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Open-Source, Multilingual, and Multimodal – and is only AI Model with Vision-to-Language Capabilities. New Falcon 2 11B Outperforms Meta’s Llama 3 8B, and Performs on par with leading Google Gemma 7B Model, as Independently Verified by Hugging Face Leaderboard.
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The download of Falcon Mamba 7B is subject to our Terms &...
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Generative AI models are enabling us to create innovative...
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The license allows companies and developers to use Falcon...
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Falcon has 40 billion parameters and was trained on one...
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The Technology Innovation Institute (TII) is a leading...
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Falcon 180B TII License Version 1.0 . September 2023....
- Falcon Home
Mar 15, 2023 · Falcon LLM is a generative large language model (LLM) that helps advance applications and use cases to future-proof our world. Today the Falcon 180B, 40B, 7.5B, 1.3B parameter AI models, as well as our high-quality REFINEDWEB dataset, form a suite of offerings.
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Falcon LLM is a generative large language model (LLM) that helps advance applications and use cases to future-proof our world. Today the Falcon 2, 180B, 40B, 7.5B, 1.3B parameter AI models, as well as our high-quality REFINEDWEB dataset, form a suite of offerings.
Jun 15, 2023 · Since June 2023, the model is now free for personal and commercial, opening up even more opportunities for anyone in search of a powerful AI tool. How was the system trained? Falcon-40B...
Feb 15, 2024 · Fortunately, Falcon AI, a highly capable Generative Model, surpassing many other LLMs, and it is now open source, available for anyone to use. Falcon AI integrates cutting-edge machine learning techniques, offering users unprecedented capabilities in generating natural language text.
Cybersecurity’s AI-native platform for the XDR era: Stop breaches, reduce complexity, and lower total cost with a single platform, console, and agent.
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Sep 6, 2023 · Today, we're excited to welcome TII's Falcon 180B to HuggingFace! Falcon 180B sets a new state-of-the-art for open models. It is the largest openly available language model, with 180 billion parameters, and was trained on a massive 3.5 trillion tokens using TII's RefinedWeb dataset.