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ease
features
design
support

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Description

Llama 4 Maverick is a cutting-edge multimodal AI model with 17 billion active parameters and 128 experts, setting a new standard for efficiency and performance. It excels in diverse domains, outperforming other models such as GPT-4o and Gemini 2.0 Flash in coding, reasoning, and image-related tasks. Llama 4 Maverick integrates both text and image processing seamlessly, offering enhanced capabilities for complex tasks such as visual question answering, content generation, and problem-solving. The model’s performance-to-cost ratio makes it an ideal choice for businesses looking to integrate powerful AI into their operations without the hefty resource demands.

Description

The TinyLlama initiative seeks to pretrain a Llama model with 1.1 billion parameters using a dataset of 3 trillion tokens. With the right optimizations, this ambitious task can be completed in a mere 90 days, utilizing 16 A100-40G GPUs. We have maintained the same architecture and tokenizer as Llama 2, ensuring that TinyLlama is compatible with various open-source projects that are based on Llama. Additionally, the model's compact design, consisting of just 1.1 billion parameters, makes it suitable for numerous applications that require limited computational resources and memory. This versatility enables developers to integrate TinyLlama seamlessly into their existing frameworks and workflows.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

No images available

Integrations

BLACKBOX AI
Baseten
C#
CentML
Clojure
Elixir
F#
Groq
HTML
Java
JavaScript
Llama
Meta AI
Novelcrafter
Okara
PHP
Rust
Scala
Snowflake
Snowflake Cortex AI

Integrations

BLACKBOX AI
Baseten
C#
CentML
Clojure
Elixir
F#
Groq
HTML
Java
JavaScript
Llama
Meta AI
Novelcrafter
Okara
PHP
Rust
Scala
Snowflake
Snowflake Cortex AI

Pricing Details

Free
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

Meta

Founded

2004

Country

United States

Website

ai.meta.com

Vendor Details

Company Name

TinyLlama

Website

github.com/jzhang38/TinyLlama

Product Features

Alternatives

Alternatives

Llama 2 Reviews

Llama 2

Meta