Falcon
A family of large language models from the Technology Innovation Institute.
Overview
Falcon is a family of large language models developed by the Technology Innovation Institute (TII) in Abu Dhabi. The models are available in a range of sizes, including 7B, 40B, and 180B parameters, with both pretrained and instruction-tuned variants. Falcon models are released under the Apache 2.0 license, making them freely accessible for both research and commercial use. They are known for their strong performance and efficient architecture.
✨ Key Features
- Available in 7B, 40B, and 180B parameter sizes
- Pretrained and instruction-tuned variants
- Open-source under Apache 2.0 license for commercial use
- Multiquery attention for improved inference scalability
- Trained on high-quality, deduplicated data (RefinedWeb)
🎯 Key Differentiators
- Fully open-source for commercial use
- High-quality training data
- Efficient architecture with multiquery attention
Unique Value: Provides powerful, commercially-usable open-source LLMs with a focus on data quality and inference efficiency.
🎯 Use Cases (5)
🏆 Alternatives
Offers a strong, permissively licensed alternative to other open-source models that may have more restrictive licenses.
💻 Platforms
✅ Offline Mode Available
🔌 Integrations
💰 Pricing
Free tier: Free for research and commercial use under the Apache 2.0 license.
🔄 Similar Tools in Open Source LLMs
Meta Llama 3
A family of pretrained and instruction-tuned generative text models from Meta....
Mistral AI
A French company specializing in high-performance, efficient, and accessible large language models....
EleutherAI
A non-profit AI research group focused on open-source AI research and the development of large langu...
Qwen
A series of large language and multimodal models developed by Alibaba Cloud, with many variants dist...
Google Gemma
A family of lightweight, open models built from the same research and technology used to create the ...
BLOOM
An open-access multilingual large language model created by the BigScience collaborative research wo...