VisionWeave: elastic visual representations as a native capability of multimodal models
ResearchRelated articles
Where local models learn: open weights explained without the fluff
The model doesn't hook into the internet for its abilities: it absorbed them once at pre-training and executes them on your hardware. Open weights isn't open data, and the models come from many labs, not one.
Running LLM Models Locally: From First Install to First Working Model
From zero to a first answering model: what you actually need, Ollama step by step, how to pick a model for your memory, expected speeds per hardware, and the typical problems fixed.
Decision models in local: JEV-35B and the 3B-active System 1
You don't need a big LLM to decide. JEV-35B (35B, 3B active) in NVFP4 on a 32GB GPU and ej (11.4MB) on CPU show how to do routing, classification and quality control without generating a single token.
Get the next local-AI briefing
Once a week, the top selection from iaLocale: articles, news and resources on local AI, and more.
After signing up you receive a confirmation email (double opt-in). Without confirmation we send nothing. No spam, we promise.

