Running open-weight models yourself: on laptops, phones, home servers and GPUs. Setup guides, hardware and VRAM requirements, quantization, Ollama, llama.cpp and vLLM.
Buying a Mac mini to run AI agents all day? Here is how to size RAM and storage, what local models change, and why a bigger machine won't fix agent bloat.
Run Ornith-1.5-122B locally: llama.cpp GGUF setup, VRAM and context trade-offs, runtime versions to check, and how to handle thinking-mode output.
Serve Tencent's Hy-Memory-30B-A3B with vLLM as hy-memory, call it via the OpenAI-compatible API, and use it as the write path in Mem0 or MemOS.
Run Spark-X2.6-4B, an Apache 2.0 4B on-device agent model with 1M-token context, via Ollama, llama.cpp, LM Studio, MLX, vLLM or SGLang.
Run NVIDIA Dory1.0-4B locally with vLLM or llama.cpp on Apple Silicon, choose 1, 2 or 4 loops, and cut KV cache memory with last-loop caching.
DeepSeek-V4.1-Flash-1017 ships MIT-licensed with no Jinja template. See sampling settings, 1M context, the encoding folder and deepseek-recipe.
Enable developer mode on an LG or Android TV, find its IP, and point Hermes agent at a local Qwen model in Ollama to manage settings with an undo list.
Learn how to run local AI models with Ollama or LM Studio on a laptop, GPU, or phone, plus local image and music generation and API cost break-even.
Learn how to run CUDA apps on AMD GPUs with ZLUDA on Windows: setup steps, supported GPUs, legal risk under NVIDIA's EULA, and what still breaks.
Build a local AI coding agent on an M4 Mac Mini with Ollama's MLX backend, Qwen3-Coder-Next, Serena MCP tools, and a Panel chat UI. No token billing.
Learn how to run Claude Code, Codex, or Cline locally with Magnitude in three steps, plus DeepSeek vs OpenAI cost math and the tool's alpha limits.
Learn how to pick, quantize, and run distilled models like DeepSeek-R1 locally with Ollama or llama.cpp, and when self-hosting beats API costs.
Compare Ollama, LM Studio, llama.cpp, Open WebUI, AnythingLLM, and vLLM across runtime, interface, and server layers, plus VRAM needs and cost.
Compare Llama, Qwen, Mistral, DeepSeek, gpt-oss, and small models by license, hardware needs, and self-hosting break-even to pick one for internal tools.
Build a local AI second brain with markdown notes, Ollama, a local vector store for RAG, and automation. Covers hardware needs, tradeoffs, and maintenance.
Learn how to run 671B MoE models like DeepSeek R1 locally with llama.cpp, KTransformers and Unsloth quants, with hardware tiers and tokens per second.
Learn how to run a local LLM for business: hardware tiers, 7B-30B model picks, Ollama and vLLM setup, and when owning GPUs beats paying API bills.
Learn what an LLM proxy is and how to set one up with LiteLLM to log prompts, tool calls, and spend from local AI agents like Ollama, Cline, and Continue.
DHS banned DeepSeek from 100+ federal agencies. See what running AI models locally costs, from a $6,000 CPU build to H100 clusters, and when it beats APIs.
Court orders, training opt-outs, and leaks at OpenAI, Anthropic, and xAI show renting AI exposes your data. Here's the case for running open weights yourself.
Enterprises spend $12.5B a year renting frontier AI APIs. Here's the distillation pipeline that turns that spend into owned models, 75-98% cheaper to run.
Step-by-step KVM/VFIO GPU passthrough guide: IOMMU, VFIO binding, libvirt/Proxmox config, and model serving for near-native local AI coding agents.
GLM-5.3-Flash and 512GB unified-memory hardware make local AI practical in 2026. Here's the setup, the real cost math, and when renting still wins.
Open-weight models now rival GPT-4o and o1. Here's how to run an AI agent locally: hardware, quantization, MCP tool access, and the real cost math.