Technology Innovation Institute
technology-innovation-institute-c3d4fb55·13 events·first seen 1mo agoAliases: Technology Innovation Institute
Co-occurring entities
More like this (12)
Recent events (13)
QIMMA: A Quality-First Arabic LLM Leaderboard
TII UAE (Technology Innovation Institute) has launched QIMMA, a leaderboard specifically designed to evaluate large language models on Arabic language tasks with a focus on quality-first assessment. The leaderboard aims to address gaps in Arabic NLP evaluation by providing standardized benchmarks tailored to Arabic linguistic characteristics. This represents a dedicated infrastructure effort for tracking Arabic LLM progress, a historically underserved language in evaluation frameworks.
Welcome to the Falcon 3 Family of Open Models
The Technology Innovation Institute (TII) has released the Falcon 3 family of open-weights models, announced via the Hugging Face blog. The release continues TII's Falcon lineage of open models and is positioned as a significant update to the series. Details on model sizes, capabilities, and training methodology are covered in the announcement.
Falcon 2: 11B Parameter Pretrained LLM and VLM Trained on 5T+ Tokens Across 11 Languages
Technology Innovation Institute (TII) has released Falcon 2, an 11B parameter language model pretrained on over 5 trillion tokens spanning 11 languages. The release includes both a base language model and a vision-language model (VLM) variant. This represents a significant update to the Falcon model family, expanding multilingual and multimodal capabilities.
Introducing Falcon-H1-Arabic: Pushing the Boundaries of Arabic Language AI with Hybrid Architecture
TII UAE (Technology Innovation Institute) has released Falcon-H1-Arabic, a new language model specifically optimized for Arabic language tasks using a hybrid architecture. The model builds on the Falcon-H1 lineage and targets improved Arabic NLP capabilities. This release represents a focused effort to advance Arabic-language AI beyond general multilingual models.
Falcon Mamba: First Strong Attention-Free 7B Model
Technology Innovation Institute (TII) releases Falcon Mamba, a 7B parameter state space model (SSM) based on the Mamba architecture, announced as the first attention-free model at this scale to match or exceed transformer-based models on standard benchmarks. The model is hosted on Hugging Face and represents a significant milestone for SSM-based architectures competing with transformers. This release advances the case for pure SSM models as viable alternatives to attention-based LLMs at the 7B scale.
Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance
TII UAE has released Falcon-H1, a new family of hybrid-head language models combining attention and state-space mechanisms to improve efficiency and performance. The models are published on Hugging Face and represent TII's latest iteration in the Falcon series. The hybrid architecture targets better inference economics and competitive benchmark results relative to model size.
Falcon-Edge: 1.58-bit Quantized Language Model Series from TII
Technology Innovation Institute (TII) has released Falcon-Edge, a series of language models operating at 1.58-bit precision, targeting edge deployment scenarios. The models are designed to be fine-tunable despite extreme quantization, positioning them as practical options for resource-constrained environments. This release extends the Falcon model family into the ultra-low-bit regime, following broader industry interest in BitNet-style ternary weight models.
Falcon 180B Released: New Open-Weights Frontier Model
Technology Innovation Institute (TII) has released Falcon 180B, a 180-billion parameter open-weights language model announced via Hugging Face. At the time of release, it was positioned as the largest publicly available open-weights model, trained on 3.5 trillion tokens. The model is available on Hugging Face Hub for research and commercial use under a custom license.
Falcon Perception: TII Announces Multimodal Perception Capabilities for Falcon
TII (Technology Innovation Institute) has published a blog post on Hugging Face introducing Falcon Perception, a multimodal extension of the Falcon model family. The post appears to detail perception capabilities added to the Falcon series, likely covering vision-language or other sensory modalities. As the body content is empty, specific technical details about architecture, benchmarks, or release scope are unavailable from this source.
Alyah: Benchmark for Evaluating Emirati Dialect Capabilities in Arabic LLMs
TII UAE introduces Alyah, a benchmark designed to evaluate large language models on Emirati Arabic dialect understanding and generation. The work addresses a gap in Arabic NLP evaluation, where most benchmarks focus on Modern Standard Arabic and neglect regional dialects. The benchmark aims to provide robust assessment of LLM capabilities specific to Emirati linguistic and cultural context.
NeurIPS 2025 E2LM Competition: Early Training Evaluation of Language Models
TII UAE and collaborators are announcing the Early Training Evaluation of Language Models (E2LM) competition at NeurIPS 2025. The competition focuses on predicting or evaluating language model capabilities from early training checkpoints, addressing the challenge of forecasting final model performance without completing full training runs. This is relevant to evaluation methodology and training efficiency research in the AI/ML community.
Falcon-Arabic: A Breakthrough in Arabic Language Models
TII UAE has released Falcon-Arabic, a language model specifically designed for Arabic. The announcement highlights it as a significant advancement in Arabic NLP capabilities. As a tier-2 source with minimal body content, specific technical details about model size, training data, or benchmark performance are not available from this item.
Falcon LLM Integrated into Hugging Face Ecosystem
Hugging Face announced the integration of the Falcon language models (Falcon-7B and Falcon-40B) into its ecosystem, including model hosting, inference APIs, and tooling support. Falcon, developed by the Technology Innovation Institute (TII), had recently topped the Open LLM Leaderboard at the time of release. The post covers usage patterns, fine-tuning guidance, and deployment options within the Hugging Face stack.