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About

Llama Guard is an open-source safeguard model developed by Meta AI to enhance the safety of large language models in human-AI conversations. It functions as an input-output filter, classifying both prompts and responses into safety risk categories, including toxicity, hate speech, and hallucinations. Trained on a curated dataset, Llama Guard achieves performance on par with or exceeding existing moderation tools like OpenAI's Moderation API and ToxicChat. Its instruction-tuned architecture allows for customization, enabling developers to adapt its taxonomy and output formats to specific use cases. Llama Guard is part of Meta's broader "Purple Llama" initiative, which combines offensive and defensive security strategies to responsibly deploy generative AI models. The model weights are publicly available, encouraging further research and adaptation to meet evolving AI safety needs.

About

OpenPipe provides fine-tuning for developers. Keep your datasets, models, and evaluations all in one place. Train new models with the click of a button. Automatically record LLM requests and responses. Create datasets from your captured data. Train multiple base models on the same dataset. We serve your model on our managed endpoints that scale to millions of requests. Write evaluations and compare model outputs side by side. Change a couple of lines of code, and you're good to go. Simply replace your Python or Javascript OpenAI SDK and add an OpenPipe API key. Make your data searchable with custom tags. Small specialized models cost much less to run than large multipurpose LLMs. Replace prompts with models in minutes, not weeks. Fine-tuned Mistral and Llama 2 models consistently outperform GPT-4-1106-Turbo, at a fraction of the cost. We're open-source, and so are many of the base models we use. Own your own weights when you fine-tune Mistral and Llama 2, and download them at any time.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Anyone searching for a tool to implement customizable safety measures in their generative AI applications

Audience

Developers requiring a solution to replace prompts with faster, cheaper fine-tuned models

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

$1.20 per 1M tokens
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Meta
Founded: 2004
United States
ai.meta.com/research/publications/llama-guard-llm-based-input-output-safeguard-for-human-ai-conversations/

Company Information

OpenPipe
United States
openpipe.ai/

Alternatives

Llama 3

Llama 3

Meta

Alternatives

Llama 2

Llama 2

Meta
Llama 2

Llama 2

Meta

Categories

Categories

Integrations

OpenAI
Axolotl
Codestral
Codestral Mamba
JSON
Le Chat
Llama
Llama 2
Mathstral
Ministral 3B
Ministral 8B
Mistral 7B
Mistral Large
Mixtral 8x7B
Nebius Token Factory
Node.js
Pixtral Large
PostgreSQL
Python
TypeScript

Integrations

OpenAI
Axolotl
Codestral
Codestral Mamba
JSON
Le Chat
Llama
Llama 2
Mathstral
Ministral 3B
Ministral 8B
Mistral 7B
Mistral Large
Mixtral 8x7B
Nebius Token Factory
Node.js
Pixtral Large
PostgreSQL
Python
TypeScript
Claim Llama Guard and update features and information
Claim Llama Guard and update features and information
Claim OpenPipe and update features and information
Claim OpenPipe and update features and information