Mathstral

Mathstral

Mistral AI
Mistral NeMo

Mistral NeMo

Mistral AI
+
+

Related Products

  • TrustInSoft Analyzer
    6 Ratings
    Visit Website
  • ONLYOFFICE Docs
    715 Ratings
    Visit Website
  • LeaseAccounting.app
    Visit Website
  • LALAL.AI
    5,443 Ratings
    Visit Website
  • Parasoft
    152 Ratings
    Visit Website
  • Dialpad Support
    1,607 Ratings
    Visit Website
  • Buildium
    2,562 Ratings
    Visit Website
  • DropTrack
    191 Ratings
    Visit Website
  • B2i
    2 Ratings
    Visit Website
  • Iru
    1,389 Ratings
    Visit Website

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

Mistral NeMo, our new best small model. A state-of-the-art 12B model with 128k context length, and released under the Apache 2.0 license. Mistral NeMo is a 12B model built in collaboration with NVIDIA. Mistral NeMo offers a large context window of up to 128k tokens. Its reasoning, world knowledge, and coding accuracy are state-of-the-art in its size category. As it relies on standard architecture, Mistral NeMo is easy to use and a drop-in replacement in any system using Mistral 7B. We have released pre-trained base and instruction-tuned checkpoints under the Apache 2.0 license to promote adoption for researchers and enterprises. Mistral NeMo was trained with quantization awareness, enabling FP8 inference without any performance loss. The model is designed for global, multilingual applications. It is trained on function calling and has a large context window. Compared to Mistral 7B, it is much better at following precise instructions, reasoning, and handling multi-turn conversations.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

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

Audience

Users looking for a language model tool to power their AI-driven applications

Support

Phone Support Not Supported
24/7 Live Support Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Open source
Free Version Supported
Free Trial Not Supported

Pricing

Free
Open source
Free Version Supported
Free Trial Not Supported

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

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 Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

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

Company Information

Mistral AI
Founded: 2023
France
mistral.ai/news/mistral-nemo/

Alternatives

Mistral Large 2

Mistral Large 2

Mistral AI

Alternatives

Jamba

Jamba

AI21 Labs
Solar Pro 2

Solar Pro 2

Upstage AI
Mistral Small

Mistral Small

Mistral AI
Mistral NeMo

Mistral NeMo

Mistral AI
Olmo 2

Olmo 2

Ai2
Claude Opus 3

Claude Opus 3

Anthropic
Mistral 7B

Mistral 7B

Mistral AI
Mistral Large

Mistral Large

Mistral AI

Categories

AI Models Supported
Foundation Models Supported

Categories

AI Coding Models Supported
AI Models Supported
Foundation Models Supported

Integrations

302.AI Supported
AiAssistWorks Supported
Amazon Bedrock Supported
Deep Infra Supported
Diaflow Supported
EvalsOne Supported
Expanse Supported
HoneyHive Supported
Lewis Supported
Lunary Supported
Noma Supported
OpenLIT Supported
OpenPipe Supported
Overseer AI Supported
Pipeshift Supported
Prompt Security Supported
SydeLabs Supported
Toolmark Supported
Unify AI Supported
bolt.diy Supported

Integrations

302.AI Supported
AiAssistWorks Supported
Amazon Bedrock Supported
Deep Infra Supported
Diaflow Supported
EvalsOne Supported
Expanse Supported
HoneyHive Supported
Lewis Supported
Lunary Supported
Noma Supported
OpenLIT Supported
OpenPipe Supported
Overseer AI Supported
Pipeshift Supported
Prompt Security Supported
SydeLabs Supported
Toolmark Supported
Unify AI Supported
bolt.diy Supported
Claim Mathstral and update features and information
Claim Mathstral and update features and information
Claim Mistral NeMo and update features and information
Claim Mistral NeMo and update features and information