Falcon-40B is a 40-billion-parameter, causal decoder-only language model developed by the Technology Innovation Institute (TII) and trained on 1 trillion tokens from the RefinedWeb dataset and curated corpora. Designed for high inference efficiency, it incorporates FlashAttention and multiquery attention for faster processing. Falcon-40B outperforms LLaMA, MPT, and other open-source models, making it one of the top-performing public LLMs. It supports English, German, Spanish, and French, with limited capabilities in several other European languages. Although powerful, Falcon-40B is a raw pretrained model and is best used after fine-tuning for specific applications such as summarization, chatbots, or content generation. It is released under the permissive Apache 2.0 license, allowing commercial use. The model requires significant hardware (85–100 GB VRAM) but offers state-of-the-art performance for large-scale NLP research and development.
Features
- 40B parameter decoder-only transformer architecture
- Trained on 1T tokens from high-quality web and curated datasets
- FlashAttention and multiquery attention for optimized inference
- Apache 2.0 license allows unrestricted commercial use
- Supports multiple European languages with strong English performance
- Compatible with Hugging Face transformers and text-generation-inference
- Requires bfloat16 and PyTorch 2.0+ for optimal performance
- Can be fine-tuned for chatbots, summarization, and other NLP tasks
Project Samples
