Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Enterprise Bot Reviews & Ratings
    23 Ratings
    Company Website
  • LM-Kit.NET Reviews & Ratings
    29 Ratings
    Company Website
  • Gemini Enterprise Agent Platform Reviews & Ratings
    962 Ratings
    Company Website
  • Google AI Studio Reviews & Ratings
    26 Ratings
    Company Website
  • TinyPNG Reviews & Ratings
    55 Ratings
    Company Website
  • InEight Reviews & Ratings
    126 Ratings
    Company Website
  • RaimaDB Reviews & Ratings
    12 Ratings
    Company Website
  • Juspay Reviews & Ratings
    17 Ratings
    Company Website
  • ND Wallet Reviews & Ratings
    14 Ratings
    Company Website
  • Coevera Reviews & Ratings
    750 Ratings
    Company Website

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 3?

We have integrated Llama 3 into Meta AI, our smart assistant that transforms the way people perform tasks, innovate, and interact with technology. By leveraging Meta AI for coding and troubleshooting, users can directly experience the power of Llama 3. Whether you are developing agents or other AI-based solutions, Llama 3, which is offered in both 8B and 70B variants, delivers the essential features and adaptability needed to turn your concepts into reality. In conjunction with the launch of Llama 3, we have updated our Responsible Use Guide (RUG) to provide comprehensive recommendations on the ethical development of large language models. Our approach focuses on enhancing trust and safety measures, including the introduction of Llama Guard 2, which aligns with the newly established taxonomy from MLCommons and expands its coverage to include a broader range of safety categories, alongside code shield and Cybersec Eval 2. Moreover, these improvements are designed to promote a safer and more responsible application of AI technologies across different fields, ensuring that users can confidently harness these innovations. The commitment to ethical standards reflects our dedication to fostering a secure and trustworthy AI environment.

Media

No images available

Media

Integrations Supported

RunPod
Agenta
AiAssistWorks
BrandRank.AI
Decopy AI
FlavorGPT
Go
Invisibility
JavaScript
Julia
LLaMA-Factory
Mammouth AI
Meta AI
MindMac
OpenHands
Outspeed
PostgresML
Snowflake Cortex AI
You.com
YouPro

Integrations Supported

RunPod
Agenta
AiAssistWorks
BrandRank.AI
Decopy AI
FlavorGPT
Go
Invisibility
JavaScript
Julia
LLaMA-Factory
Mammouth AI
Meta AI
MindMac
OpenHands
Outspeed
PostgresML
Snowflake Cortex AI
You.com
YouPro

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

llama.meta.com

Categories and Features

Popular Alternatives

Llama 2 Reviews & Ratings

Llama 2

Meta

Popular Alternatives

Claude Haiku 3 Reviews & Ratings

Claude Haiku 3

Anthropic