KV Cache Quantization: 5 Surprising Facts About Longer Context
KV cache quantization can buy you context without new hardware — one user went from 32k to 80k. What it saves, what…
KV cache quantization can buy you context without new hardware — one user went from 32k to 80k. What it saves, what…
Quantization for coding is not the same as for chat: MBPP+ fell 13–16 points where HumanEval+ held. What to run, and what…
Quantization quality loss, measured: where the cliff actually is, why 4-bit holds up better than expected, and why one score hides big…
Which quant to download for your GPU: the 4 rules that cover 8GB to 32GB, how to read a GGUF filename, and…
Quantization explained in plain English: what Q4, Q8 and GGUF mean, how much quality you really lose, and which file to download…
The best free local AI models to run in 2026, from Phi-4-mini on a 4GB laptop to Llama 4 Scout — picked…
DGX Spark vs Strix Halo vs Mac Studio vs a GPU rig: which personal AI supercomputer should you buy in 2026? One…
The 2026 memory crisis is why RAM, SSDs and GPUs all got expensive. Here's what is happening to prices, why AI is…
What hardware do you need to run AI models locally? VRAM, RAM and disk decide it. Here's a sizing guide for 8GB,…
Local AI vs cloud AI: which should you actually use? Privacy, cost, quality, speed and convenience — here's how to decide, with…
Browse, download, and run local AI models using LM Studio.
The open-source C/C++ project that made running LLMs on everyday hardware possible.
A desktop app that runs open models on your machine and keeps your chats private.
The easiest way to download and run large language models on your own computer, offline.