Moonlink/Mable-1
Moonlink/Mable-1 is a 2.6 billion parameter language model developed by Moonlink, fine-tuned from Google's Gemma-2-2B-it. It specializes in advanced reasoning, structured chain-of-thought (CoT) breakdown, and execution-oriented decision making, trained on 3,500 curated reasoning traces from the Fable-5 dataset and 1,200 rows of GPT 5.6 answers. This model is optimized for tasks requiring step-by-step logical processing and improved mathematical and scientific problem-solving.
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Overview
Mable-1 is a 2.6 billion parameter language model developed by Moonlink, fine-tuned from Google's Gemma-2-2B-it. It is specifically designed for enhanced reasoning capabilities, structured chain-of-thought (CoT) processing, and execution-oriented decision making. The model was trained using 3,500 curated reasoning traces from the Fable-5 dataset and an additional 1,200 rows of GPT 5.6 answers, focusing on improving performance in math and science domains.
Key Capabilities
- Advanced Reasoning: Specializes in step-by-step logical processing and structured chain-of-thought (CoT) breakdown.
- Execution-Oriented Decision Making: Designed to facilitate actionable responses based on reasoning.
- Improved Math and Science Performance: Utilizes advanced data samples to enhance problem-solving in these areas.
- Flexible Deployment: Available in GGUF, LoRA adapters, and merged 16-bit weights for various deployment environments.
Good For
- Applications requiring detailed, step-by-step reasoning.
- Tasks benefiting from structured thought processes.
- Use cases in mathematics and scientific problem-solving where logical execution is critical.
- Developers looking for a compact model (2.6B parameters) with strong reasoning abilities for local or production deployment.