Show HN: RigCheck – can your GPU or Mac run this open model? Sourced, open data

New open models ship every week. Pick your graphics card or Mac and RAM, and each model's own checker answers from the developers' published requirements and benchmarks.

Short answer: With GeForce RTX 3060 (12 GB) + 32 GB RAM, Gemma 4 12B (Q5_K_M), Gemma 4 E2B (BF16), Gemma 4 E4B (Q8_0), Qwen3.8-27B (UD-IQ2_XXS) fit with every layer in GPU memory; with GeForce RTX 3090 / 3090 Ti (24 GB) + 64 GB RAM, Gemma 4 12B (Q8_0), Gemma 4 26B-A4B (UD-Q4_K_XL), Gemma 4 31B (IQ4_XS), Gemma 4 E2B (BF16), Gemma 4 E4B (BF16), Qwen3.8-27B (UD-Q4_K_XL) fit with every layer in GPU memory. These are RigCheck capacity estimates for llama.cpp at a 32K context in the finder's quick mode, not measured setups; larger models need system RAM or a Mac, and image and video models are judged by planning budgets and published recipes. Every model: the model list.

13 models · 1 engine · 5 VRAM pages · Latest: LFM2.5-24B-A2B, added 2026-10-22

With 64 GB of system RAM, in the finder's quick mode. Language models are counted in sizes (Gemma 4 counts five); sizes the checker does not cover and models without released weights are left out. Image and video: Qwen-Image (a planning budget): base model, INT8, 512×512, batch one, no reference images; Kolibri-1: the official FP8 route at a 32K context; MiniMax H3: local H3-Base FL2VA recipes, assuming an NVMe drive; Nemotron 3.5: Bolt and Super VL on one card with the RAM given; FLUX 3 Image Klein: Black Forest Labs' int8 ComfyUI route on the card. Language-model answers are RigCheck capacity estimates (Strata: its published requirements; Nemotron 3.5, GLM-5.3-Flash and DeepSeek V4.1 Flash: published routes and Unsloth memory tables), not measured setups. All graphics cards · Macs.

Sizes that sit entirely in the memory of a card with 24 GB or less, at the cheapest card in our sample; sizes that need system RAM are left out.

Judged by planning budgets and published recipes, not by a measured peak.

RigCheck is independent and not affiliated with any model developer. Found a wrong number? Email hello@localrigcheck.com with the source. How RigCheck works.

Pick your card and RAM in the finder above, or open your graphics card's page. Each answer comes from that model's own checker, and says which kind it is: the llama.cpp checkers add up the file, the context cache and buffers against your memory; the Strata checker applies Strata's published requirements; Kolibri-1's matches official minimum configurations and a community recipe; image models use a planning budget and video models match published recipes. The full checker on each model page takes your exact setup.

The model fits only with part of it in system RAM (slower), or the memory peak is not measured, or the route is one the checker marks as conditional. The checker says which; RigCheck never shows a caveat as a plain yes.

Many of them: on a Mac the graphics and the processor share one pool of unified memory, so the finder judges a Mac by its total memory. Open the page for your Mac's memory size or pick your Mac in the finder; the Strata engine runs on Apple Silicon only experimentally.

Mostly not. The llama.cpp checkers' memory answers are RigCheck capacity estimates from the published file sizes; Strata's follow its published requirements, Kolibri-1's match official minimum configurations or a community recipe, and image and video answers are planning budgets or published recipes. Speeds are labeled as an official measurement, an official estimate or a community report; a measurement names the card and setup it was run on. How RigCheck works.

Newly released open-weights models and a few popular mid-size ones, each with its own checker. The model list shows them all with their sizes, weights status, runtimes and license.