Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Llama (Large Language Model Meta AI) stands as a cutting-edge foundational large language model aimed at helping researchers push the boundaries of their work within this area of artificial intelligence. By providing smaller yet highly effective models like Llama, the research community can benefit even if they lack extensive infrastructure, thus promoting greater accessibility in this dynamic and rapidly evolving domain. Creating smaller foundational models such as Llama is advantageous in the landscape of large language models, as it demands significantly reduced computational power and resources, facilitating the testing of innovative methods, confirming existing research, and investigating new applications. These foundational models leverage extensive unlabeled datasets, making them exceptionally suitable for fine-tuning across a range of tasks. We are offering Llama in multiple sizes (7B, 13B, 33B, and 65B parameters), accompanied by a detailed Llama model card that outlines our development process while adhering to our commitment to Responsible AI principles. By making these resources available, we aim to empower a broader segment of the research community to engage with and contribute to advancements in AI.

Description

Llama Guard is a collaborative open-source safety model created by Meta AI aimed at improving the security of large language models during interactions with humans. It operates as a filtering mechanism for inputs and outputs, categorizing both prompts and replies based on potential safety risks such as toxicity, hate speech, and false information. With training on a meticulously selected dataset, Llama Guard's performance rivals or surpasses that of existing moderation frameworks, including OpenAI's Moderation API and ToxicChat. This model features an instruction-tuned framework that permits developers to tailor its classification system and output styles to cater to specific applications. As a component of Meta's extensive "Purple Llama" project, it integrates both proactive and reactive security measures to ensure the responsible use of generative AI technologies. The availability of the model weights in the public domain invites additional exploration and modifications to address the continually changing landscape of AI safety concerns, fostering innovation and collaboration in the field. This open-access approach not only enhances the community's ability to experiment but also promotes a shared commitment to ethical AI development.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

No images available

Screenshots View All

Integrations

Nebius Token Factory Yes 
1forAll.ai Yes 
Azure Marketplace Yes 
Deasie Yes 
Decopy AI Yes 
FalkorDB Yes 
Kodosumi Yes 
NVIDIA Llama Nemotron Yes 
NudgeBee Yes 
Ontosight.ai Yes 
Oracle AI Agent Studio Yes 
PromptSignal Yes 
RagmyAI Yes 
RankLLM Yes 
Revere Yes 
SurePath AI Yes 
Teneo.AI Yes 
Teradata VantageCloud Yes 
Unframe Yes 
Waveloom Yes 

Integrations

Nebius Token Factory Yes 
1forAll.ai No 
Azure Marketplace No 
Deasie No 
Decopy AI No 
FalkorDB No 
Kodosumi No 
NVIDIA Llama Nemotron No 
NudgeBee No 
Ontosight.ai No 
Oracle AI Agent Studio No 
PromptSignal No 
RagmyAI No 
RankLLM No 
Revere No 
SurePath AI No 
Teneo.AI No 
Teradata VantageCloud No 
Unframe No 
Waveloom No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

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

Customer Support

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

Customer Support

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Meta

Founded

2004

Country

United States

Website

www.llama.com

Vendor Details

Company Name

Meta

Founded

2004

Country

United States

Website

ai.meta.com/research/publications/llama-guard-llm-based-input-output-safeguard-for-human-ai-conversations/

Product Features

Alternatives

Alternatives

Gemini Reviews

Gemini

Google
Llama 3 Reviews

Llama 3

Meta
Shieldstral Reviews

Shieldstral

Mistral AI
Alpaca Reviews

Alpaca

Stanford Center for Research on Foundation Models (CRFM)