ApatheticWithoutTheA/gemma-2-2b-it-R1-Reasoning
ApatheticWithoutTheA/gemma-2-2b-it-R1-Reasoning is a 2.6 billion parameter instruction-tuned model, fine-tuned by ApatheticWithoutTheA from the gemma-2-2b-it base. Optimized using MLX and LoRA on the sequelbox/Raiden-DeepSeek-R1 dataset, it excels at instruction-following and complex reasoning tasks, generating detailed chain-of-thought responses. This model is particularly suited for question answering and reasoning-based applications on consumer hardware, with a context length of 8192 tokens.
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ApatheticWithoutTheA/gemma-2-2b-it-R1-Reasoning Overview
This model is a specialized fine-tuned version of the gemma-2-2b-it base, developed by ApatheticWithoutTheA. It has been specifically optimized for enhanced instruction-following and complex reasoning capabilities. The fine-tuning process utilized MLX and LoRA on the sequelbox/Raiden-DeepSeek-R1 dataset, which comprises 62.9k examples generated by Deepseek R1, over 600 iterations.
Key Capabilities
- Advanced Reasoning: Generates detailed chain-of-thought reasoning for complex problems, improving upon the base model's ability to process intricate instructions.
- Instruction Following: Highly proficient in understanding and executing user instructions.
- Question Answering: Delivers straightforward answers for simple queries and elaborate reasoning for more challenging questions.
- Coding: Capable of assisting with coding tasks.
Good For
- Applications requiring robust reasoning-based problem-solving.
- Question answering systems that benefit from detailed explanations.
- Coding assistance and related tasks.
- Deployment on consumer hardware due to its efficient architecture.
Limitations
While generally effective, the model may occasionally fail to trigger chain-of-thought reasoning for complex problems without an explicit prompt. For extremely difficult reasoning tasks, it can sometimes enter prolonged "thinking" loops without reaching a conclusive answer.