EleutherAI/llemma_7b
EleutherAI's Llemma 7B is a 7 billion parameter language model specifically designed for mathematics. Initialized from Code Llama 7B, it was further trained on the Proof-Pile-2 dataset for 200 billion tokens. This model excels at chain-of-thought mathematical reasoning and is adept at using computational tools for mathematical tasks, outperforming Llama-2 and Code Llama on various math benchmarks.
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Llemma 7B: A Language Model for Mathematics
Llemma 7B, developed by EleutherAI, is a 7 billion parameter language model specialized in mathematical reasoning and problem-solving. It was built upon the Code Llama 7B architecture and underwent extensive training on the Proof-Pile-2 dataset, comprising 200 billion tokens, to enhance its mathematical capabilities.
Key Capabilities
- Chain-of-Thought Mathematical Reasoning: Llemma 7B demonstrates strong performance in complex mathematical reasoning tasks, outperforming Llama-2 and Code Llama of similar sizes on benchmarks like GSM8k, OCW, MMLU-STEM, SAT, and MATH.
- Computational Tool Use: The model is proficient in utilizing computational tools, such as Python and formal theorem provers, for mathematical applications.
- Competitive Performance: When controlling for model size, Llemma 7B surpasses Minerva models on several mathematical benchmarks, particularly in chain-of-thought reasoning.
Use Cases
- Mathematical Problem Solving: Ideal for tasks requiring step-by-step mathematical reasoning.
- Assisting with Formal Proofs: Can be used in conjunction with theorem provers.
- Educational Tools: Potentially useful for generating explanations or solutions for mathematical problems.
Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.