Average Ratings 0 Ratings

Total
ease
features
design
support

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

Write a Review

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

Phi-4 is an advanced small language model (SLM) comprising 14 billion parameters, showcasing exceptional capabilities in intricate reasoning tasks, particularly in mathematics, alongside typical language processing functions. As the newest addition to the Phi family of small language models, Phi-4 illustrates the potential advancements we can achieve while exploring the limits of SLM technology. It is currently accessible on Azure AI Foundry under a Microsoft Research License Agreement (MSRLA) and is set to be released on Hugging Face in the near future. Due to significant improvements in processes such as the employment of high-quality synthetic datasets and the careful curation of organic data, Phi-4 surpasses both comparable and larger models in mathematical reasoning tasks. This model not only emphasizes the ongoing evolution of language models but also highlights the delicate balance between model size and output quality. As we continue to innovate, Phi-4 stands as a testament to our commitment to pushing the boundaries of what's achievable within the realm of small language models.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

BLACKBOX AI Yes 
Hugging Face Yes 
Amazon Web Services (AWS) Yes 
Azure Databricks Yes 
Azure Voice Live API No 
Gauge Yes 
Google Cloud Platform Yes 
JSON Yes 
LM-Kit.NET No 
LangChain Yes 
LlamaIndex Yes 
Microsoft 365 Yes 
Microsoft Foundry No 
Microsoft Foundry Models No 
NVIDIA DRIVE Yes 
NativeMind No 
Pinecone Yes 
Private Mind No 
Runpod No 
Streamlit Yes 

Integrations

BLACKBOX AI Yes 
Hugging Face Yes 
Amazon Web Services (AWS) No 
Azure Databricks No 
Azure Voice Live API Yes 
Gauge No 
Google Cloud Platform No 
JSON No 
LM-Kit.NET Yes 
LangChain No 
LlamaIndex No 
Microsoft 365 No 
Microsoft Foundry Yes 
Microsoft Foundry Models Yes 
NVIDIA DRIVE No 
NativeMind Yes 
Pinecone No 
Private Mind Yes 
Runpod Yes 
Streamlit No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

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 No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

AI21 Labs

Country

Israel

Website

www.ai21.com/jamba

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

microsoft.com

Alternatives

Mistral NeMo Reviews

Mistral NeMo

Mistral AI

Alternatives

Aion 1.0 Plan Reviews

Aion 1.0 Plan

Microsoft
Llama 2 Reviews

Llama 2

Meta
Phi-4-reasoning Reviews

Phi-4-reasoning

Microsoft
Gemma 3n Reviews

Gemma 3n

Google DeepMind