Llama

Llama

Meta
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About

Llama (Large Language Model Meta AI) is a state-of-the-art foundational large language model designed to help researchers advance their work in this subfield of AI. Smaller, more performant models such as Llama enable others in the research community who don’t have access to large amounts of infrastructure to study these models, further democratizing access in this important, fast-changing field. Training smaller foundation models like Llama is desirable in the large language model space because it requires far less computing power and resources to test new approaches, validate others’ work, and explore new use cases. Foundation models train on a large set of unlabeled data, which makes them ideal for fine-tuning for a variety of tasks. We are making Llama available at several sizes (7B, 13B, 33B, and 65B parameters) and also sharing a Llama model card that details how we built the model in keeping with our approach to Responsible AI practices.

About

Nomic Embed is a suite of open source, high-performance embedding models designed for various applications, including multilingual text, multimodal content, and code. The ecosystem includes models like Nomic Embed Text v2, which utilizes a Mixture-of-Experts (MoE) architecture to support over 100 languages with efficient inference using 305M active parameters. Nomic Embed Text v1.5 offers variable embedding dimensions (64 to 768) through Matryoshka Representation Learning, enabling developers to balance performance and storage needs. For multimodal applications, Nomic Embed Vision v1.5 aligns with the text models to provide a unified latent space for text and image data, facilitating seamless multimodal search. Additionally, Nomic Embed Code delivers state-of-the-art performance on code embedding tasks across multiple programming languages.

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

AI developers interested in a powerful large language model

Audience

Machine learning engineers and developers seeking a solution offering embedding models for multilingual text, multimodal content, and code applications

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

No images available

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
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

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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
www.llama.com

Company Information

Nomic
United States
www.nomic.ai/embed

Alternatives

Gemini

Gemini

Google

Alternatives

Alpaca

Alpaca

Stanford Center for Research on Foundation Models (CRFM)
Llama 2

Llama 2

Meta

Categories

Categories

Integrations

1min.AI
Agenta
Alumnium
CoSpaceGPT
DataChain
Evertune
HubSpot AI Search Grader
JustSimpleChat
NVIDIA DGX Cloud Serverless Inference
NVIDIA Llama Nemotron
Nutanix Enterprise AI
Ragas
Ruby
Saptiva AI
SectorFlow
SiliconFlow
Sim Studio
Teradata VantageCloud
Void Editor
WebLLM

Integrations

1min.AI
Agenta
Alumnium
CoSpaceGPT
DataChain
Evertune
HubSpot AI Search Grader
JustSimpleChat
NVIDIA DGX Cloud Serverless Inference
NVIDIA Llama Nemotron
Nutanix Enterprise AI
Ragas
Ruby
Saptiva AI
SectorFlow
SiliconFlow
Sim Studio
Teradata VantageCloud
Void Editor
WebLLM
Claim Llama and update features and information
Claim Llama and update features and information
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Claim Nomic Embed and update features and information