·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Startup Battlefield 200 applications officially close in 3 days1h◆Google will pay SpaceX $920M per month for compute2h◆The most interesting startups right now want to get you off your phone3h◆This is your laptop… on AI4h◆New York lawmakers pass one-year ban on new data centers5h◆The token bill comes due: Inside the industry scramble to manage AI’s runaway costs6h◆The latest AI news we announced in May 20266h◆The ‘together tech’ wave might be the most intriguing startup bet of 20267h◆This AI startup says it can tell if a script will make a hit film7h◆AirTrunk commits $30B to build 5GW of AI data centers in India8h◆The Meta hack shows there’s more to AI security than Mythos12h◆Mira Murati steps back into the spotlight, carefully16h◆SFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning17h◆Optical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning17h◆Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models17h◆Temporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents17h◆Why Muon Outperforms Adam: A Curvature Perspective17h◆Vision Hopfield Memory Networks17h◆Provably Auditable and Safe LLM Agents from Human-Authored Ontologies17h◆FlexRank: Nested Low-Rank Knowledge Decomposition for Adaptive Model Deployment17h◆Startup Battlefield 200 applications officially close in 3 days1h◆Google will pay SpaceX $920M per month for compute2h◆The most interesting startups right now want to get you off your phone3h◆This is your laptop… on AI4h◆New York lawmakers pass one-year ban on new data centers5h◆The token bill comes due: Inside the industry scramble to manage AI’s runaway costs6h◆The latest AI news we announced in May 20266h◆The ‘together tech’ wave might be the most intriguing startup bet of 20267h◆This AI startup says it can tell if a script will make a hit film7h◆AirTrunk commits $30B to build 5GW of AI data centers in India8h◆The Meta hack shows there’s more to AI security than Mythos12h◆Mira Murati steps back into the spotlight, carefully16h◆SFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning17h◆Optical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning17h◆Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models17h◆Temporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents17h◆Why Muon Outperforms Adam: A Curvature Perspective17h◆Vision Hopfield Memory Networks17h◆Provably Auditable and Safe LLM Agents from Human-Authored Ontologies17h◆FlexRank: Nested Low-Rank Knowledge Decomposition for Adaptive Model Deployment17h◆
DataBubble·

Model Detail

Jackrong logo

Qwopus3.6-27B-v2

▲ 4.9%
Provider: JackrongCategory: multimodalPipeline: image-text-to-textParameters: 27B
DB Score
22.5
Downloads
16K
Likes
33
Day
+4.9%
Week
+182.1%
Month
+0.0%
Overview

Qwopus3.6-27B-v2 is a multimodal model with 27B parameters released by Jackrong. The model is registered under the image-text-to-text pipeline tag on Hugging Face, distributed under the permissive apache-2.0 license.

Technical

Qwopus3.6-27B-v2 ships with 27B parameters. Total weight footprint is approximately 27.8 GB, which is the relevant figure when planning local-inference VRAM. The apache-2.0 license is permissive, allowing commercial deployment and derivative work without per-seat fees, though attribution requirements still apply.

Trending Signal

Downloads of Qwopus3.6-27B-v2 have moved +4.9% over the past 24 hours, +182.1% over the trailing seven days. That puts the model in active uptrend territory; a sustained move of this size usually reflects a recent release, a viral integration, or a benchmark surprise rather than steady-state demand. These numbers are signal, not guarantee — week-over-week download counts on Hugging Face also reflect mirror traffic, CI scrapes, and one-off benchmarking runs.

Read about databubble_score →
Use Cases

Qwopus3.6-27B-v2 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
Model Info
Licenseapache-2.0
Related Models
Jackrong logo
Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-GGUF
Jackrong · 633K downloads
Jackrong logo
Qwen3.5-9B-DeepSeek-V4-Flash-GGUF
Jackrong · 592K downloads
Qwen logo
Qwen3-VL-2B-Instruct
Qwen · 22.5M downloads
google logo
gemma-4-26B-A4B-it
Google · 11.8M downloads
HomeModelsNews