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LM Studio a local 7B model issue "Cannot truncate prompt with n_keep (15028) >= n_ctx (7424)" #11141

Closed as not planned

Description

@abdulqadar

When I try to ask something to local LM studio LLM it gives below error.

Did some R&D to find where to adjust this but could not find the right place for this config.

"Cannot truncate prompt with n_keep (15028) >= n_ctx (7424)"

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  1. github-actions commented on Jan 29, 2026

    @github-actions
    Contributor

    This issue might be a duplicate of existing issues. Please check:

    Feel free to ignore if none of these address your specific case.

  2. mgonzalezlopezudc commented on Feb 13, 2026

    @mgonzalezlopezudc

    Same behavior here with Qwen 0.6B running on LMstudio. However, setting in LMstudio the context for the model up to maximum, fixes the issue

  3. KevinGimbel commented on Feb 16, 2026

    @KevinGimbel

    Same with openai/gpt-oss-20b, setting context to max fixed it.

  4. Jamescd1980 commented on Feb 28, 2026

    @Jamescd1980

    Increasing context size does not resolve the issue. It delays it. Eventually you have too many token to run anything. I'm having the same problem but I can't find away to adjust N_keep, so it will dump the tokens.

  5. max-arias commented on Mar 3, 2026

    @max-arias

    Same issue with qwen/qwen3.5-9b running through LM Studio 0.4.6, Opencode 1.2.15

  6. elecNation commented on Mar 4, 2026

    @elecNation

    通过LM Studio 0.4.6,OpenClaw 运行的qwen/qwen3.5-9b 有同样的问题

  7. wilsonsilva commented on Mar 8, 2026

    @wilsonsilva

    I'm getting a similar error Cannot truncate prompt with n_keep (11378) >= n_ctx (4096)" with qwen/qwen3.5-9b and opencode 1.2.21.

    Edit: Seems like this isn't an issue with OpenCode itself, but with the configuration in LM Studio. I fixed this by setting the context length to the maximum the model supports (256k)

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  8. Jamroszczyk commented on Mar 9, 2026

    @Jamroszczyk
    1. Increase the context length in Model Defaults
    2. Reload the model into memory; only then will it be applied.

    Consider your available memory, however, before setting it to max. Some models explode with the max value.

  9. Jamescd1980 commented on Mar 9, 2026

    @Jamescd1980

    As I said before. Increasing the context window only delays the inevitable issue Wilson and I are having. Increasing context window and setting it to rolling window only works when using the LM UI. When using LM as a server and a deferent program as the UI, like Open Interpreter. You will get the n_keep error. Reloading the model, relaunching LM, rebooting the pc, deleting and reinstalling LM Studio. None of them work to resolve the issue. It as files all over the place that you have to track down and delete in order to fix it. But that has to be done every time you get the n_keep error. The highest context window I can run is 128k. That is about 3.5-4 hours of work.

  10. codinoob1 commented on Mar 12, 2026

    @codinoob1

    While working with LLAMA 7B in Android Studio, I encountered persistent errors that prevented successful execution. I attempted to adjust various settings, but none of the changes resolved the issue.
    The errors consistently appeared during prompt execution, regardless of configuration changes. Unfortunately, I am currently unable to reproduce the issue, but I want to document it here for visibility and potential troubleshooting.
    Steps Taken

    • Adjusted Android Studio project settings (memory allocation, Gradle configs, etc.)
    • Attempted to lower the prompt size
    • Increased the context length
    • Reloaded the environment and retried execution
      Observed Behavior
    • Errors persisted despite configuration adjustments
    • No successful run achieved with LLAMA 7B in Android Studio
      Expected Behavior
    • Model should execute without persistent errors when prompt size and context length are within supported limits
      Notes
    • Issue occurred specifically with LLAMA 7B model
    • May be related to context length handling or prompt size constraints
    • Currently not reproducible, but documenting for future reference and community input
  11. github-actions commented on May 12, 2026

    @github-actions
    Contributor

    To stay organized issues are automatically closed after 60 days of no activity. If the issue is still relevant please open a new one.

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