Best Ollama Models to Drive Claude Code Without Anthropic's API
Which Ollama models work as a local backend for Claude Code's CLI, what features degrade without Anthropic's API, and how to wire it up.
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Which Ollama models work as a local backend for Claude Code's CLI, what features degrade without Anthropic's API, and how to wire it up.
Self-hosted and hosted AI assistants that keep tax, medical, and financial data private, plus what to check in any privacy-first AI chat setup.
A plain-language walk through parallelism, matrix multiplication, VRAM, memory bandwidth, and why a CPU can run an LLM but rarely fast enough.
Microsoft's first laptop on Nvidia's RTX Spark has a price and ship date. Here is what fits in 128GB of unified memory - and what it costs you.
Practical tier guide to running a local LLM for cover letters, resumes, and CV drafts. Picks by RAM, instruction following, and what to keep offline.
Which open-weight model actually handles non-English work, what each provider claims about language coverage, and the tradeoffs between breadth and depth.
A $50 weekend-built backdoor in a fine-tuned Qwen model shows that any edited open-weight model, abliterated builds included, can carry one.
Which AI chats accept image uploads without training on your photos, what they retain, and the local fallback.
Open-weight vision-language models sized by VRAM: Qwen3-VL 2B to 235B-A22B, Mistral Small 3.2, Gemma 3, Pixtral, and where each tier breaks.
Practical tier guide to running a local LLM on Excel, CSV, and tabular data. Picks by RAM, JSON output for clean rows, and what to skip.
How to pick the hardware, OS, and runtime for a 24/7 local AI server, from a low-power mini PC to a used 3090 workstation, and what each costs to run.
Run an LLM against your novel without sending an unpublished manuscript to a vendor. Models, front ends, and what the tradeoffs are.
Open video models sized for real GPUs, with the text encoder counted in and the licence checked. Wan, Hunyuan, LTX-Video, CogVideoX, Mochi and Allegro compared.
v0.40.0-rc0 ships MLX-by-default on Apple Silicon, v0.35 adds decision models, transformers runs llama.cpp quants. What changed and how to upgrade.
Run an AI assistant against your inbox without sending mail to Google, Microsoft, or any third party. RAG setup and tradeoffs.
Ollama 0.35 adds Jev-style decision models locally the same day OpenAI previews its Decisions API for Luna. Same primitive, two stacks.
Install ComfyUI on a consumer GPU and run SD 1.5, SDXL, and FLUX locally. What fits your VRAM, where the models go, and what changed in 2026.
Which local LLM should you use to ask questions about a 500-page PDF without uploading it? A practical guide by context window and hardware tier.
What the 'A3B' and 'A22B' suffixes mean, when Mixture-of-Experts beats a dense model on your hardware, and how to read a model card to tell which is which.
Local LLMs ranked by maximum context length: 32K, 128K, 256K, and 1M+ tiers, with the model that fits each tier and the VRAM each one needs.
Cost-per-token comparison of Opus 5.5, Fable 5.1, GPT-6 Sol and Luna, and Grok 4.7 after the September 2026 price war, plus where local inference wins.
Which open-weight LLM should you actually run for everyday chat, writing, and summarizing? A tier-by-tier guide from 8 GB laptops to 32 GB desktops.
Four cloud GPU vendors compared for self-hosted LLM inference: real per-hour rates for RTX 4090, A100, and H100, plus where renting beats owning hardware.
Real tokens per second from local LLMs on consumer hardware: how quant and context change speed, why memory bandwidth is the limit, and what helps.