·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
People are using AI to make their smart TVs dumb again1h◆Nvidia launches new open models to run agents in the enterprise and on PCs1h◆JB Pritzker thinks AI could help us live to 100 — or threaten us like nukes3h◆A hacker broke into John Deere and SharkNinja with an army of AI agents3h◆Democrats think cracking down on AI could give them an edge5h◆AI researchers stranded Claude on a virtual desert island. It started to “play.”8h◆A Theoretical Analysis of Test-Driven Code Generation13h◆Scalable Adaptation of 3D Geometric Foundation Models via Weak Supervision from Internet Video13h◆Can Graph Learning Learn Circuits?13h◆Beyond Fixed Acquisition Functions: Temporal Difference Active Learning for Perturbation Discovery13h◆Trajectory-Guided Steering: Mitigating Spurious Feature Bias in Clinical Classification13h◆Sentence-Level Topic Modeling with Lexical and Contextual Evidence13h◆Referring Multi-Object Tracking with Diverse Dynamic Expressions13h◆Rarity of Singletons Matters & Supplementary Materials13h◆TANGO: RNA Topology and Geometry Co-Design13h◆Handwritten Text Recognition Lives in the High-Pixel Variance Subspace13h◆RealtimeWAM: One-Step Asynchronous World Action Models13h◆How Well Do Prior-Data Fitted Networks Amortize Bayesian Inference?13h◆R$^2$ Flow: Recursive Self-Improvement via Recursive Skill Evolution13h◆Logic-Guided Graph Denoising Diffusion Models13h◆People are using AI to make their smart TVs dumb again1h◆Nvidia launches new open models to run agents in the enterprise and on PCs1h◆JB Pritzker thinks AI could help us live to 100 — or threaten us like nukes3h◆A hacker broke into John Deere and SharkNinja with an army of AI agents3h◆Democrats think cracking down on AI could give them an edge5h◆AI researchers stranded Claude on a virtual desert island. It started to “play.”8h◆A Theoretical Analysis of Test-Driven Code Generation13h◆Scalable Adaptation of 3D Geometric Foundation Models via Weak Supervision from Internet Video13h◆Can Graph Learning Learn Circuits?13h◆Beyond Fixed Acquisition Functions: Temporal Difference Active Learning for Perturbation Discovery13h◆Trajectory-Guided Steering: Mitigating Spurious Feature Bias in Clinical Classification13h◆Sentence-Level Topic Modeling with Lexical and Contextual Evidence13h◆Referring Multi-Object Tracking with Diverse Dynamic Expressions13h◆Rarity of Singletons Matters & Supplementary Materials13h◆TANGO: RNA Topology and Geometry Co-Design13h◆Handwritten Text Recognition Lives in the High-Pixel Variance Subspace13h◆RealtimeWAM: One-Step Asynchronous World Action Models13h◆How Well Do Prior-Data Fitted Networks Amortize Bayesian Inference?13h◆R$^2$ Flow: Recursive Self-Improvement via Recursive Skill Evolution13h◆Logic-Guided Graph Denoising Diffusion Models13h◆
News/SmolVLM Grows Smaller – Introducing the 256M & 500M Models!
huggingface
PublishedJanuary 23, 2025 at 12:00 AM

SmolVLM Grows Smaller – Introducing the 256M & 500M Models!

Source
huggingface.cofull article ↗
Read on huggingface→
Stay posted· Newsletter

Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.

// no spam · unsubscribe one-click · free forever

Your email is used only to send The Bubble Brief. Privacy policy

Discussion
Source
↗
huggingface
Read original ↗All from huggingface →

No replies yet. Be first.

Source
↗
huggingface
Read original ↗All from huggingface →
The Bubble Brief
MON · WED · FRI

Read AI insights every Monday, Wednesday and Friday — top movers, new models, story of the week.

// no spam · unsubscribe one-click · free forever

Your email is used only to send The Bubble Brief. Privacy policy

Originally published on huggingface ↗
PrivacyTermsRefundsLegal notice|AboutMethodologyContact

© 2026 Databubble

Built by Marouane Gazouzi · Readyo, AI interview coach

HomeModelsNews