knowledge and integrating agentic features.