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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

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

Llama 4 Scout is an advanced multimodal AI model with 17 billion active parameters, offering industry-leading performance with a 10 million token context length. This enables it to handle complex tasks like multi-document summarization and detailed code reasoning with impressive accuracy. Scout surpasses previous Llama models in both text and image understanding, making it an excellent choice for applications that require a combination of language processing and image analysis. Its powerful capabilities in long-context tasks and image-grounding applications set it apart from other models in its class, providing superior results for a wide range of industries.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Baseten No 
C No 
C# No 
CSS No 
CentML No 
Elixir No 
F# No 
HTML No 
Java No 
LLM Council No 
Meta AI No 
PHP No 
Python No 
Ruby No 
SQL No 
SambaNova No 
Scala No 
Snowflake No 
TypeScript No 
Visual Basic No 

Integrations

Baseten Yes 
C Yes 
C# Yes 
CSS Yes 
CentML Yes 
Elixir Yes 
F# Yes 
HTML Yes 
Java Yes 
LLM Council Yes 
Meta AI Yes 
PHP Yes 
Python Yes 
Ruby Yes 
SQL Yes 
SambaNova Yes 
Scala Yes 
Snowflake Yes 
TypeScript Yes 
Visual Basic Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Open source
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 Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

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

Customer Support

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Magic AI

Founded

2022

Country

United States

Website

magic.dev/

Vendor Details

Company Name

Meta

Founded

2004

Country

United States

Website

ai.meta.com

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