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What is PygmalionAI?

PygmalionAI is a dynamic community dedicated to advancing open-source projects that leverage EleutherAI's GPT-J 6B and Meta's LLaMA models. In essence, Pygmalion focuses on creating AI designed for interactive dialogues and roleplaying experiences. The Pygmalion AI model is actively maintained and currently showcases the 7B variant, which is based on Meta AI's LLaMA framework. With a minimal requirement of just 18GB (or even less) of VRAM, Pygmalion provides exceptional chat capabilities that surpass those of much larger language models, all while being resource-efficient. Our carefully curated dataset, filled with high-quality roleplaying material, ensures that your AI companion will excel in various roleplaying contexts. Both the model weights and the training code are fully open-source, granting you the liberty to modify and share them as you wish. Typically, language models like Pygmalion are designed to run on GPUs, as they need rapid memory access and significant computational power to produce coherent text effectively. Consequently, users can anticipate a fluid and engaging interaction experience when utilizing Pygmalion's features. This commitment to both performance and community collaboration makes Pygmalion a standout choice in the realm of conversational AI.

What is Llama 2?

We are excited to unveil the latest version of our open-source large language model, which includes model weights and initial code for the pretrained and fine-tuned Llama language models, ranging from 7 billion to 70 billion parameters. The Llama 2 pretrained models have been crafted using a remarkable 2 trillion tokens and boast double the context length compared to the first iteration, Llama 1. Additionally, the fine-tuned models have been refined through the insights gained from over 1 million human annotations. Llama 2 showcases outstanding performance compared to various other open-source language models across a wide array of external benchmarks, particularly excelling in reasoning, coding abilities, proficiency, and knowledge assessments. For its training, Llama 2 leveraged publicly available online data sources, while the fine-tuned variant, Llama-2-chat, integrates publicly accessible instruction datasets alongside the extensive human annotations mentioned earlier. Our project is backed by a robust coalition of global stakeholders who are passionate about our open approach to AI, including companies that have offered valuable early feedback and are eager to collaborate with us on Llama 2. The enthusiasm surrounding Llama 2 not only highlights its advancements but also marks a significant transformation in the collaborative development and application of AI technologies. This collective effort underscores the potential for innovation that can emerge when the community comes together to share resources and insights.

Media

Media

Integrations Supported

Integrations Supported

AI4Chat
Airtrain
Anyscale
Azure Marketplace
Code Llama
GMTech
GaiaNet
Groq
InfoBaseAI
Meta AI
Microsoft Foundry Agent Service
ModelOp
Ollama
SectorFlow
TESS AI
Unify AI
Unsloth
WebLLM
WebOrion Protector Plus

API Availability

API Availability

Pricing Information

Free
Free Version

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

PygmalionAI

Company Website

pygmalion.chat/

Company Facts

Organization Name

Meta

Date Founded

2004

Company Location

United States

Company Website

ai.meta.com/llama/

Categories and Features

AI Models

Not specified

Chatbot

Not specified

Conversational AI

Not specified

Large Language Models

Not specified

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

Large Language Models

Not specified

Small Language Models

Not specified

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