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Description
Ling Studio serves as the online platform created by Ant Ling, allowing users to delve into the vast potential of AI while assessing the fundamental capabilities of the Ling model series. This environment offers a seamless way for individuals to test out Ant Ling models prior to utilizing them via API access, thus enhancing the experience of engaging with multi-turn reasoning, processing lengthy contexts, generating multimodal content, and observing model behavior within an interactive chat interface. It is interconnected with Ant Ling’s robust family of models designed for text generation, coding, reasoning, and various multimodal tasks. The Ling models themselves are versatile large language models (LLMs) built on a Mixture of Experts architecture, achieving a balance between a high parameter scale and low activation costs, which facilitates conversation, text creation, and diverse content generation. Additionally, the Ring models are engineered to excel in deep reasoning and cognitive functions, demonstrating exceptional capabilities in mathematics, programming, and achieving high scores on comprehensive reasoning benchmarks, ultimately making them invaluable tools for users seeking advanced AI solutions. This innovative approach not only enhances user engagement but also opens doors to new applications in the AI landscape.
Description
In honor of Archimedes, whose 2311th anniversary we celebrate this year, we are excited to introduce our inaugural Mathstral model, a specialized 7B architecture tailored for mathematical reasoning and scientific exploration. This model features a 32k context window and is released under the Apache 2.0 license. Our intention behind contributing Mathstral to the scientific community is to enhance the pursuit of solving advanced mathematical challenges that necessitate intricate, multi-step logical reasoning. The launch of Mathstral is part of our wider initiative to support academic endeavors, developed in conjunction with Project Numina. Much like Isaac Newton during his era, Mathstral builds upon the foundation laid by Mistral 7B, focusing on STEM disciplines. It demonstrates top-tier reasoning capabilities within its category, achieving remarkable results on various industry-standard benchmarks. Notably, it scores 56.6% on the MATH benchmark and 63.47% on the MMLU benchmark, showcasing the performance differences by subject between Mathstral 7B and its predecessor, Mistral 7B, further emphasizing the advancements made in mathematical modeling. This initiative aims to foster innovation and collaboration within the mathematical community.
API Access
Has API
API Access
Has API
Integrations
1min.AI
Fleak
HoneyHive
Hugging Face
Humiris AI
Langflow
Lewis
Lunary
Mammouth AI
Mixtral 8x22B
Integrations
1min.AI
Fleak
HoneyHive
Hugging Face
Humiris AI
Langflow
Lewis
Lunary
Mammouth AI
Mixtral 8x22B
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Ant Group
Founded
2014
Country
China
Website
chat.ant-ling.com/chat
Vendor Details
Company Name
Mistral AI
Founded
2023
Country
France
Website
mistral.ai/news/mathstral/