ayan4m1/Clemma-12B
Clemma-12B is a 12 billion parameter language model developed by ayan4m1, built upon the Gemma 4 architecture. It is a Supervised Fine-Tuned (SFT) model specifically enhanced with Opus 4.6 reasoning traces, providing improved logical processing capabilities. With a context length of 32768 tokens, this model is primarily designed for tasks requiring advanced reasoning and understanding.
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Clemma-12B Overview
Clemma-12B is a 12 billion parameter language model developed by ayan4m1, derived from the Gemma 4 architecture. This model distinguishes itself through its Supervised Fine-Tuning (SFT) process, which incorporates reasoning traces from Opus 4.6. This specialized fine-tuning aims to enhance the model's ability to process and generate logically coherent responses, making it particularly adept at tasks requiring complex thought processes.
Key Capabilities
- Enhanced Reasoning: Leverages Opus 4.6 reasoning traces for improved logical understanding and response generation.
- Large Context Window: Supports a substantial context length of 32768 tokens, allowing for processing and understanding of extensive inputs.
- Gemma 4 Foundation: Built on the robust Gemma 4 12B base model, providing a strong foundation for general language tasks.
Good For
- Applications requiring advanced logical reasoning and problem-solving.
- Tasks benefiting from a large context window to maintain coherence over long conversations or documents.
- Developers seeking a Gemma-based model with specialized enhancements for reasoning capabilities.