AI Coding
(10 articles)Run DeepSeek V4.1-Flash Locally: The 2026 GPU Guide
A no-nonsense tutorial on running DeepSeek V4.1-Flash — a 552B-parameter multimodal MoE — on your own hardware, with real VRAM math, quantization tradeoffs,...
Install Ollama in 10 Minutes: Run Any LLM Locally Free
A no-fluff walkthrough for installing Ollama on Mac, Windows, or Linux and running open models like Llama 3.3 and DeepSeek V3 completely offline.
Run Qwen 3.6-27B Locally: 5-Step GPU Setup Guide
A practical tutorial for running Qwen 3.6-27B on your own GPU. Includes AWQ setup, vLLM serving, real tokens-per-second benchmarks, and the pitfalls that eat...
DeepSeek V4 Pro Local Setup: The 7-Step GPU Guide
A practical walkthrough for getting DeepSeek V4 Pro running on your own hardware, from picking the right GPU tier to squeezing real tokens-per-second out of...
Qwen3.5 vs Gemma4: 4 Models Tested for Local Coding
We break down benchmarks across all four Qwen3.5 and Gemma4 variants for local agentic coding on a 4090 — speed, code quality, VRAM, and context. One clear...
Ditch the API Bill: Run Claude Code on Local LLMs
Connect Claude Code CLI to a local llama.cpp server in under 10 minutes. Full tutorial covering terminal setup, VS Code integration, and performance tuning for...
Ollama vs LM Studio: 7 Differences That Matter
Ollama is a CLI-first tool built for developers who want API access and Docker deployment. LM Studio is a polished desktop app for anyone who wants to chat...
Krasis vs llama.cpp: Is 10x Faster LLM Inference Real?
Krasis LLM Runtime claims dramatically faster inference than llama.cpp for large MoE models on a single NVIDIA GPU. We break down the real numbers, the...
A $500 GPU Just Beat Claude Sonnet at Coding Tasks
ATLAS, a source-available AI system built by a Virginia Tech student, scores 74.6% on LiveCodeBench using a single $500 consumer GPU — outperforming Claude...
Qwen3.5-9B vs GPT: Document OCR Benchmarks & Weak Spot
Benchmark data shows Qwen3.5-9B beats frontier models on OCR and field extraction, yet stumbles badly on tables. Here's the honest breakdown.