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What is Llama 4 Scout?

Llama 4 Scout represents a leap forward in multimodal AI, featuring 17 billion active parameters and a groundbreaking 10 million token context length. With its ability to integrate both text and image data, Llama 4 Scout excels at tasks like multi-document summarization, complex reasoning, and image grounding. It delivers superior performance across various benchmarks and is particularly effective in applications requiring both language and visual comprehension. Scout's efficiency and advanced capabilities make it an ideal solution for developers and businesses looking for a versatile and powerful model to enhance their AI-driven projects.

What is BitNet?

The BitNet b1.58 2B4T from Microsoft represents a major leap forward in the efficiency of Large Language Models. By using native 1-bit weights and optimized 8-bit activations, this model reduces computational overhead without compromising performance. With 2 billion parameters and training on 4 trillion tokens, it provides powerful AI capabilities with significant efficiency benefits, including faster inference and lower energy consumption. This model is especially useful for AI applications where performance at scale and resource conservation are critical.

Media

Media

No images available

Integrations Supported

AiAssistWorks
Baseten
C#
C++
Elixir
F#
JavaScript
Llama
Llama 4 Maverick
Meta AI
Meta Model API
OpenRouter
OpenTag
R
Rust
SQL
SambaNova
Scala
TypeScript
Visual Basic

Integrations Supported

API Availability

API Availability

Pricing Information

Free
Open source
Free Version

Pricing Information

Free
Open source
Free Version

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Supported Platforms

Windows
Mac
On-Prem
Linux

Customer Service / Support

Not specified

Customer Service / Support

Not specified

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Meta

Date Founded

2004

Company Location

United States

Company Website

ai.meta.com

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

microsoft.com

Categories and Features

AI Models

Not specified

AI Reasoning Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Multimodal Models

Not specified

Small Language Models

Not specified

Categories and Features

AI Models

Not specified

Large Language Models

Not specified

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