# Slopsome.com - a free VRAM fit-calculator + real tokens/sec database for local LLMs

> Source: <https://discuss.huggingface.co/t/slopsome-com-a-free-vram-fit-calculator-real-tokens-sec-database-for-local-llms/176771#post_2>
> Published: 2026-06-14 14:03:00+00:00

Hey all,

I built [slopsome.com](http://slopsome.com) to answer the question I kept re-deriving by hand: will model X run on GPU Y at quant Q with a Z-token context, and how fast?

It’s a search engine for LLM + GPU stats: a VRAM fit-calculator (fits in VRAM / with offload / multi-GPU / won’t fit + estimated tok/s), real measured throughput, and side-by-side compares of open-weight and API models (params, quant sizes, min VRAM, benchmarks, cost). Built for the GGUF / llama.cpp / Ollama / vLLM crowd. Free, no signup, sourced data (no invented numbers).

There’s also an open read-only API and a small HF Space demo. Feedback very welcome - wrong numbers, missing models/GPUs, features you’d want.

Try the demo Space: [slopsome — Will It Fit? - a Hugging Face Space by NexAIGuy](https://huggingface.co/spaces/NexAIGuy/slopsome-will-it-fit)

Great! Can you add multiple GPU capability? Eg. I have 2x 5060ti GPUs