Use-Cases
Obsidian + Local LLM: Build Your Private AI Second Brain
Three ways to connect Obsidian to a local LLM — Smart Connections, Open WebUI RAG, and AnythingLLM. Your notes never leave your machine.
Local AI for Lawyers: Confidential Document Analysis Without Cloud Risk
A federal judge ordered OpenAI to hand over 20 million chat logs. If you're a lawyer using ChatGPT for client work, that's an ethics problem. Local AI keeps everything on your hardware.
AI Tool Sprawl: You're Running 6 AI Tools and None of Them Talk to Each Other
Ollama for local chat, LM Studio for testing, ChatGPT for the hard stuff, Claude for writing, Copilot in your editor, Open WebUI as a frontend. Six tools, zero integration. Here's how to consolidate without losing capability.
Obsidian + Local LLM: Build a Private AI Second Brain
Connect Obsidian to a local LLM via Ollama for private AI-powered note search, summaries, and chat. Step-by-step setup with Copilot and Smart Connections.
Crane + Qwen3-TTS: Run Voice Cloning Locally with Rust
Clone any voice with 3 seconds of audio using Qwen3-TTS through Crane's pure Rust inference engine. ~4GB VRAM, faster than real-time, Apache 2.0.
PaddleOCR-VL: A 0.9B OCR Model That Runs on Any Potato
PaddleOCR-VL does document OCR — text, tables, formulas, charts — in 0.9B parameters. 109 languages. Now runs via llama.cpp and Ollama. Private, local, nearly free.
10 Things You Can Do With Local AI That Cloud Can't Touch
Local AI handles sensitive data, works offline, costs nothing per query, and never gets deprecated. Ten real use cases where running models on your own hardware beats any cloud API.
SDXL vs SD 1.5 vs Flux: Which Image Model Should You Run Locally?
SDXL vs SD 1.5 vs Flux compared by VRAM, speed, and quality. SD 1.5 needs 4GB, SDXL needs 8GB, Flux needs 12GB+. Benchmarks on real GPUs inside.
LoRA Training on Consumer Hardware: Fine-Tune Models With 12GB VRAM
QLoRA fine-tunes a 7B model on an RTX 3060 12GB in 2-4 hours. Full Unsloth and Axolotl recipes, VRAM tables, and the GGUF export pipeline.
Building a Local AI Assistant: Your Private Jarvis
Build a private AI assistant with Ollama, Open WebUI, Whisper, and Kokoro TTS. Voice chat, document Q&A, home automation — all local, no cloud, no subscriptions.
Local AI for Privacy: What's Actually Private
Running AI locally keeps prompts off corporate servers — but model downloads, telemetry, and VS Code extensions can still leak data. Here's what's genuinely private, what isn't, and how to close every gap.
Best Uncensored Local LLMs (And Why You Might Want Them)
Dolphin 3.0, abliterated Llama 3.3, uncensored Qwen — the best unrestricted local models for fiction, research, and creative work. What uncensored actually means, which models to run, and the quality tradeoffs.
Best Local LLMs for Summarization
Qwen 2.5 14B is the summarization sweet spot — strong instruction following, 128K context for 200-page docs, fits on 16GB VRAM. Model picks by use case, quality ratings, chunking strategies, and prompting tips.
Running AI Offline: Complete Guide to Air-Gapped Local LLMs
Ollama works fully offline after one download. Pull models, disconnect the network, and your AI keeps running — no accounts, no APIs, no internet. Setup steps, offline RAG, and portable laptop kits.
Embedding Models for RAG: Which to Run Locally
nomic-embed-text is still the default for most local RAG setups — 274MB, 8K context, runs on CPU. But Qwen3-Embedding 0.6B just changed the game. Model picks, VRAM needs, speed numbers, and the chunking mistakes that break retrieval.
Best Local LLMs for Translation: What Actually Works
NLLB handles 200 languages on 3GB VRAM. Qwen 2.5 matches DeepL for European pairs. Opus-MT runs at 300MB per direction. Which local translation model fits your hardware and language needs.
