InternLM-Math-7B|20B logo

InternLM-Math-7B|20B

Free

Chat with a math-enhanced language model

FreeFree tier
Inputs: textOutputs: text
Type
Open Source
Company
Intern Large Models

About InternLM-Math-7B|20B

InternLM2-Math is a collection of math-enhanced language models developed by Intern Large Models, specifically the InternLM2-Math-7B and InternLM2-Math-20B. These models are designed for text generation tasks with a focus on mathematical reasoning and problem-solving. They are open-source and available on Hugging Face, allowing users to integrate them into various applications including chatbots and math tutoring systems.

Key Features

Two model sizes: 7B and 20B parameters
Math-enhanced reasoning capabilities
Open-source and available on Hugging Face
Text-generation pipeline (text-generation)
Part of the InternLM2 model family

Pros & Cons

Pros
  • Free and open-source under permissive license
  • Math-focused training for better accuracy in mathematical tasks
  • Available in two sizes for different resource constraints
  • Backed by Intern Large Models with active development
Cons
  • Requires Hugging Face to download and use
  • Large model sizes (7B/20B) may need significant compute resources
  • Limited to text-generation tasks; no multi-modal support
  • Potential biases from training data

Best For

Mathematical problem-solving and tutoringChatbots with math reasoning skillsEducational AI assistantsText generation in math domains

FAQ

What models are included in InternLM2-Math?
The collection includes InternLM2-Math-7B (7.7 billion parameters) and InternLM2-Math-20B (19.9 billion parameters).
Is InternLM2-Math free to use?
Yes, it is open-source and free to download and use on Hugging Face.
What is the primary use case for InternLM2-Math?
It is designed for text generation with a focus on mathematical reasoning, making it suitable for math tutoring chatbots and educational AI.
How can I access InternLM2-Math?
The models are hosted on Hugging Face under the internlm organization, with model IDs internlm/internlm2-math-7b and internlm/internlm2-math-20b.