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Average Ratings 0 Ratings

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ease
features
design
support

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Description

LTM-2-mini operates with a context of 100 million tokens, which is comparable to around 10 million lines of code or roughly 750 novels. This model employs a sequence-dimension algorithm that is approximately 1000 times more cost-effective per decoded token than the attention mechanism used in Llama 3.1 405B when handling a 100 million token context window. Furthermore, the disparity in memory usage is significantly greater; utilizing Llama 3.1 405B with a 100 million token context necessitates 638 H100 GPUs per user solely for maintaining a single 100 million token key-value cache. Conversely, LTM-2-mini requires only a minuscule portion of a single H100's high-bandwidth memory for the same context, demonstrating its efficiency. This substantial difference makes LTM-2-mini an appealing option for applications needing extensive context processing without the hefty resource demands.

Description

Syn represents an advanced Japanese large language model, collaboratively developed by Upstage and Karakuri, boasting under 14 billion parameters and tailored specifically for enterprise applications across sectors like finance, manufacturing, legal, and healthcare. It achieves exceptional benchmark results on the Weights & Biases Nejumi Leaderboard, showcasing industry-leading performance in both accuracy and alignment while ensuring cost efficiency through its streamlined architecture, which is inspired by Solar Mini. Additionally, Syn demonstrates remarkable proficiency in Japanese “truthfulness” and safety, adeptly grasping nuanced expressions and specialized terminology within various industries. It also provides versatile fine-tuning options to seamlessly incorporate proprietary data and domain expertise. Designed for extensive deployment, Syn is compatible with on-premises setups, AWS Marketplace, and cloud infrastructures, featuring robust security and compliance measures that cater to enterprise needs. Notably, by utilizing AWS Trainium, Syn is able to cut training expenses by around 50 percent when compared to conventional GPU configurations, thus facilitating swift customization for diverse applications. This innovative model not only enhances operational efficiency but also paves the way for more dynamic and responsive enterprise solutions.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AWS Marketplace No 
AWS Trainium No 
Amazon Web Services (AWS) No 
Solar Mini No 
Upstage AI No 

Integrations

AWS Marketplace Yes 
AWS Trainium Yes 
Amazon Web Services (AWS) Yes 
Solar Mini Yes 
Upstage AI Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$0.1 per 1M tokens
Free Trial No 
Free Version 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 

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 No 

Customer Support

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

Types of Training

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

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Magic AI

Founded

2022

Country

United States

Website

magic.dev/

Vendor Details

Company Name

Upstage AI

Founded

2020

Country

United States

Website

www.upstage.ai/news/introducing-upstage-japan

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