MathstralMistral AI
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NVIDIA Isaac LabNVIDIA
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Related Products
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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.
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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.
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Platforms Supported
Windows
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Mac
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Linux
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Cloud
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On-Premises
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iPhone
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iPad
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Android
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Chromebook
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Platforms Supported
Windows
Supported
Mac
Not Supported
Linux
Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Individuals focused on mathematical research looking for an AI tool to enhance their problem-solving capabilities
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Audience
Developers requiring a solution to train, test, and refine embodied agents using reinforcement and imitation learning—seamlessly and at scale
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Support
Phone Support
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24/7 Live Support
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Online
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Support
Phone Support
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24/7 Live Support
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Online
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API
Offers API
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API
Offers API
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Pricing
Free
Open source
Free Version
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Free Trial
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Pricing
Free
Free Version
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Free Trial
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Reviews/
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Training
Documentation
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Webinars
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Live Online
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In Person
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Training
Documentation
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Webinars
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Live Online
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In Person
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Company InformationMistral AI
Founded: 2023
France
mistral.ai/news/mathstral/
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Company InformationNVIDIA
Founded: 1993
United States
developer.nvidia.com/isaac/lab
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Integrations
Alibaba Cloud
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Amazon Bedrock
Supported
Arize Phoenix
Supported
BlueGPT
Supported
Expanse
Supported
Fleak
Supported
GMTech
Supported
Klee
Supported
Langflow
Supported
Lewis
Supported
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Integrations
Alibaba Cloud
Supported
Amazon Bedrock
Not Supported
Arize Phoenix
Not Supported
BlueGPT
Not Supported
Expanse
Not Supported
Fleak
Not Supported
GMTech
Not Supported
Klee
Not Supported
Langflow
Not Supported
Lewis
Not Supported
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