MathLLMs/MathCoder-L-7B
TEXT GENERATIONConcurrency Cost:1Model Size:7BQuant:FP8Ctx Length:4kPublished:Sep 22, 2023License:apache-2.0Architecture:Transformer0.0K Open Weights Cold
MathLLMs/MathCoder-L-7B is a 7 billion parameter large language model developed by MathLLMs, fine-tuned from Llama-2 with a 4096-token context length. This model is specifically designed for general mathematical problem-solving, integrating code for enhanced reasoning capabilities. It was trained on the MathCodeInstruct dataset to specialize in solving complex math problems.
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MathCoder-L-7B: Enhanced Mathematical Reasoning with Code Integration
MathCoder-L-7B is a 7 billion parameter large language model developed by MathLLMs, specifically engineered for advanced mathematical problem-solving. Fine-tuned from the Llama-2 base model, it leverages seamless code integration to improve its reasoning abilities in mathematical contexts.
Key Capabilities
- Specialized Mathematical Problem-Solving: Designed to tackle a wide range of general math problems.
- Code-Enhanced Reasoning: Integrates code to facilitate more robust and accurate mathematical reasoning.
- Fine-tuned on MathCodeInstruct: Benefits from targeted training on a dedicated dataset focused on mathematical and code-related instructions.
Good For
- Mathematical Applications: Ideal for tasks requiring precise mathematical calculations and logical reasoning.
- Research in LLMs for Math: Useful for researchers exploring the intersection of large language models and mathematical problem-solving.
- Educational Tools: Can be applied in developing tools that assist with understanding and solving complex math problems.