📚 3LM: A Benchmark for Arabic LLMs in STEM and Code
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AI & ML interests
Large language models
Recent Activity
Articles
Falcon-H1 Family of Hybrid-Head Language Models (Transformer-SSM), including 0.5B, 1.5B, 1.5B-Deep, 3B, 7B, and 34B (pretrained & instruction-tuned).
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Falcon H1 Playground
🦅30Generate text responses through chat with Falcon-H1 models
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Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance
Paper • 2507.22448 • Published • 67 -
tiiuae/Falcon-H1-0.5B-Base
Text Generation • 0.5B • Updated • 23.6k • 16 -
tiiuae/Falcon-H1-0.5B-Instruct
Text Generation • 0.5B • Updated • 1.22k • 28
A series of powerful, universal and fine-tunable small Language Models
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Falcon E Playground
💻8Chat with an advanced language model to get answers and engage in conversation
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tiiuae/Falcon-E-3B-Base
Text Generation • 0.9B • Updated • 339 • 12 -
tiiuae/Falcon-E-3B-Instruct
Text Generation • 0.9B • Updated • 1.44k • 34 -
tiiuae/Falcon-E-3B-Instruct-GGUF
3B • Updated • 45 • 14
Falcon3 family of Open Foundation Models is a set of pretrained and instruct LLMs ranging from 1B to 10B parameters.
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The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only
Paper • 2306.01116 • Published • 41 -
tiiuae/falcon-refinedweb
Viewer • Updated • 968M • 47k • 879 -
tiiuae/falcon-rw-1b
Text Generation • Updated • 6.45k • 117 -
tiiuae/falcon-rw-7b
Text Generation • 8B • Updated • 316 • 17
7B models built on top of Falcon3-7B
Arabic benchmark datasets https://arxiv.org/pdf/2507.15850
This collection features the FalconMamba 7B base model, the instruction-tuned version, their 4-bit and GGUF variants, and the demo.
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Falcon Mamba Playground
🐍65Generate chat responses using FalconMamba-7b model
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Falcon Mamba: The First Competitive Attention-free 7B Language Model
Paper • 2410.05355 • Published • 35 -
tiiuae/falcon-mamba-7b
Text Generation • 7B • Updated • 3.69k • 240 -
tiiuae/falcon-mamba-7b-instruct
Text Generation • 7B • Updated • 7.52k • 69
Leveraging Contextual Web Data for Fine-tuning Vision Language Models (https://arxiv.org/abs/2502.10250)
Falcon-H1 Family of Hybrid-Head Language Models (Transformer-SSM), including 0.5B, 1.5B, 1.5B-Deep, 3B, 7B, and 34B (pretrained & instruction-tuned).
-
Falcon H1 Playground
🦅30Generate text responses through chat with Falcon-H1 models
-
Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance
Paper • 2507.22448 • Published • 67 -
tiiuae/Falcon-H1-0.5B-Base
Text Generation • 0.5B • Updated • 23.6k • 16 -
tiiuae/Falcon-H1-0.5B-Instruct
Text Generation • 0.5B • Updated • 1.22k • 28
7B models built on top of Falcon3-7B
A series of powerful, universal and fine-tunable small Language Models
-
Falcon E Playground
💻8Chat with an advanced language model to get answers and engage in conversation
-
tiiuae/Falcon-E-3B-Base
Text Generation • 0.9B • Updated • 339 • 12 -
tiiuae/Falcon-E-3B-Instruct
Text Generation • 0.9B • Updated • 1.44k • 34 -
tiiuae/Falcon-E-3B-Instruct-GGUF
3B • Updated • 45 • 14
Arabic benchmark datasets https://arxiv.org/pdf/2507.15850
Falcon3 family of Open Foundation Models is a set of pretrained and instruct LLMs ranging from 1B to 10B parameters.
This collection features the FalconMamba 7B base model, the instruction-tuned version, their 4-bit and GGUF variants, and the demo.
-
Falcon Mamba Playground
🐍65Generate chat responses using FalconMamba-7b model
-
Falcon Mamba: The First Competitive Attention-free 7B Language Model
Paper • 2410.05355 • Published • 35 -
tiiuae/falcon-mamba-7b
Text Generation • 7B • Updated • 3.69k • 240 -
tiiuae/falcon-mamba-7b-instruct
Text Generation • 7B • Updated • 7.52k • 69
-
The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only
Paper • 2306.01116 • Published • 41 -
tiiuae/falcon-refinedweb
Viewer • Updated • 968M • 47k • 879 -
tiiuae/falcon-rw-1b
Text Generation • Updated • 6.45k • 117 -
tiiuae/falcon-rw-7b
Text Generation • 8B • Updated • 316 • 17
Leveraging Contextual Web Data for Fine-tuning Vision Language Models (https://arxiv.org/abs/2502.10250)