MCP serverrun.fitllm/fitllm

Will this LLM fit on your GPU, multi-GPU rig or Mac?

Will this LLM fit on your GPU, multi-GPU rig or Mac? Exact VRAM & KV-cache math. Read-only.

UNRATEDActivestreamable-httpfitllm.run

Overview

Score?

UNRATED 0.672

of what a free look can see, on 30 looks

Looks

last 11 hr ago

Tools

URL

fitllm.run/api/mcp

streamable-http

Says it is

fitllm 1.1.0

protocol 2025-06-18

In the record since

32 days ago

0median 0.606 · this server 0.672 · highest on record 0.8561

The tools this server lists, read out of the definition it returned
Tool	Schema
check_llm_fit Check whether a specific local LLM fits in the memory of a specific GPU or Apple Silicon Mac. Returns fits/tight/won't-fit verdict with the memory breakdown (weights, KV cache, lin	input · no output
list_supported List the built-in model names and hardware names this fit-checker knows (for mapping user wording to exact names). Standard text-only HuggingFace transformer configs can also be ch	input · no output
what_fits_on_hardware Rank which popular local LLMs fit on a given GPU or Apple Silicon Mac (at ~4-bit quantization, 8K context) — models that fit come first, biggest first, with max context each. Use w	input · no output

Verify it yourselfnpx teppi-check https://fitllm.run/api/mcpcurl -s https://api.teppi.xyz/v1/trust/mcp/mcs_01M1FZ2QMABS82SXMJFJVZFFAH