Mathstral

Mathstral

Mistral AI
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About

As a tribute to Archimedes, whose 2311th anniversary we’re celebrating this year, we are proud to release our first Mathstral model, a specific 7B model designed for math reasoning and scientific discovery. The model has a 32k context window published under the Apache 2.0 license. We’re contributing Mathstral to the science community to bolster efforts in advanced mathematical problems requiring complex, multi-step logical reasoning. The Mathstral release is part of our broader effort to support academic projects, it was produced in the context of our collaboration with Project Numina. Akin to Isaac Newton in his time, Mathstral stands on the shoulders of Mistral 7B and specializes in STEM subjects. It achieves state-of-the-art reasoning capacities in its size category across various industry-standard benchmarks. In particular, it achieves 56.6% on MATH and 63.47% on MMLU, with the following MMLU performance difference by subject between Mathstral 7B and Mistral 7B.

About

NVIDIA Isaac Lab is a GPU‑accelerated, open source robot learning framework built on top of Isaac Sim, designed to unify and simplify robotics research workflows such as reinforcement learning, imitation learning, and motion planning. It leverages realistic sensor and physics simulation to support accurate training of embodied agents, providing ready‑to‑use environments, spanning manipulators, quadrupeds, and humanoids—with support for 30+ benchmark tasks and integration with popular RL libraries like RL Games, Stable Baselines, RSL RL, and SKRL. Isaac Lab features a modular, configuration‑driven design that enables developers to easily create, modify, and scale learning environments; it also supports collecting demonstrations via peripherals (gamepads, keyboards) and allows custom actuator models to facilitate sim‑to‑real transfer. The framework is built for both local and cloud deployment, accommodating flexible scaling of compute resources.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Individuals focused on mathematical research looking for an AI tool to enhance their problem-solving capabilities

Audience

Developers requiring a solution to train, test, and refine embodied agents using reinforcement and imitation learning—seamlessly and at scale

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Mistral AI
Founded: 2023
France
mistral.ai/news/mathstral/

Company Information

NVIDIA
Founded: 1993
United States
developer.nvidia.com/isaac/lab

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Categories

Categories

Integrations

1min.AI
AI-FLOW
APIPark
Amazon Web Services (AWS)
Continue
DataChain
Google Cloud Platform
Kiin
Klee
Langflow
Ministral 8B
Mixtral 8x22B
Motific.ai
NVIDIA Isaac GR00T
NexalAI
OpenPipe
Simplismart
Symflower
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WebLLM

Integrations

1min.AI
AI-FLOW
APIPark
Amazon Web Services (AWS)
Continue
DataChain
Google Cloud Platform
Kiin
Klee
Langflow
Ministral 8B
Mixtral 8x22B
Motific.ai
NVIDIA Isaac GR00T
NexalAI
OpenPipe
Simplismart
Symflower
Unify AI
WebLLM
Claim Mathstral and update features and information
Claim Mathstral and update features and information
Claim NVIDIA Isaac Lab and update features and information
Claim NVIDIA Isaac Lab and update features and information