Models
Datasets
Spaces
Posts
Docs
Pricing
Log In
Sign Up

Collections

Discover the best community collections!

Collections including paper arxiv:2405.02246

Rho-1: Not All Tokens Are What You Need

Paper • 2404.07965 • Published Apr 11 • 84
VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time

Paper • 2404.10667 • Published Apr 16 • 15
Instruction-tuned Language Models are Better Knowledge Learners

Paper • 2402.12847 • Published Feb 20 • 24
DoRA: Weight-Decomposed Low-Rank Adaptation

Paper • 2402.09353 • Published Feb 14 • 26

Foundation Models

OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1 • 79
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 • 30
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

166

🐨

IDEFICS2 Playground
HuggingFaceM4/idefics2-8b

Image-Text-to-Text • Updated 21 days ago • 31.7k • 579
HuggingFaceM4/idefics2-8b-chatty

Image-Text-to-Text • Updated Jul 30 • 1.6k • 92
HuggingFaceM4/idefics2-8b-base

Image-Text-to-Text • Updated Jul 30 • 2.83k • 27

Vision-Language Model

Visual Instruction Tuning

Paper • 2304.08485 • Published Apr 17, 2023 • 13
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 • 37
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 • 124
Evolutionary Optimization of Model Merging Recipes

Paper • 2403.13187 • Published Mar 19 • 50
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 • 65

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 • 13
Learning and Leveraging World Models in Visual Representation Learning

Paper • 2403.00504 • Published Mar 1 • 31

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 • 81 • 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 • 32

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 • 602
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

Previous
1
2
3
Next

Company

© Hugging Face

TOS Privacy About Jobs

Website

Models Datasets Spaces Pricing Docs