AINewsnow

Running a 180B Model on a Laptop With No GPU: How 4-bit GGUF Keeps Full Accuracy

This story is from 2026-10-06. It is preserved in the archive; the latest stories are on the live feed.

A frontier-class model used to mean a rack of data-center GPUs. That assumption is what this post takes apart. POCKET-Darwin-180B-GGUF is a 4-bit build of Darwin-180B-RSI, a 180-billion-parameter model, packaged so it runs without a GPU . It ships as GGUF on Hugging Face and on ModelScope. The head…

Read the full story at DEV Community — AI ↗

Timeline · 1 report

  1. 2026-10-06 00:42 · DEV Community — AI
    Running a 180B Model on a Laptop With No GPU: How 4-bit GGUF Keeps Full Accuracy

More stories

  1. Aleph-Alpha/Kolibri-1 · Hugging Face - 78B parameters. 3.46B active. Up to 1M tokens of context - Apache 2.0 — r/LocalLLaMA
  2. Qwen3.8-Flash-Next 177B running at 11–15 tok/s on a single RTX 5070 12GB + 32GB RAM DDR4 — r/LocalLLaMA
  3. World Models: The Simulation Strikes Back — r/computervision
  4. I fine-tuned SmolVLM-500M into a lightweight Windows OS Agent (<8GB VRAM) Looking for feedback & ideas! [Weights on HuggingFace] — r/huggingface
  5. Hinton says AI already has subjective experience. I'm not convinced, and the Hugging Face breach doesn't change that — r/ArtificialInteligence
  6. The ultimate guide to multi-harness RL — r/huggingface
  7. ~188k warm ~60–67 tok/s: Qwen3.8-Flash-Next NVFP4 with Strata on a single RTX PRO 4500 32GB + 64GB DDR5. — r/huggingface
  8. A quick Minimax H3 news round-up - 3rd October 2026 — r/comfyui

Get the daily brief of stories like this at 6:30 every morning →