[PR #11175] avoid context overflow #13465

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GiteaMirror · 2026-04-13T00:28:03-05:00

GiteaMirror commented

2026-04-13 00:28:03 -05:00

Original Pull Request: https://github.com/ollama/ollama/pull/11175

State: closed
Merged: Yes

For smaller context models, make sure we do not exceed the training size.

While testing larger context sizes, I noticed our current 4k default context causes problems on models like orca-mini which have a 2k context max.

llama_context: n_ctx_per_seq (4096) > n_ctx_train (2048) -- possible training context overflow

**Original Pull Request:** https://github.com/ollama/ollama/pull/11175 **State:** closed **Merged:** Yes --- For smaller context models, make sure we do not exceed the training size. While testing larger context sizes, I noticed our current 4k default context causes problems on models like orca-mini which have a 2k context max. ``` llama_context: n_ctx_per_seq (4096) > n_ctx_train (2048) -- possible training context overflow ```

GiteaMirror added the pull-request label 2026-04-13 00:28:03 -05:00

GiteaMirror closed this issue

2026-04-13 00:28:04 -05:00

GiteaMirror referenced this issue

2026-04-22 18:23:07 -05:00

[GH-ISSUE #13465] unknown tokenizer format: Can't Import Mistral-small-3.2 #34645

GiteaMirror referenced this issue

2026-04-29 09:06:30 -05:00

[GH-ISSUE #13465] unknown tokenizer format: Can't Import Mistral-small-3.2 #55398

GiteaMirror referenced this issue

2026-05-04 23:32:09 -05:00

[GH-ISSUE #13465] unknown tokenizer format: Can't Import Mistral-small-3.2 #70944

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Reference: github-starred/ollama#13465