run.fitllm/fitllm

up checked 2026-11-11T03:38:30.058Z

Unclaimed · Unverified

Publisher-provided title

FitLLM

Publisher-provided description

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

Summary by lookupd

Checks whether local LLMs fit in a given GPU or Apple Silicon Mac's memory, with VRAM and KV-cache breakdowns.

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http fitllm https://fitllm.run/api/mcp

Codex, remote (streamable-http)

codex mcp add fitllm --url https://fitllm.run/api/mcp

Cursor, remote (streamable-http) → .cursor/mcp.json

{
  "mcpServers": {
    "fitllm": {
      "url": "https://fitllm.run/api/mcp"
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Publisher-provided text

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 (we
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
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 co

Shows this live status and links here; updates hourly.

[![lookupd status](https://lookupd.com/badge/run.fitllm/fitllm.svg)](https://lookupd.com/servers/run.fitllm/fitllm)