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Revert "fix: parameter rule" (#8070)

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AAEE86 2024-09-07 10:44:56 +08:00 • committed by GitHub
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5 changed files with 5 additions and 5 deletions
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2
api/core/model_runtime/model_providers/spark/llm/spark-1.5.yaml
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@ -26,7 +26,7 @@ parameter_rules:
type: int type: int
default: 4 default: 4
min: 1 min: 1
max: 10 max: 6
help: help:
zh_Hans: 从 k 个候选中随机选择一个（非等概率）。 zh_Hans: 从 k 个候选中随机选择一个（非等概率）。
en_US: Randomly select one from k candidates (non-equal probability). en_US: Randomly select one from k candidates (non-equal probability).

2
api/core/model_runtime/model_providers/spark/llm/spark-2.yaml
View file

@ -27,7 +27,7 @@ parameter_rules:
type: int type: int
default: 4 default: 4
min: 1 min: 1
max: 10 max: 6
help: help:
zh_Hans: 从 k 个候选中随机选择一个（非等概率）。 zh_Hans: 从 k 个候选中随机选择一个（非等概率）。
en_US: Randomly select one from k candidates (non-equal probability). en_US: Randomly select one from k candidates (non-equal probability).

2
api/core/model_runtime/model_providers/spark/llm/spark-3.5.yaml
View file

@ -26,7 +26,7 @@ parameter_rules:
type: int type: int
default: 4 default: 4
min: 1 min: 1
max: 10 max: 6
help: help:
zh_Hans: 从 k 个候选中随机选择一个（非等概率）。 zh_Hans: 从 k 个候选中随机选择一个（非等概率）。
en_US: Randomly select one from k candidates (non-equal probability). en_US: Randomly select one from k candidates (non-equal probability).

2
api/core/model_runtime/model_providers/spark/llm/spark-3.yaml
View file

@ -26,7 +26,7 @@ parameter_rules:
type: int type: int
default: 4 default: 4
min: 1 min: 1
max: 10 max: 6
help: help:
zh_Hans: 从 k 个候选中随机选择一个（非等概率）。 zh_Hans: 从 k 个候选中随机选择一个（非等概率）。
en_US: Randomly select one from k candidates (non-equal probability). en_US: Randomly select one from k candidates (non-equal probability).

2
api/core/model_runtime/model_providers/spark/llm/spark-4.yaml
View file

@ -26,7 +26,7 @@ parameter_rules:
type: int type: int
default: 4 default: 4
min: 1 min: 1
max: 10 max: 6
help: help:
zh_Hans: 从 k 个候选中随机选择一个（非等概率）。 zh_Hans: 从 k 个候选中随机选择一个（非等概率）。
en_US: Randomly select one from k candidates (non-equal probability). en_US: Randomly select one from k candidates (non-equal probability).