qwen3

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GLM vs Qwen3 for local use: which top open model to actually run

Qwen3-30B-A3B fits a 24GB card at ~17.5GB; GLM-4.5-Air needs ~60GB. GLM ranks a touch higher; Qwen3 runs on far less. How to choose, with sourced numbers.

Aliteq Team · Sep 24 · 7 min

Illustration of choosing between two AI model badges over a laptop

Llama 4 vs Qwen3 for Local Use: The Honest Comparison

The quiet truth: for most home users, Qwen3 is the better default than Llama 4 Scout. Where each actually wins, the LMArena controversy, and the specific cases where Scout is worth it.

Aliteq Team · Sep 22 · 7 min

Flat illustration of a person at a PC running an AI assistant with a graphics card in the case, on a teal background

The Best GPU for Running Qwen3 Locally in 2026 (by Model Size)

Qwen3 isn't one model — it's a family from 4B to 235B, and the right GPU depends entirely on which you run. My VRAM-first map of every variant, the MoE trap that trips people up, and the used card I'd hand most people.

Aliteq Team · Sep 22 · 8 min

A friendly 3D AI robot working at a laptop

how to run Qwen3 locally in 2026 — the best open model, on your own PC, in one command

Qwen3 is arguably the best open model you can run at home right now. Getting it running is genuinely one command. Here's exactly how, and which size fits your GPU.

Aliteq Team · Aug 1 · 10 min

the best free AI models you can run at home in 2026, ranked by what your hardware can handle

Open, free AI models have gotten shockingly good. Here are the best ones to run locally — for every size of computer, from a laptop to a 24GB graphics card.

Aliteq Team · Jul 30 · 9 min

got a 16GB GPU? here's exactly which local AI models fit — and the one tier you should skip

16GB is the awkward middle of local AI: too much for the 8B tier, not enough for 32B. Here's what actually runs well, what to avoid, and how to get the most out of the memory you have.

Aliteq Team · Jul 28 · 9 min

An AMD Ryzen CPU seated in a motherboard next to DDR4 memory slots

how to run a 30B model on a 12GB GPU: the one llama.cpp flag that makes it possible

--n-cpu-moe is the setting that lets a modest graphics card punch far above its VRAM. It offloads the parts of a Mixture-of-Experts model you use least to system RAM — and here's exactly how to tune it for your card.

Aliteq Team · Jul 27 · 9 min