·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Startup Battlefield 200 applications officially close in 3 days2h◆Google will pay SpaceX $920M per month for compute3h◆The most interesting startups right now want to get you off your phone4h◆This is your laptop… on AI5h◆New York lawmakers pass one-year ban on new data centers6h◆The token bill comes due: Inside the industry scramble to manage AI’s runaway costs7h◆The latest AI news we announced in May 20267h◆The ‘together tech’ wave might be the most intriguing startup bet of 20268h◆This AI startup says it can tell if a script will make a hit film8h◆AirTrunk commits $30B to build 5GW of AI data centers in India9h◆The Meta hack shows there’s more to AI security than Mythos13h◆Mira Murati steps back into the spotlight, carefully17h◆SFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning18h◆Optical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning18h◆Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models18h◆Temporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents18h◆Why Muon Outperforms Adam: A Curvature Perspective18h◆Vision Hopfield Memory Networks18h◆Provably Auditable and Safe LLM Agents from Human-Authored Ontologies18h◆FlexRank: Nested Low-Rank Knowledge Decomposition for Adaptive Model Deployment18h◆Startup Battlefield 200 applications officially close in 3 days2h◆Google will pay SpaceX $920M per month for compute3h◆The most interesting startups right now want to get you off your phone4h◆This is your laptop… on AI5h◆New York lawmakers pass one-year ban on new data centers6h◆The token bill comes due: Inside the industry scramble to manage AI’s runaway costs7h◆The latest AI news we announced in May 20267h◆The ‘together tech’ wave might be the most intriguing startup bet of 20268h◆This AI startup says it can tell if a script will make a hit film8h◆AirTrunk commits $30B to build 5GW of AI data centers in India9h◆The Meta hack shows there’s more to AI security than Mythos13h◆Mira Murati steps back into the spotlight, carefully17h◆SFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning18h◆Optical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning18h◆Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models18h◆Temporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents18h◆Why Muon Outperforms Adam: A Curvature Perspective18h◆Vision Hopfield Memory Networks18h◆Provably Auditable and Safe LLM Agents from Human-Authored Ontologies18h◆FlexRank: Nested Low-Rank Knowledge Decomposition for Adaptive Model Deployment18h◆
DataBubble·

Model Detail

LGAI-EXAONE logo

EXAONE-4.5-33B-FP8

—
Provider: LGAI-EXAONECategory: multimodalPipeline: image-text-to-textParameters: 33B
DB Score
0.6
Downloads
22K
Likes
22
Day
+0.0%
Week
+0.0%
Month
+0.0%
Overview

EXAONE-4.5-33B-FP8 is a multimodal model with 33B parameters released by LGAI-EXAONE. The model is registered under the image-text-to-text pipeline tag on Hugging Face, distributed under a other license.

Technical

EXAONE-4.5-33B-FP8 ships with 33B parameters. Total weight footprint is approximately 34.4 GB, which is the relevant figure when planning local-inference VRAM. Distribution is governed by the other license — review the exact terms before commercial deployment.

Use Cases

EXAONE-4.5-33B-FP8 is best fit for mixed text-and-image reasoning tasks such as document understanding. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.

Download History
Research Paper
arXiv: 2604.08644→
Model Info
Licenseother
Citations0 (0 influential)
Recent newsView all news →
Related News
arxiv53d ago

EXAONE 4.5 Technical Report

arXiv:2604.08644v1 Announce Type: new Abstract: This technical report introduces EXAONE 4.5, the first open-weight vision language model released by LG AI Research. EXAONE 4.5 is architected by integrating a dedicated visual encoder into the existing EXAONE 4.0 framework, enabling native multimodal

Related Models
LGAI-EXAONE logo
EXAONE-4.5-33B
LGAI-EXAONE · 14K downloads
LGAI-EXAONE logo
EXAONE-4.5-33B-GGUF
LGAI-EXAONE · 7K downloads
Qwen logo
Qwen3-VL-2B-Instruct
Qwen · 22.5M downloads
google logo
gemma-4-26B-A4B-it
Google · 11.9M downloads
HomeModelsNews