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ease
features
design
support

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Description

Introducing Mistral NeMo, our latest and most advanced small model yet, featuring a cutting-edge 12 billion parameters and an expansive context length of 128,000 tokens, all released under the Apache 2.0 license. Developed in partnership with NVIDIA, Mistral NeMo excels in reasoning, world knowledge, and coding proficiency within its category. Its architecture adheres to industry standards, making it user-friendly and a seamless alternative for systems currently utilizing Mistral 7B. To facilitate widespread adoption among researchers and businesses, we have made available both pre-trained base and instruction-tuned checkpoints under the same Apache license. Notably, Mistral NeMo incorporates quantization awareness, allowing for FP8 inference without compromising performance. The model is also tailored for diverse global applications, adept in function calling and boasting a substantial context window. When compared to Mistral 7B, Mistral NeMo significantly outperforms in understanding and executing detailed instructions, showcasing enhanced reasoning skills and the ability to manage complex multi-turn conversations. Moreover, its design positions it as a strong contender for multi-lingual tasks, ensuring versatility across various use cases.

Description

Tiny Aya represents a collection of open-weight multilingual language models developed by Cohere Labs, aimed at providing robust and flexible AI capabilities that function seamlessly on local devices such as smartphones and laptops, all without the need for continuous cloud access. This innovative model is dedicated to facilitating superior text comprehension and generation in over 70 languages, notably including numerous lower-resource languages that typically receive less attention from conventional models. Engineered with lightweight structures comprising around 3.35 billion parameters, Tiny Aya has been fine-tuned for optimal multilingual representation and practical computational efficiency, making it ideal for deployment in edge environments and offline scenarios. Furthermore, the models are designed to support downstream adaptation and instruction tuning, enabling developers to tailor the models’ behaviors for specific use cases while ensuring strong performance across languages. As a result, Tiny Aya not only enhances access to advanced AI solutions but also empowers developers to create customized applications that meet diverse linguistic needs.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

AlphaCorp Yes 
C# Yes 
Clojure Yes 
Diaflow Yes 
Elixir Yes 
EvalsOne Yes 
HumanLayer Yes 
Klee Yes 
Langflow Yes 
Lunary Yes 
Mistral AI Yes 
R Yes 
StackAI Yes 
Symflower Yes 
Tune AI Yes 
Visual Basic Yes 
Wordware Yes 
Yaseen AI Yes 
bolt.diy Yes 

Integrations

AlphaCorp No 
C# No 
Clojure No 
Diaflow No 
Elixir No 
EvalsOne No 
HumanLayer No 
Klee No 
Langflow No 
Lunary No 
Mistral AI No 
R No 
StackAI No 
Symflower No 
Tune AI No 
Visual Basic No 
Wordware No 
Yaseen AI No 
bolt.diy No 

Pricing Details

Free
Open source
Free Trial No 
Free Version Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Mistral AI

Founded

2023

Country

France

Website

mistral.ai/news/mistral-nemo/

Vendor Details

Company Name

Cohere AI

Founded

2019

Country

Canada

Website

cohere.com/blog/cohere-labs-tiny-aya

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