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change：将表达器模型给Utils

pull/1273/head
SengokuCola 2025-09-29 18:12:14 +08:00
parent 0683f56e23
commit c9c7a7704c
2 changed files with 2 additions and 2 deletions
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2
src/chat/express/expression_learner.py
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@ -89,7 +89,7 @@ def init_prompt() -> None:
class ExpressionLearner: class ExpressionLearner:
def __init__(self, chat_id: str) -> None: def __init__(self, chat_id: str) -> None:
self.express_learn_model: LLMRequest = LLMRequest( self.express_learn_model: LLMRequest = LLMRequest(
model_set=model_config.model_task_config.replyer, request_type="expression.learner" model_set=model_config.model_task_config.utils, request_type="expression.learner"
) )
self.embedding_model: LLMRequest = LLMRequest( self.embedding_model: LLMRequest = LLMRequest(
model_set=model_config.model_task_config.embedding, request_type="expression.embedding" model_set=model_config.model_task_config.embedding, request_type="expression.embedding"

2
template/model_config_template.toml
View File

@ -94,7 +94,7 @@ price_out = 0
[model_task_config.utils] # 在麦麦的一些组件中使用的模型，例如表情包模块，取名模块，关系模块，麦麦的情绪变化等，是麦麦必须的模型 [model_task_config.utils] # 在麦麦的一些组件中使用的模型，例如表情包模块，取名模块，关系模块，麦麦的情绪变化等，是麦麦必须的模型
model_list = ["siliconflow-deepseek-v3","qwen3-30b"] # 使用的模型列表，每个子项对应上面的模型名称(name) model_list = ["siliconflow-deepseek-v3"] # 使用的模型列表，每个子项对应上面的模型名称(name)
temperature = 0.2 # 模型温度，新V3建议0.1-0.3 temperature = 0.2 # 模型温度，新V3建议0.1-0.3
max_tokens = 2048 # 最大输出token数 max_tokens = 2048 # 最大输出token数