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What is TinyLlama?

The TinyLlama project aims to pretrain a Llama model featuring 1.1 billion parameters, leveraging a vast dataset of 3 trillion tokens. With effective optimizations, this challenging endeavor can be accomplished in only 90 days, making use of 16 A100-40G GPUs for processing power. By preserving the same architecture and tokenizer as Llama 2, we ensure that TinyLlama remains compatible with a range of open-source projects built upon Llama. Moreover, the model's streamlined architecture, with its 1.1 billion parameters, renders it ideal for various applications that demand minimal computational power and memory. This adaptability allows developers to effortlessly incorporate TinyLlama into their current systems and processes, fostering innovation in resource-constrained environments. As a result, TinyLlama not only enhances accessibility but also encourages experimentation in the field of machine learning.

What is Llama 4 Behemoth?

Meta’s Llama 4 Behemoth is an advanced multimodal AI model that boasts 288 billion active parameters, making it one of the most powerful models in the world. It outperforms other leading models like GPT-4.5 and Gemini 2.0 Pro on numerous STEM-focused benchmarks, showcasing exceptional skills in math, reasoning, and image understanding. As the teacher model behind Llama 4 Scout and Llama 4 Maverick, Llama 4 Behemoth drives major advancements in model distillation, improving both efficiency and performance. Currently still in training, Behemoth is expected to redefine AI intelligence and multimodal processing once fully deployed.

Media

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Integrations Supported

C#
C++
CSS
CometAPI
Elixir
F#
HTML
Java
JavaScript
Julia
LaunchLemonade
Llama 4 Scout
Meta AI
PHP
Python
R
SambaNova
Scala
Snowflake
Snowflake Cortex AI

Integrations Supported

C#
C++
CSS
CometAPI
Elixir
F#
HTML
Java
JavaScript
Julia
LaunchLemonade
Llama 4 Scout
Meta AI
PHP
Python
R
SambaNova
Scala
Snowflake
Snowflake Cortex AI

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

TinyLlama

Company Website

github.com/jzhang38/TinyLlama

Company Facts

Organization Name

Meta

Date Founded

2004

Company Location

United States

Company Website

ai.meta.com

Categories and Features

Categories and Features

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