Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Gemini Enterprise Agent Platform Reviews & Ratings
    1,161 Ratings
    Company Website
  • Google AI Studio Reviews & Ratings
    41 Ratings
    Company Website
  • LTX Reviews & Ratings
    182 Ratings
    Company Website
  • LM-Kit.NET Reviews & Ratings
    29 Ratings
    Company Website
  • Evertune Reviews & Ratings
    1 Rating
    Company Website
  • optivalue.ai Reviews & Ratings
    4 Ratings
    Company Website
  • IONOS Cloud GPU Servers Reviews & Ratings
    45,340 Ratings
    Company Website
  • Planview AdaptiveWork Reviews & Ratings
    718 Ratings
    Company Website
  • Datasite Diligence Virtual Data Room Reviews & Ratings
    715 Ratings
    Company Website
  • ND Wallet Reviews & Ratings
    14 Ratings
    Company Website

What is Llama?

Llama, a leading-edge foundational large language model developed by Meta AI, is designed to assist researchers in expanding the frontiers of artificial intelligence research. By offering streamlined yet powerful models like Llama, even those with limited resources can access advanced tools, thereby enhancing inclusivity in this fast-paced and ever-evolving field. The development of more compact foundational models, such as Llama, proves beneficial in the realm of large language models since they require considerably less computational power and resources, which allows for the exploration of novel approaches, validation of existing studies, and examination of potential new applications. These models harness vast amounts of unlabeled data, rendering them particularly effective for fine-tuning across diverse tasks. We are introducing Llama in various sizes, including 7B, 13B, 33B, and 65B parameters, each supported by a comprehensive model card that details our development methodology while maintaining our dedication to Responsible AI practices. By providing these resources, we seek to empower a wider array of researchers to actively participate in and drive forward the developments in the field of AI. Ultimately, our goal is to foster an environment where innovation thrives and collaboration flourishes.

What is Gemma?

Gemma encompasses a series of innovative, lightweight open models inspired by the foundational research and technology that drive the Gemini models. Developed by Google DeepMind in collaboration with various teams at Google, the term "gemma" derives from Latin, meaning "precious stone." Alongside the release of our model weights, we are also providing resources designed to foster developer creativity, promote collaboration, and uphold ethical standards in the use of Gemma models. Sharing essential technical and infrastructural components with Gemini, our leading AI model available today, the 2B and 7B versions of Gemma demonstrate exceptional performance in their weight classes relative to other open models. Notably, these models are capable of running seamlessly on a developer's laptop or desktop, showcasing their adaptability. Moreover, Gemma has proven to not only surpass much larger models on key performance benchmarks but also adhere to our rigorous standards for producing safe and responsible outputs, thereby serving as an invaluable tool for developers seeking to leverage advanced AI capabilities. As such, Gemma represents a significant advancement in accessible AI technology.

Media

No images available

Media

Integrations Supported

AiAssistWorks
Atomic Chat
Axolotl
Cake AI
Jan
Locally AI
NativeMind
Nutanix Enterprise AI
Ollama
Undrstnd
Unsloth
WebLLM
oMLX
AI/ML API
AICamp
Bolna
Cyte
Deasie
PostgresML

Integrations Supported

AiAssistWorks
Atomic Chat
Axolotl
Cake AI
Jan
Locally AI
NativeMind
Nutanix Enterprise AI
Ollama
Undrstnd
Unsloth
WebLLM
oMLX
Gemini Robotics

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Supported Platforms

Windows
Mac
On-Prem
Linux

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Meta

Date Founded

2004

Company Location

United States

Company Website

www.llama.com

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

ai.google.dev/gemma

Categories and Features

AI Models

Not specified

Embedding Models

Not specified

Foundation Models

Not specified

Generative AI

Not specified

Large Language Models

Not specified

Small Language Models

Not specified

Categories and Features

AI Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Small Language Models

Not specified

Popular Alternatives

Gemini Reviews & Ratings

Gemini

Google

Popular Alternatives

Gemini Nano Reviews & Ratings

Gemini Nano

Google
Alpaca Reviews & Ratings

Alpaca

Stanford Center for Research on Foundation Models (CRFM)
Gemma 2 Reviews & Ratings

Gemma 2

Google
Gemma 3 Reviews & Ratings

Gemma 3

Google