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Ollama's context length defaults are confusing and silently truncate conversations

Ollama's default context length is inconsistently documented and applied across different configurations. The documentation presents at least three conflicting default values: 2048 in the Modelfile reference, variable lengths (4k, 32k, 256k) based on available VRAM, and a value baked into the model image itself. The most specific setting, such as one defined in a model's Modelfile or in an individual request's options, overrides broader defaults like environment variables or VRAM-based tiers. A significant issue is that when a prompt exceeds the effective context window, Ollama silently drops earlier messages without any user-visible indication or error, logging the truncation only at a debug level. AI

IMPACT Users may encounter unexpected behavior with long conversations due to silent truncation of context, impacting the reliability of Ollama for complex tasks.

RANK_REASON Article discusses configuration and behavior of an existing AI tool, not a new release or significant industry event.

Read on dev.to — LLM tag →

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Ollama's context length defaults are confusing and silently truncate conversations

COVERAGE [1]

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

    Ollama's Default Context Length, and Why It Is Not the Number You Read

    <p>People arrive at this question because a model with a 128K context window forgot the beginning of a 20,000-token document and said nothing about it. The context that applied was not the model’s. Ollama documents at least three different defaults in three different places, and …