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Discover the best community collections!

Collections including paper arxiv:2405.02246

Foundation Models

OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1 • 78
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Paper • 2403.05530 • Published Mar 8 • 59
StarCoder: may the source be with you!

Paper • 2305.06161 • Published May 9, 2023 • 29
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Paper • 2312.15166 • Published Dec 23, 2023 • 56

Vision Language Models

BLINK: Multimodal Large Language Models Can See but Not Perceive

Paper • 2404.12390 • Published Apr 18 • 24
TextSquare: Scaling up Text-Centric Visual Instruction Tuning

Paper • 2404.12803 • Published Apr 19 • 29
Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models

Paper • 2404.13013 • Published Apr 19 • 29
InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD

Paper • 2404.06512 • Published Apr 9 • 29

Idefics2-8B is a foundation vision-language model. In this collection, you will find the models, datasets and demo related to its creation.

Running on Zero

165

🐨

IDEFICS2 Playground
HuggingFaceM4/idefics2-8b

Image-Text-to-Text • Updated Jul 30 • 75.8k • 567
HuggingFaceM4/idefics2-8b-chatty

Image-Text-to-Text • Updated Jul 30 • 6.44k • 91
HuggingFaceM4/idefics2-8b-base

Image-Text-to-Text • Updated Jul 30 • 4.88k • 27

Vision-Language Model

Visual Instruction Tuning

Paper • 2304.08485 • Published Apr 17, 2023 • 12
Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities

Paper • 2308.12966 • Published Aug 24, 2023 • 6
Improved Baselines with Visual Instruction Tuning

Paper • 2310.03744 • Published Oct 5, 2023 • 36
SILC: Improving Vision Language Pretraining with Self-Distillation

Paper • 2310.13355 • Published Oct 20, 2023 • 6

To read... eventually

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training

Paper • 2403.09611 • Published Mar 14 • 123
Evolutionary Optimization of Model Merging Recipes

Paper • 2403.13187 • Published Mar 19 • 49
MobileVLM V2: Faster and Stronger Baseline for Vision Language Model

Paper • 2402.03766 • Published Feb 6 • 12
LLM Agent Operating System

Paper • 2403.16971 • Published Mar 25 • 64

How Far Are We from Intelligent Visual Deductive Reasoning?

Paper • 2403.04732 • Published Mar 7 • 18
MoAI: Mixture of All Intelligence for Large Language and Vision Models

Paper • 2403.07508 • Published Mar 12 • 75
DragAnything: Motion Control for Anything using Entity Representation

Paper • 2403.07420 • Published Mar 12 • 12
Learning and Leveraging World Models in Visual Representation Learning

Paper • 2403.00504 • Published Mar 1 • 29

ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment

Paper • 2403.05135 • Published Mar 8 • 42
What matters when building vision-language models?

Paper • 2405.02246 • Published May 3 • 98

InstructDoc: A Dataset for Zero-Shot Generalization of Visual Document Understanding with Instructions

Paper • 2401.13313 • Published Jan 24 • 5
BAAI/Bunny-v1_0-4B

Text Generation • Updated Jun 24 • 248 • 8
What matters when building vision-language models?

Paper • 2405.02246 • Published May 3 • 98
Jina CLIP: Your CLIP Model Is Also Your Text Retriever

Paper • 2405.20204 • Published May 30 • 29

Favorite AI Publication/s

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27 • 590
KAN: Kolmogorov-Arnold Networks

Paper • 2404.19756 • Published Apr 30 • 108
What matters when building vision-language models?

Paper • 2405.02246 • Published May 3 • 98

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6 • 25
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6 • 12
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7 • 36
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7 • 19

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