Falcon-H1: Innovative Hybrid AI Architecture Setting New Benchmarks.
Meet a new family of fast and efficient AI models so powerful, they outperform models twice their size.
Falcon-H1’s innovative hybrid architecture combines the strengths of Transformer and Mamba
State-of-the-art performance across all Falcon-H1 models, as well as significantly faster inference speeds to Transformer models for long-context processing
Drastically reduced memory usage makes Falcon-H1 models perfect for real-world deployments
Production-ready family of six models (0.5B, 1.5B, 1.5B-Deep, 3B, 7B, 34B), each beating the best in their class.
Exceptional performance-to-efficiency ratio geared for long-context processing
A multi-lingual AI ecosystem designed to meet a broad range of tasks and deployments
AI innovation – and its deployment in the real world – is speeding up. Until now, users had to make a trade-off between performance and efficiency. The unique hybrid architecture of Falcon-H1 (based on Transformer and Mamba architecture) gives you a family of AI models that delivers the best of both worlds – combining strong general-purpose comprehension with highly efficient processing. Thanks to an updated version of Maximal Update Parametrization it is possible to train the models reliably at very large scales; in fact, it makes the process of increasing model size much safer and more efficient.
Transformer architecture scales quadratically for strong performance, while Mamba (or State Space Models) architecture uses sequence processing and scales linearly. By combining the strengths of both architectures, Falcon-H1 models are more stable, predictable and memory efficient – and still beat the best in their class, each outperforming models twice their size. With the Falcon-H1 family, TII is setting new benchmarks in the usability and performance-to-efficiency ratio for AI models in both Base and Instruct formats.
The Falcon-H1 family covers 18 languages out of the box – including Arabic – and can be scaled seamlessly to more than 100 languages thanks to its multilingual tokenizer trained across diverse language datasets.
Model Details
We designed Falcon-H1 to solve one of the biggest challenges in AI: delivering speed and performance without the need for a bloated infrastructure. These AI models are powerful enough for the enterprise, but light enough to run where other models can’t.
Take our exceptionally small yet powerful 0.5B model, which delivers efficient low-cost and low-latency AI on small or mobile devices at the edge, but with a performance that’s close to typical 7B models. Our 1.5B-deep model outperforms even 10B models on a wide range of tasks. Both give users powerful AI even on devices that have low-bandwidth or are offline. With Falcon-H1 you can deploy impressive AI power where low latency is a must.
Whether you need the productivity of AI on edge devices, laptops or on enterprise-level cloud servers, the Falcon-H1 ecosystem is production-ready and offers you models at just the right scale, all the way up to 34B Base and Instruct models that are perfect for large enterprise systems.
Thanks to their 262K context window size, Falcon-H1 models are ideal for processing lengthy conversations and documents.
Falcon-H1 models are available now for download on Hugging Face and FalconLLM.TII.ae. They are released under the TII Falcon License, which encourages responsible and ethical AI development.
Falcon-H1: A Fundamental Shift in AI Design
Hybrid
Architecture for
High Performance
The Falcon-H1 ecosystem offers the best of both the Transformer and Mamba architectures, delivering high performance and speed, while demanding less memory and compute.
Scaled from
the Edge to the
Enterprise
With a massive context window up-to 262K and a model size range from 0.5B to 34B, Falcon-H1 delivers AI power wherever it’s needed.
AI built for the
users
Falcon-H1 models are efficient, scalable, multi-lingual, and production-ready – optimized to work on your infrastructure and use case.
