13274243a0
Keep K3 suite selection and report-schema scoring in bash, merge K3/vision dataset_args into dpv4 yamls, and pin EvalScope at 735d920ee911 with local patches. Co-authored-by: Cursor <cursoragent@cursor.com>
13 lines
885 B
Diff
13 lines
885 B
Diff
--- /tmp/evalscope-sync/src-v191/evalscope/api/model/generate_config.py 2026-07-21 03:18:18.000000000 +0000
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+++ /data1/syy/evalscope/evalstone/evalscope/evalscope/api/model/generate_config.py 2026-08-21 03:03:19.541325105 +0000
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@@ -64,6 +64,9 @@
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max_tokens: Optional[int] = Field(default=None)
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"""The maximum number of tokens that can be generated in the completion (default is model specific)."""
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+ max_completion_tokens: Optional[int] = Field(default=None)
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+ """An upper bound for the number of tokens that can be generated for a completion, including visible output tokens and reasoning tokens. Used by OpenAI reasoning models and some proxies."""
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+
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top_p: Optional[float] = Field(default=None)
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"""An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass."""
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