Best Local LLMs for Data Analysis
Qwen 2.5 Coder 32B writes better pandas code than GPT-4 did a year ago. DeepSeek Coder V2 generates accurate SQL on 12GB VRAM. Model picks by task, prompting strategies, and a practical LLM + Python workflow.
Vision Models Locally: Image-Understanding AI on Your GPU
Run vision language models locally with Ollama. Qwen2.5-VL, Gemma 3, Llama 3.2 Vision, and Moondream compared with VRAM requirements and real benchmarks.
ControlNet Guide: Precise AI Image Control on Your GPU
ControlNet guide for Stable Diffusion and Flux. Covers Canny, OpenPose, Depth preprocessors, VRAM needs, ComfyUI and A1111 setup, and practical workflows.
Best Local LLMs for RAG in 2026
The best local models for retrieval-augmented generation by VRAM tier. Qwen 3, Command R 35B, embedding models, and RAG stacks with real failure modes.
Local AI Video Generation: What Works in 2026
Wan 2.2 leads on quality, LTX-Video renders 5-second clips in 4 seconds, and 12GB VRAM is the minimum. Speed benchmarks, VRAM charts, and setup for 7 models on consumer GPUs.
AI Art Styles & Workflows: SD and Flux Guide
Photorealism, anime, oil painting, concept art, and pixel art on 8GB+ VRAM. Model picks, LoRA stacking at 0.5-0.8 weight, and ComfyUI workflows for each style.
Fine-Tuning LLMs on Consumer Hardware: LoRA and QLoRA Guide
Fine-tune a 7B model on 6-10GB VRAM with QLoRA and Unsloth (2-5x faster, 70% less memory). Only 200-500 examples needed. Dataset prep through training on RTX 3060-4090.
ComfyUI vs Automatic1111 vs Fooocus: Which Should You Use?
Fooocus if you want results in 5 minutes. ComfyUI if you want total control. A1111 if you're already using it. Honest comparison with speed and VRAM benchmarks.
Best Local LLMs for Math & Reasoning: What Actually Works
The best local LLMs for math and reasoning tasks, ranked by VRAM tier. AIME and MATH benchmarks for DeepSeek R1, Qwen 3 thinking, and Phi-4-reasoning.
Voice Chat with Local LLMs: Whisper + TTS
0.5-1.1 second round-trip latency with Whisper STT + Kokoro TTS + your local LLM. Needs 2-4GB extra VRAM on top of your model. Setup with Open WebUI and standalone options.
Flux Locally: Complete Guide to Running Flux on Your Own GPU
Flux needs 12GB VRAM with GGUF quantization or 24GB at full FP16. Generates images with readable text and correct hands in ~60 seconds. ComfyUI setup and optimization tips.
Best Local LLMs for Chat & Conversation
The best local LLMs for chat and conversation in 2026. Picks for every VRAM tier from 8GB to 24GB, with Ollama commands to start chatting immediately.
Local RAG: Search Your Documents with a Private AI
Search your private PDFs, notes, and code with a local LLM—no cloud, no API calls. 3 setup methods from zero-config Open WebUI to 30 lines of Python with ChromaDB.
Best Local LLMs for Writing & Creative Work
Qwen 2.5 32B on 24GB VRAM is the sweet spot for fiction and long-form. On 8GB, Nous Hermes 3 8B punches above its weight. Model picks for every tier and writing task.
Stable Diffusion Locally: Getting Started
SD 1.5 runs on 4GB VRAM, SDXL needs 8GB, Flux needs 12GB+. Generate unlimited images for free in under 5 minutes with Fooocus or ComfyUI. Setup, models, and first image tips.
Best Models for Coding Locally in 2026
The best local LLMs for coding in 2026, ranked by VRAM tier. Benchmarks, editor setup, and practical recommendations for developers replacing Copilot.