Falcon

Check out the Arabic version translated by Falcon-Arabic TL;DR Falcon-OCR-Arabic extends Falcon OCR to Arabic documents without changing its architecture. Falcon OCR is our 270M-parameter early-fusion OCR model, introduced in the Falcon Perception blog post. We adapt it in two stages: supervised finetuning (SFT) on real and synthetic Arabic documents, then reinforcement learning (RL) on a curated set of high-quality samples. On our Arabic document benchmark, Falcon-OCR-Arabic: ranks #2 of 17 models with 81.9% text accuracy, behind only Gemini 3.5 Flash (84.3%) beats Claude Opus 5.5, Claude Fable 5, GPT Astra and Qwen 3.8 Max, and leads every dedicated OCR model in the comparison by more than 20 points has the highest Table TEDS of all 17 models (59.95%), 8.65 points ahead of the next best ranks #1 on official documents, administrative forms, receipts and invoices, and finishes in the top 4 in all 15 categories It does this with 270M parameters. Try it in the playground. ...

Check out the Arabic version translated by Falcon-Arabic Arabic is really a family of languages living under one name. Modern Standard Arabic is what you read in the news or a textbook, but it’s rarely how people actually talk to each other. In the UAE, day-to-day conversation, humor, negotiation, and storytelling happen in Emirati Arabic, a Gulf dialect with its own vocabulary, its own rhythm, and a culture wrapped tightly around it. Emirati poetry, especially nabati poetry, along with proverbs and short anecdotes, carries meaning that doesn’t survive a literal, word-for-word reading. A model that only knows MSA can translate every word of an Emirati sentence and still miss what it actually means. ...

Falcon CHAT Hugging Face DISCORD Introducing Falcon H1R 7B FP8, a fully quantized version of the Falcon H1R 7B model that packs both weights and activations into FP8 format. Using NVIDIA Model Optimizer and post-training quantization (PTQ) workflow, the FP8 quantized model preserves the original BF16 quality performance while delivering a 1.2×–1.5× throughput boost and halving GPU memory footprint. Evaluations The FP8 variant retains essentially the same accuracy as BF16 across all three major reasoning tasks: AIME25 drops only 0.8 % (from 83.1 % to 82.3 %), LCB‑v6 falls by 1 % (68.6 % → 67.6 %), and GPQA‑D shows a negligible 0.1 % difference (61.3 % → 61.2 %). These results confirm that the FP8 PTQ preserves benchmark performance while delivering substantial memory and throughput gains. ...

Falcon CHAT Hugging Face DEMO DISCORD Introducing Falcon H1R 7B We’re excited to unveil Falcon H1R 7B, a decoder-only large language model, developed by the Technology Innovation Institute (TII) in Abu Dhabi. Building upon the robust foundation of Falcon-H1 Base model, Falcon H1R 7B takes a major leap forward in reasoning capabilities. Despite its modest 7 billion‑parameter size, Falcon H1R 7B matches or outperforms state‑of‑the‑art reasoning models that are 2–7× larger, proving its exceptional parameter efficiency and does so consistently across a wide range of reasoning‑intensive benchmarks. ...

Check out the Arabic version translated by Falcon-H1-Arabic The journey of building world-class Arabic language models has been one of continuous learning and iteration. Today, we’re excited to announce Falcon-H1-Arabic, our most advanced Arabic language model family to date, representing a significant leap forward in both architecture and capabilities. This release embodies months of research, community feedback, and technical innovation, culminating in three powerful models that set new standards for Arabic natural language processing. ...