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Ollama context length determined by VRAM, not just model file

By PulseAugur Editorial · [1 sources] ·

The effective context window for LLMs served by Ollama is not solely determined by the model file but is also influenced by the available VRAM on the serving machine. If a machine's VRAM, after accounting for overhead, falls below certain thresholds (e.g., 23 GiB), Ollama defaults to a 4096 token context length. This default is only applied if no explicit context length is provided by the user, model options, or environment variables. The model file itself can only limit the context window downwards, not set the actual operational limit. AI

IMPACT Clarifies how hardware limitations can restrict LLM context window sizes in deployed systems, impacting performance and usability.

RANK_REASON Technical explanation of how a specific software's (Ollama) configuration impacts LLM context window size based on hardware resources.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Ollama context length determined by VRAM, not just model file

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Technical explanation of how a specific software's (Ollama) configuration impacts LLM context window size based on hardware resources.
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · pm25coder ·

    Your model card says 128k. The machine serving it picked 4k.

    <p>I got this one wrong first, and the reason is worth more than the correction.</p> <p>I assumed the effective context window was a property of the model file. Dump the GGUF header, read <code>context_length</code>, compare it against what the model card claims, done. That check…

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