claude-3.7-sonnet-reasoning-gemma3-12B
| Property | Value |
|---|---|
| Base Model | google/gemma-3-12b |
| Training Method | Supervised Fine-Tuning (SFT) with LoRA |
| Developer | reedmayhew |
| Model URL | Hugging Face |
What is claude-3.7-sonnet-reasoning-gemma3-12B?
This innovative model represents a significant advancement in combining the reasoning capabilities of Claude 3.7 Sonnet with the accessible Gemma architecture. It's a specialized variant of the Gemma 3 12B model that has been fine-tuned using reasoning data from Claude 3.7 Sonnet, aiming to enhance its analytical and problem-solving capabilities while maintaining its open-source nature.
Implementation Details
The model leverages Supervised Fine-Tuning (SFT) using LoRA, implemented with enhanced training efficiency through Unsloth and Huggingface's TRL library, achieving 2x faster training speeds. The training data is sourced from the reedmayhew/claude-3.7-sonnet-reasoning dataset, specifically curated to improve reasoning capabilities.
- Advanced reasoning capabilities derived from Claude 3.7 Sonnet
- Optimized training process using Unsloth and TRL library
- Built on the powerful Gemma 3 12B architecture
- Open-source accessibility
Core Capabilities
- Enhanced logical reasoning and analysis
- Complex problem-solving abilities
- Improved analytical thinking compared to standard Gemma 3
- Maintained accessibility of open-source architecture
Frequently Asked Questions
Q: What makes this model unique?
This model uniquely combines Claude 3.7 Sonnet's renowned reasoning capabilities with Gemma's open-source architecture, offering enhanced analytical capabilities while remaining accessible to the wider AI community.
Q: What are the recommended use cases?
The model is particularly suited for applications requiring strong logical reasoning, complex problem-solving, and analytical thinking. However, users should evaluate its performance for their specific use cases, as it remains a derivative of the Gemma architecture.
