What is Falcon-7B?

The Falcon-7B model is a causal decoder-only architecture with a total of 7 billion parameters, created by TII, and trained on a vast dataset consisting of 1,500 billion tokens from RefinedWeb, along with additional carefully curated corpora, all under the Apache 2.0 license.

What are the benefits of using Falcon-7B?

This model excels compared to other open-source options like MPT-7B, StableLM, and RedPajama, primarily because of its extensive training on an unimaginably large dataset of 1,500 billion tokens from RefinedWeb, supplemented by thoughtfully selected content, which is clearly reflected in its performance ranking on the OpenLLM Leaderboard.

Furthermore, it features an architecture optimized for rapid inference, utilizing advanced technologies such as FlashAttention and multiquery strategies.

In addition, the flexibility offered by the Apache 2.0 license allows users to pursue commercial ventures without worrying about royalties or stringent constraints.

This unique blend of high performance and operational freedom positions Falcon-7B as an excellent option for developers in search of sophisticated modeling capabilities.

Ultimately, the model's design and resourcefulness make it a compelling choice in the rapidly evolving landscape of machine learning.

Pricing

Price Starts At:
Free
Price Overview:
Open source
Free Version:
Free Version available.

Screenshots and Video

Falcon-7B Screenshot 1

Company Facts

Company Name:
Technology Innovation Institute (TII)
Date Founded:
2019
Company Location:
United Arab Emirates
Company Website:
www.tii.ae/

Product Details

Deployment
SaaS
Windows
Mac
Linux
On-Prem
Training Options
Documentation Hub

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English

Falcon-7B Categories and Features

More Falcon-7B Categories