Local AI Out of Memory: How to Fix It (November 2026)
A local model that will not load is usually memory arithmetic. Decode the error strings, then cut context, KV cache, parallel requests and layers in order.
Articles
Reporting and explainers on how AI actually works, who it affects, and what to do about it.
A local model that will not load is usually memory arithmetic. Decode the error strings, then cut context, KV cache, parallel requests and layers in order.
A sandbox escape chained ChatGPT's Preview, MathLive and YouTube's oEmbed endpoint into code that ran as the reader. OpenAI fixed it on Oct 26.
Where local AI models live on disk, what each model costs at every quantization, why the same weights get stored three times over, and how to reclaim the space.
Run Ollama in a container on a Synology or QNAP NAS: model storage, memory limits, context sizing, and reaching it from your laptop and phone.
Content Credentials (C2PA) let you check whether an image was made or edited by AI. How to read them, and why a missing credential proves nothing.
Mistral released the 1T open-weight Le Chonk. The official serving recipe assumes 8 GPUs and the smallest GGUF is 233 GB, so the API is the realistic route.
How to install Ollama on Linux and Windows, run a first model, confirm the GPU is being used, and fix the setup errors that stop a first run.
robots.txt asks, it does not enforce. How to block GPTBot, ClaudeBot and other AI crawlers at the network layer, and how to check the block works.
Home Assistant can run a voice assistant with nothing leaving the house: Whisper or Speech-to-Phrase for speech, Piper for replies, a local LLM for the brain.
Turnitin, GPTZero and Originality.ai publish different accuracy figures. What each measures, what happens to your text, and what to do about false flags.
1Password brokers agent logins so the agent never holds the password. NVIDIA's OpenShell does the same for self-hosted agents. Where both still fall short.
Run a private Discord or Telegram chatbot on a local model: wiring, token handling, the intents it needs, rate limits, and a systemd unit.
How llama.cpp, vLLM and LM Studio decide whether to reuse your prompt's KV cache, what each reports about tokens saved, and where the reuse stops.
Containerize Ollama without losing GPU acceleration: the NVIDIA toolkit setup, the AMD device flags, the volume that keeps your models, and how to check.
Open source REA passed 342,000 GitHub stars. What decompiling any app with AI means for the products and devices you use every day.
Which open-weight models hold up behind Claude Code, how Ollama's Anthropic-compatible endpoint connects them, and what each Ollama tag costs to run.
Temperature, top-k, top-p and seed decide how random your local model is. What they do in Ollama, llama.cpp and vLLM, and how to get repeatable answers.
What Microsoft, Anthropic, and Google actually let an employer see, log, and retain from your AI use, and what stays private on your own account.
What multimodal AI services actually do with your chats, voice clones, and generated videos, and how to opt out or delete your data.
Muse Spark Open, Reflection Beam, and Granite Switch 4.1 all landed on Hugging Face within two days. What fits on one GPU, a Mac, or a cluster.
Anthropic published internal numbers showing its junior technical hires fell from 27% to 9% since early 2025, with meeting time up 20%.
Which open-weight models stay in character across long roleplays, what frontend to drive them with, and what the privacy picture looks like for intimate chats.
Six self-hosted vector databases for RAG compared: Qdrant, Milvus, Chroma, Weaviate, pgvector, LanceDB. Licence, indexing, the catch.
Which open-weight models actually solve math on your hardware, from quick arithmetic to AIME-level problems, ranked by VRAM tier and use case.