FitLLM
Actively maintained
689 installs/mo
Established
- For
- people checking whether a local LLM fits their NVIDIA, AMD or Mac memory before downloading
- Activity
- Actively maintainedrelease 4 weeks ago · site updated 4 weeks ago
- Used for
- check whether a model fits in GPU VRAM
- compare KV cache quantization and context length settings
- estimate memory left after loading a Hugging Face model config
- Has an MCP server (1 in the registry)public registry →
- Publishes llms.txt, a file written for AI assistantsfitllm.run ↗
- MCP serverrun.fitllm/fitllmverified in the MCP registry
- Stateanswers, 3 toolschecked 2026-10-15
- Address to connectfitllm.run/api/mcp
- OpenAPI spec2 pathsthe spec ↗
This card as JSON, for your agent →
Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.
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Not it? Say what you need
betaThree tools from the Atlas for the job you describe, each with what fits and what does not.
No notes yet. What do you use FitLLM for?
Sign in to leave a noteWhat is FitLLM?
Estimates whether a chosen model, quantisation and context length fit in a GPU's VRAM or a Mac's unified memory. It is listed in the Atlas under Commerce.
Who is FitLLM for?
people checking whether a local LLM fits their NVIDIA, AMD or Mac memory before downloading
Do people use FitLLM?
Established: 689 installs/mo (npm).
Is FitLLM still maintained?
Actively maintained: release 4 weeks ago · site updated 4 weeks ago.
How we read a tool
No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.
- Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
- Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
- Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
- The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.
How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.
How we read every tool → · By INITE Atlas Desk