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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

Stability AI, along with its CarperAI lab, is excited to unveil Stable Beluga 1 and its advanced successor, Stable Beluga 2, previously known as FreeWilly, both of which are robust new Large Language Models (LLMs) available for public use. These models exhibit remarkable reasoning capabilities across a wide range of benchmarks, showcasing their versatility and strength. Stable Beluga 1 is built on the original LLaMA 65B foundation model and has undergone meticulous fine-tuning with a novel synthetically-generated dataset utilizing Supervised Fine-Tune (SFT) in the conventional Alpaca format. In a similar vein, Stable Beluga 2 utilizes the LLaMA 2 70B foundation model, pushing the boundaries of performance in the industry. Their development marks a significant step forward in the evolution of open access AI technologies.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

No images available

Screenshots View All

Integrations

Deep Infra Yes 
Diaflow Yes 
Evertune Yes 
Jspreadsheet Yes 
Klee Yes 
Kong AI Gateway Yes 
Mirai Yes 
NVIDIA Llama Nemotron Yes 
Nurix Yes 
RagmyAI Yes 
RankLLM Yes 
SambaNova Yes 
Saptiva AI Yes 
Scottie Yes 
SpyderBot Yes 
Trusys AI Yes 
Tune AI Yes 
UndetectedGPT Yes 
Unframe Yes 
kluster.ai Yes 

Integrations

Deep Infra No 
Diaflow No 
Evertune No 
Jspreadsheet No 
Klee No 
Kong AI Gateway No 
Mirai No 
NVIDIA Llama Nemotron No 
Nurix No 
RagmyAI No 
RankLLM No 
SambaNova No 
Saptiva AI No 
Scottie No 
SpyderBot No 
Trusys AI No 
Tune AI No 
UndetectedGPT No 
Unframe No 
kluster.ai No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Open source
Free Trial No 
Free Version Yes 

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Meta

Founded

2004

Country

United States

Website

www.llama.com

Vendor Details

Company Name

Stability AI

Founded

2021

Country

United Kingdom

Website

stability.ai/news/stable-beluga-large-instruction-fine-tuned-models

Product Features

Alternatives

Alternatives

StableVicuna Reviews

StableVicuna

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Gemini Reviews

Gemini

Google
Llama 2 Reviews

Llama 2

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Alpaca Reviews

Alpaca

Stanford Center for Research on Foundation Models (CRFM)
Vicuna Reviews

Vicuna

lmsys.org