Skip to content

abhiindigloo/model-finder

v1.2.0

Pick the right AI model with evidence: compare Claude, Gemini, OpenAI, cloud and local models; run your own examples to measure quality, latency and cost; generate cheapest-first routing; and size local models including KV cache.

size-local-model

Estimate the GPU or unified memory needed to run an open-weight model locally, covering weights at a given precision or quantization plus KV cache for a chosen context length and concurrency, and compare it with available memory. Use whenever the user asks whether a model fits their GPU, Mac, or server, how much VRAM or RAM a model needs, what quantization to use, how context length or batch size affects memory, or how to size hardware for Ollama, llama.cpp, vLLM, or LM Studio, even if they don't say "memory". Gives estimates with stated assumptions, never a guarantee of fit.

Read SKILL.md at the source

Pinned to revision 4490b688bdf8, so it is the text this page describes rather than whatever the author pushed since.

Files

Every link opens the file at its source, pinned to the revision this page describes.