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Description
The Falcon LLM represents a cutting-edge open-source family of large language models created by the Technology Innovation Institute (TII), offering sophisticated generative AI functionalities for natural language comprehension, logical reasoning, and content creation across a wide array of applications. Constructed using hybrid Transformer and Mamba architectures, the Falcon models range from compact 7B versions that excel in reasoning tasks to the formidable Falcon 180B, which competes with top-tier AI systems, ensuring both efficiency and scalability for various real-world applications like text generation, translation, summarization, sentiment analysis, and interactive chat agents. Additionally, it accommodates multilingual and multimodal functionality, effectively managing diverse languages and data formats while incorporating features for long context processing, coding tasks, logic, and mathematical reasoning, all while maintaining performance in environments with limited resources. This versatility makes the Falcon LLM a valuable tool for developers and researchers exploring innovative AI solutions.
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
AiAssistWorks
AnythingLLM
EvalsOne
Expanse
Falcon-7B
GMTech
LM-Kit.NET
Langflow
LibreChat
Mammouth AI
Integrations
AiAssistWorks
AnythingLLM
EvalsOne
Expanse
Falcon-7B
GMTech
LM-Kit.NET
Langflow
LibreChat
Mammouth AI
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
TII
Founded
2018
Country
Germany
Website
chat.falconllm.tii.ae/
Vendor Details
Company Name
Mistral AI
Founded
2023
Country
France
Website
mistral.ai/news/mathstral/