gpt-oss

3 articles · newest first

A server GPU representing large model inference

gpt-oss-120b is a 120-billion-parameter model you can actually run at home — if you know the MoE trick

OpenAI's open-weight 120B model sounds impossible for consumer hardware. But it's a Mixture-of-Experts model, and that changes the math completely. Here's what it really takes to run it.

Lena Fischer · 2d ago · 9 min

Ollama, the local-model runtime used to run open-weight LLMs on consumer GPUs

a free model on your 24GB GPU codes within 4 points of Claude Opus. meet Qwen3.6-27B

on a single 24GB card in 2026 there's no one 'best' — it's a clean three-way split: Qwen3.6-27B for coding, Gemma 4 for vision, gpt-oss-20b for raw speed. and a used RTX 3090 still competes, because this is a memory game, not a compute one.

Lena Fischer · Jul 19 · 7 min

Two graphics cards side by side, illustrating GPU VRAM tier comparison

everyone asks which local AI model is 'best.' wrong question — your VRAM already picked it

Llama 4 Scout, Qwen3.6-27B, GPT-OSS-20B, Phi-4-14B — four totally different 'best' models, and which one is yours comes down to a single number: how much VRAM your GPU actually has.

Lena Fischer · Jul 18 · 6 min