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Local models

Running models on your own hardware: Ollama, llama.cpp, open weights and on-device AI

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  1. We Taught AI to Answer Questions. Who Taught It to Change Its Mind?
  2. Open-Weight vs Closed-Weight Models: What's the Difference?
  3. Sovereign Decisions: Open-weight Jev Alternatives in Solace Agent Mesh
  4. A compact conversational language model that chats in plain English and writes Python
  5. Open-weight model GLM 5.3 built full Firefox exploit chains with zero human input in under 48 hours
  6. Why Self-Hosted GLM-5.3 Needs 8 GPUs, Not 4, for Long Coding Sessions
  7. NVIDIA Nemotron 3.5 Transcribe: A Complete Guide to the Speech AI Model
  8. Edge0 Releases Audio8-TTS-Realistic, a 0.6B Voice Cloning TTS Model
  9. How to Run Sage A1.5 Locally with llama.cpp
  10. From Prompt to Edge AI — Hackathon Participants Create Mobile Apps in Less Than An Hour
  11. I Studied a 16 GB GPU Test, and It Changed How I See Local AI
  12. Raspberry Pi 5 AI Module Case with Camera Mount – AI HAT All-in-One Setup #3DThursday #3DPrinting
  13. ASRock Industrial AI Box-A395 Review: Taking Strix Halo to Work
  14. How Edge AI Is Rewriting Embedded System Architectures
  15. Mistral’s Large 4 open weights arrive with a 1-point coding lead over GLM-5.3: “There’s nothing you can’t do with this model that you can do with competitors.”
  16. LFM3–1.7B : Best Small LLM is here
  17. Nemotron 3.5 Transcribe: What It Is, How Accurate It Is, and How to Run It
  18. 5 Docker Containers You Need for a Home AI Lab
  19. NVIDIA Releases Nemotron 3.5 Transcribe: An Open 30B MoE Model for 40-Language Transcription with ~4B Active Parameters
  20. Xerxes Home Lab adds Jetson support, NVMe, and PoE
  21. LUMEN: An AI Neonatal Specialist That Works When the Network Doesn't
  22. How to Run Clover-35B-A3B-Preview Locally with SGLang
  23. Self-Hosted AI on a Raspberry Pi: A Complete 2026 Deployment Guide
  24. Mistral releases open weights for Large 4, MaaS use needs a license

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