How much VRAM do you need to run a local LLM?
Work it out in three steps, then check you were right — because the model file is not the whole bill.
Running models on your own hardware — requirements, performance and trade-offs.
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Work it out in three steps, then check you were right — because the model file is not the whole bill.
Why a "large" model can be fast: most of it sits out any given word.
It is slow, and it also silently gave your model a 4K context window. Both are the same bug.
It is not the model. Ollama picks your context length from your VRAM at startup, and the bottom tier is very small.
The file format behind every local model you have downloaded — and how to read its name.
Shrinking a model so it fits on hardware you own — and what you give up.
They are the same engine. You are choosing an interface and a licence, not a speed.