A long chat plus an attached document can use most of the available context before the answer begins.
Context is working material for the current request, not proof of permanent memory. It can contain instructions, conversation history and supplied documents. Applications may trim or summarise older material when it exceeds their limits, so the interface's visible history is not necessarily the exact input being processed.
The model's advertised limit and the runtime's configured limit can differ. Ollama documents context settings and explains that larger allocations require more memory. Before raising a limit, establish whether you need the whole document at once or can work on relevant sections.
Long context also creates space for irrelevant or conflicting material. Make your question precise, identify the document that matters and reserve room for the response. If the model misses a detail, supply the relevant passage directly and verify the answer against it; increasing the limit alone is not a reliability fix.
Sources
Primary references checked 11 October 2026. This explanation is not a benchmark of a particular model or computer.