NVIDIA released the RTX PRO 5500 Blackwell today with 84 GB. The r/LocalLLaMA thread asked how much a kidney costs; nobody said which models it holds. Here are the eight most-downloaded local models on Hugging Face, every size read from the file tree rather than the model card.
| Model | Largest quant that fits | On disk | Left over, with 10% headroom |
|---|
"Fits" means size × 1.10 ≤ memory. The 10% covers KV cache, activations and the OS at a modest context. It is a stated allowance, not a measurement; a 128K-token context on a big MoE will want more.
| Model |
|---|
The eight rows are the eight most-downloaded distinct local LLMs by GGUF download count on Hugging Face on 14 September 2026, not the eight most interesting. That is why a 397B Ornith sits next to a 12B Gemma: people pull both. Download counts are shown under each name.
For each model I took the GGUF repo linked in the table, listed its file tree through the Hugging Face API on 14 September 2026, and summed the .gguf files for each quantization, split files included, mmproj excluded. Divided by 1,000,000,000 to give GB. The DeepSeek row is the exception: its sizes come from reading the safetensors headers of all 48 shards, and exclude the 203 GB of lookup tables that read 12 KiB per token and belong on an SSD.
What this page does not do: estimate speed. A card that fits a model is not a card that runs it well; that depends on the engine, and the only honest number is a measured one.
There will be another card, and another model, and this table will be wrong for both. I add every new open-weight release and every new card to this same page, from the file tree, usually within a day, and they all land here.