Technology Innovation Institute (TII) in the UAE has launched Falcon 180B, an open access large language model with 180 billion parameters trained on 3.5 trillion tokens. Falcon 180B ranks first on the Hugging Face Leaderboard for pretrained LLMs, outperforming Meta's LLaMA 2 and nearing the performance of OpenAI's GPT-4 and Google's PaLM 2. The model is available for research and commercial use under the 'Falcon 180B TII License', based upon Apache 2.0. Why it matters: This release strengthens the UAE's position in AI development and promotes open access to advanced AI technology, fostering innovation and collaboration.
TII's Falcon 40B, a 40-billion-parameter open-source AI model, has ranked #1 on Hugging Face's Open LLM Leaderboard, surpassing models like LLaMA and StableLM. The leaderboard uses benchmarks like AI2 Reasoning Challenge, HellaSwag, MMLU, and TruthfulQA. Trained on one trillion tokens, Falcon 40B's weights are available for research and commercial use. Why it matters: This achievement positions the UAE as a leader in generative AI and promotes transparent, inclusive AI development.
The Technology Innovation Institute (TII) in Abu Dhabi has launched Falcon 3, a new series of open-source large language models. Falcon 3 models range in size from 1B to 10B parameters and have been trained on 14 trillion tokens. Falcon 3 achieved the top spot on Hugging Face's LLM leaderboard for models under 13 billion parameters. Why it matters: This release democratizes access to high-performance AI by enabling efficient operation on laptops and light infrastructure, solidifying the UAE's position as a leader in open-source AI development.
Technology Innovation Institute (TII) has released Falcon Mamba 7B, a new large language model and the first State Space Language Model (SSLM) in its Falcon series. Falcon Mamba 7B is the top-ranked open-source SSLM globally, outperforming Meta's Llama 3.1 8B, Llama 3 8B, and Mistral’s 7B on HuggingFace benchmarks. SSLMs excel at understanding complex, evolving situations and have applications in NLP tasks like machine translation and text summarization. Why it matters: This release strengthens the UAE's position as an AI hub, demonstrating TII's commitment to pioneering research and open-source AI development in the region.
The Technology Innovation Institute (TII) in Abu Dhabi has launched Falcon 2, a new series of large language models including the Falcon 2 11B and Falcon 2 11B VLM. The Falcon 2 11B outperforms Meta’s Llama 3 (8B) and performs on par with Google’s Gemma 7B, as verified by Hugging Face. Falcon 2 11B VLM is TII's first multimodal model with vision-to-language capabilities and is open-source, making it accessible to developers. Why it matters: This release strengthens the UAE's position in AI research and development, providing open-source models that can be deployed on smaller infrastructures and used in diverse sectors.
The Technology Innovation Institute (TII) in the UAE has made its Falcon 40B large language model royalty-free for commercial and research use. Falcon 40B is ranked #1 on Hugging Face's leaderboard for LLMs, outperforming models like LLaMA. The model is now available under the Apache 2.0 license, promoting open access and collaboration in AI. Why it matters: This decision could accelerate AI innovation in the region by providing easier access to a state-of-the-art LLM for both public and private sector applications.
Technology Innovation Institute (TII) has launched Falcon H1R 7B, an open-source 7B parameter AI model with reasoning capabilities. It outperforms larger models like Microsoft Phi 4 Reasoning Plus 14B, Alibaba Qwen3 32B, and NVIDIA Nemotron H 47B on key benchmarks. The model uses a hybrid Transformer–Mamba architecture for improved accuracy and speed and is available on Hugging Face under the Falcon TII License. Why it matters: This release highlights the UAE's growing role in AI innovation by providing an efficient and accessible model for global research and development.
The paper introduces AraPoemBERT, an Arabic language model pretrained exclusively on 2.09 million verses of Arabic poetry. AraPoemBERT was evaluated against five other Arabic language models on tasks including poet's gender classification (99.34% accuracy) and poetry sub-meter classification (97.79% accuracy). The model achieved state-of-the-art results in these and other downstream tasks, and is publicly available on Hugging Face. Why it matters: This specialized model advances Arabic NLP by providing a new state-of-the-art tool tailored for the nuances of classical Arabic poetry.