Iheb Chaabane

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upvoted a paper 3 months ago

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance

Paper • 2507.22448 • Published Jul 30 • 65

upvoted an article 5 months ago

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Article

Falcon-Edge: A series of powerful, universal, fine-tunable 1.58bit language models.

By and 9 others •

May 15

• 36

upvoted an article 8 months ago

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Article

Welcome Gemma 3: Google's all new multimodal, multilingual, long context open LLM

Mar 12

• 467

upvoted a collection 10 months ago

YuLan-Mini

Collection

A highly capable 2.4B lightweight LLM using only 1T pre-training data with all details. • 6 items • Updated Apr 14 • 16

upvoted a collection 11 months ago

Falcon3

Collection

Falcon3 family of Open Foundation Models is a set of pretrained and instruct LLMs ranging from 1B to 10B parameters. • 40 items • Updated Jul 23 • 86

upvoted an article about 1 year ago

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Article

Welcome FalconMamba: The first strong attention-free 7B model

Aug 12, 2024

• 113

upvoted a collection about 1 year ago

FalconMamba 7B

Collection

This collection features the FalconMamba 7B base model, the instruction-tuned version, their 4-bit and GGUF variants, and the demo. • 15 items • Updated Sep 3 • 34

upvoted a paper over 1 year ago

What matters when building vision-language models?

Paper • 2405.02246 • Published May 3, 2024 • 103