Dreamprime/Math-Brain-v1
Dreamprime/Math-Brain-v1 is a 7.6 billion parameter Qwen2-based instruction-tuned language model developed by Dreamprime. It is specifically fine-tuned for mathematical reasoning and problem-solving tasks. This model leverages Unsloth and Huggingface's TRL library for efficient training, offering a 32768 token context length. Its primary strength lies in handling complex mathematical queries and computations.
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Model Overview
Dreamprime/Math-Brain-v1 is a 7.6 billion parameter instruction-tuned language model, developed by Dreamprime. It is built upon the Qwen2 architecture and has been specifically fine-tuned to excel in mathematical reasoning and problem-solving. The model was trained using Unsloth and Huggingface's TRL library, which enabled a 2x faster training process.
Key Capabilities
- Mathematical Reasoning: Optimized for understanding and solving complex mathematical problems.
- Instruction Following: Designed to accurately follow instructions for math-related tasks.
- Efficient Training: Benefits from Unsloth's optimizations for faster fine-tuning.
Good For
- Applications requiring strong mathematical capabilities.
- Educational tools focused on math.
- Research into mathematical language models.