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Description

We have incorporated Llama 3 into Meta AI, our intelligent assistant that enhances how individuals accomplish tasks, innovate, and engage with Meta AI. By utilizing Meta AI for coding and problem-solving, you can experience Llama 3's capabilities first-hand. Whether you are creating agents or other AI-driven applications, Llama 3, available in both 8B and 70B versions, will provide the necessary capabilities and flexibility to bring your ideas to fruition. With the launch of Llama 3, we have also revised our Responsible Use Guide (RUG) to offer extensive guidance on the ethical development of LLMs. Our system-focused strategy encompasses enhancements to our trust and safety mechanisms, including Llama Guard 2, which is designed to align with the newly introduced taxonomy from MLCommons, broadening its scope to cover a wider array of safety categories, alongside code shield and Cybersec Eval 2. Additionally, these advancements aim to ensure a safer and more responsible use of AI technologies in various applications.

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 No 

API Access

Has API No 

Screenshots View All

Screenshots View All

No images available

Integrations

Runpod Yes 
AI/ML API Yes 
BrainyAI Yes 
Diaflow Yes 
F# Yes 
Fleak Yes 
Go Yes 
Invisibility Yes 
LM-Kit.NET Yes 
Lakera Yes 
Luminal Yes 
Meta Model API Yes 
OpenLIT Yes 
PostgresML Yes 
Python Yes 
Ruby Yes 
Tinker Yes 
Tune AI Yes 
Visual Basic Yes 
Yaseen AI Yes 

Integrations

Runpod Yes 
AI/ML API No 
BrainyAI No 
Diaflow No 
F# No 
Fleak No 
Go No 
Invisibility No 
LM-Kit.NET No 
Lakera No 
Luminal No 
Meta Model API No 
OpenLIT No 
PostgresML No 
Python No 
Ruby No 
Tinker No 
Tune AI No 
Visual Basic No 
Yaseen AI No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

Free
Open source
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Meta

Founded

2004

Country

United States

Website

llama.meta.com

Vendor Details

Company Name

TinyLlama

Website

github.com/jzhang38/TinyLlama

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