EleutherAI Llemma 7b: Mathematical Reasoning Model

Llemma 7b excels in mathematical reasoning and computational tools.

Input: text Output: text Context: 4,096 tokens Release: 2025-04-14

EleutherAI's Llemma 7b, released in April 2025, is a specialized language model designed for mathematical reasoning. Built on the Code Llama 7B framework, it has been further trained with 200 billion tokens from the Proof-Pile-2 dataset. This model excels in chain-of-thought reasoning and effectively utilizes computational tools like Python and formal theorem provers. With a context window of 4096 tokens, it processes and generates text inputs and outputs, making it a valuable tool for complex mathematical tasks. Whether you're solving intricate problems or exploring theorem proofs, Llemma 7b offers a reliable solution.

Use Cases

Here are a few ways teams apply EleutherAI: Llemma 7b in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.

Solve complex mathematical problems

Conduct in-depth theorem proving

Enhance computational tool integration

Develop mathematical models

Key Features

A quick look at the capabilities that make this model useful in real projects.

Trained on 200B tokens from Proof-Pile-2

Specializes in chain-of-thought reasoning

Utilizes Python and theorem provers

Handles 4096 token context length

Text input and output capabilities

Specs

Overview

Vendor
eleutherai

Model ID
eleutherai/llemma_7b

Release
2025-04-14

Modalities & context

Input
text

Output
text

Context
4,096 tokens

Parameters & defaults

Supported parameters: frequency_penalty, max_tokens, min_p, presence_penalty, repetition_penalty, seed, stop, temperature, top_k, top_p

Defaults: temperature 0.2, top_p 0.95

Benchmark tests: EleutherAI: Llemma 7b

We ran this model against a few representative prompts to show its range. Review the outputs below and be the judge.

Text

Prompt:

Write 150 words on how AI might positively upend work, leisure and creativity

1. What is the difference between a supervised and unsupervised learning model?

Run this prompt on Upend.AI

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verb

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