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

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

The newest version in the Llama series, Llama 3.3, represents a significant advancement in language models aimed at enhancing AI's capabilities in understanding and communication. It boasts improved contextual reasoning, superior language generation, and advanced fine-tuning features aimed at producing exceptionally accurate, human-like responses across a variety of uses. This iteration incorporates a more extensive training dataset, refined algorithms for deeper comprehension, and mitigated biases compared to earlier versions. Llama 3.3 stands out in applications including natural language understanding, creative writing, technical explanations, and multilingual interactions, making it a crucial asset for businesses, developers, and researchers alike. Additionally, its modular architecture facilitates customizable deployment in specific fields, ensuring it remains versatile and high-performing even in large-scale applications. With these enhancements, Llama 3.3 is poised to redefine the standards of AI language models.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Baseten
BlueFlame AI
C
C++
CSS
Entry Point AI
Evertune
F#
Go
Gopher
HTML
JavaScript
LM-Kit.NET
PostgresML
PromptPal
Python
Ruby
Tune AI
TypeScript
Waveloom

Integrations

Baseten
BlueFlame AI
C
C++
CSS
Entry Point AI
Evertune
F#
Go
Gopher
HTML
JavaScript
LM-Kit.NET
PostgresML
PromptPal
Python
Ruby
Tune AI
TypeScript
Waveloom

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

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

www.llama.com/docs/model-cards-and-prompt-formats/llama3_3/

Product Features

Alternatives

Falcon-40B Reviews

Falcon-40B

Technology Innovation Institute (TII)

Alternatives

Command A Reviews

Command A

Cohere AI
MiniMax-M1 Reviews

MiniMax-M1

MiniMax
Amazon Nova Reviews

Amazon Nova

Amazon
Yi-Large Reviews

Yi-Large

01.AI
DeepSeek R1 Reviews

DeepSeek R1

DeepSeek