newsReddit r/LocalLLaMATrust 52 · CommunityPublished 10d agoLive · 10d ago
Don't sleep on Vision support for coding!
Normally, whenever a new model dropped, I always chose the non-vision version just to save VRAM; I though that only use case was when you were the one sending the picture. However, with the release of QWEN 3.8 27B I decided to give it a shot, and it has been one of the best decisions I have made, as this makes the model way more capable for autonomous coding. With no vision, the model will try to complete the task and get back to you once it thin
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 50%kyegomez/VisionMamba →
- PossiblePossibly related (embedding) · 48%Efficient PEFT Methods with Adaptive Checkpointing for Vision Models and VLMs on Resource Constrained Consumer-GPUs →
- PossiblePossibly related (embedding) · 48%roboflow/notebooks →
- PossiblePossibly related (embedding) · 47%DreamHand: Repurposing Video Diffusion Models for Occlusion-Robust Egocentric 3D Hand Motion Recovery →
- PossiblePossibly related (embedding) · 47%itsmeadarsh2008/opencode-senses →
Covers
repokyegomez/VisionMambapaperEfficient PEFT Methods with Adaptive Checkpointing for Vision Models and VLMs on Resource Constrained Consumer-GPUsreporoboflow/notebookspaperDreamHand: Repurposing Video Diffusion Models for Occlusion-Robust Egocentric 3D Hand Motion Recoveryrepoitsmeadarsh2008/opencode-senses
Related across the graph
paperEfficient PEFT Methods with Adaptive Checkpointing for Vision Models and VLMs on Resource Constrained Consumer-GPUsreporoboflow/notebooksrepoitsmeadarsh2008/opencode-sensesrepokyegomez/VisionMambapaperDreamHand: Repurposing Video Diffusion Models for Occlusion-Robust Egocentric 3D Hand Motion Recovery