Best Local LLM for Proofreading and Editing Your Writing
Run a proofreading LLM on your laptop so drafts, manuscripts, and sensitive documents never leave your machine. Models, front ends, and what each tier gets you.
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Best Local LLM for Cover Letters and Resumes
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.
Best Local LLM for Spreadsheet Analysis on a Laptop
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.
Best Local LLM for Long-Document Q&A: How to Chat with a Book
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.
Best Local LLM for Everyday Tasks (Chat, Writing, Summarizing)
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.
What Thinking Mode Actually Costs You (September 2026)
Reasoning tokens, latency, and KV cache cost of thinking mode in local LLMs. How to toggle it per runner and when it is the wrong choice.
How much context can a local LLM actually hold? (September 2026)
The advertised context window is one number. What your GPU can actually serve is smaller. The KV cache math, RoPE scaling, and the practical ceiling.
Run an LLM Locally on a Raspberry Pi (October 2026)
Raspberry Pi 4 and Pi 5 can run small open-weight models on CPU alone. What fits on 2 GB, 4 GB, 8 GB, or 16 GB of RAM, and what speed is realistic.
How much VRAM does a local LLM actually need? (September 2026)
The published GGUF file size is the weights. VRAM use also includes the KV cache, framework overhead, and your context length. The math, walked through.
Small Models, Big Brain: When 4 Billion Parameters Match GPT-4
Modern sub-10B models now rival last year's frontier AI on reasoning, tool use, and code. The benchmarks prove it.