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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Jamba stands out as the most potent and effective long context model, specifically designed for builders while catering to enterprise needs. With superior latency compared to other leading models of similar sizes, Jamba boasts a remarkable 256k context window, the longest that is openly accessible. Its innovative Mamba-Transformer MoE architecture focuses on maximizing cost-effectiveness and efficiency. Key features available out of the box include function calls, JSON mode output, document objects, and citation mode, all designed to enhance user experience. Jamba 1.5 models deliver exceptional performance throughout their extensive context window and consistently achieve high scores on various quality benchmarks. Enterprises can benefit from secure deployment options tailored to their unique requirements, allowing for seamless integration into existing systems. Jamba can be easily accessed on our robust SaaS platform, while deployment options extend to strategic partners, ensuring flexibility for users. For organizations with specialized needs, we provide dedicated management and continuous pre-training, ensuring that every client can leverage Jamba’s capabilities to the fullest. This adaptability makes Jamba a prime choice for enterprises looking for cutting-edge solutions.

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 No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) Yes 
Azure Databricks Yes 
BLACKBOX AI Yes 
Gauge Yes 
Google Cloud Platform Yes 
Hugging Face Yes 
JSON Yes 
LangChain Yes 
LlamaIndex Yes 
Microsoft 365 Yes 
NVIDIA DRIVE Yes 
Pinecone Yes 
Snowflake Yes 
Streamlit Yes 

Integrations

Amazon Web Services (AWS) No 
Azure Databricks No 
BLACKBOX AI No 
Gauge No 
Google Cloud Platform No 
Hugging Face No 
JSON No 
LangChain No 
LlamaIndex No 
Microsoft 365 No 
NVIDIA DRIVE No 
Pinecone No 
Snowflake No 
Streamlit No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises Yes 
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) No 
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) Yes 
In Person No 

Types of Training

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

Vendor Details

Company Name

AI21 Labs

Country

Israel

Website

www.ai21.com/jamba

Vendor Details

Company Name

Cohere AI

Founded

2019

Country

Canada

Website

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

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