Local AI, a little less guesswork
Can I run this?
Big model. Small question.
Find out what fits your computer before you start the download.
Under the hood
Same app.
Different appetites.
Bionic and LM Studio run models; they aren’t model families. The exact download, its precision, your context length and the runtime all matter. Two versions of the same model can have very different requirements.
How we estimate fit
Model files + a runtime allowance (at least 1 GiB, or 10% of the files) + your context cache. We reserve the larger of 4 GiB or 15% of system memory for the OS. Dedicated GPUs reserve the larger of 0.5 GiB or 10% of VRAM, with a separate host-RAM check.
We call memory sufficient only with at least 20% of usable memory left. Free disk, when supplied, must cover the files plus a 10% download margin. Unified memory is counted once; system RAM and VRAM are never added. Partial offloading, multi-GPU setups, swap and distributed inference are not modeled.
About the Muse Spark collection
The linked Muse Spark Open models have 816 billion total parameters, with 42 billion active per token. The inactive weights still need storage and memory. Even the NVFP4 download is roughly 496 GiB before runtime and context overhead.
Model sizes checked October 15, 2026. Estimates are for one local computer and one conversation.