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Update model_config_template.toml

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SengokuCola 2025-12-29 22:08:33 +08:00
parent 3dbb53b73c
commit 728b6062d4
1 changed files with 9 additions and 9 deletions
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template/model_config_template.toml
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@ -140,45 +140,45 @@ model_list = ["siliconflow-deepseek-v3.2"] # 使用的模型列表，每个子
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 = 4096 # 最大输出token数 max_tokens = 4096 # 最大输出token数
slow_threshold = 15.0 # 慢请求阈值（秒），模型等待回复时间超过此值会输出警告日志 slow_threshold = 15.0 # 慢请求阈值（秒），模型等待回复时间超过此值会输出警告日志
selection_strategy = "random" # 模型选择策略：random（负载均衡）或 random（随机选择） selection_strategy = "random" # 模型选择策略：balance（负载均衡）或 random（随机选择）
[model_task_config.tool_use] #功能模型，需要使用支持工具调用的模型，请使用较快的小模型（调用量较大） [model_task_config.tool_use] #功能模型，需要使用支持工具调用的模型，请使用较快的小模型（调用量较大）
model_list = ["qwen3-30b","qwen3-next-80b"] model_list = ["qwen3-30b","qwen3-next-80b"]
temperature = 0.7 temperature = 0.7
max_tokens = 1024 max_tokens = 1024
slow_threshold = 10.0 slow_threshold = 10.0
selection_strategy = "random" # 模型选择策略：random（负载均衡）或 random（随机选择） selection_strategy = "random" # 模型选择策略：balance（负载均衡）或 random（随机选择）
[model_task_config.replyer] # 首要回复模型，还用于表达方式学习 [model_task_config.replyer] # 首要回复模型，还用于表达方式学习
model_list = ["siliconflow-deepseek-v3.2","siliconflow-deepseek-v3.2-think","siliconflow-glm-4.6","siliconflow-glm-4.6-think"] model_list = ["siliconflow-deepseek-v3.2","siliconflow-deepseek-v3.2-think","siliconflow-glm-4.6","siliconflow-glm-4.6-think"]
temperature = 0.3 # 模型温度，新V3建议0.1-0.3 temperature = 0.3 # 模型温度，新V3建议0.1-0.3
max_tokens = 2048 max_tokens = 2048
slow_threshold = 25.0 slow_threshold = 25.0
selection_strategy = "random" # 模型选择策略：random（负载均衡）或 random（随机选择） selection_strategy = "random" # 模型选择策略：balance（负载均衡）或 random（随机选择）
[model_task_config.planner] #决策：负责决定麦麦该什么时候回复的模型 [model_task_config.planner] #决策：负责决定麦麦该什么时候回复的模型
model_list = ["siliconflow-deepseek-v3.2"] model_list = ["siliconflow-deepseek-v3.2"]
temperature = 0.3 temperature = 0.3
max_tokens = 800 max_tokens = 800
slow_threshold = 12.0 slow_threshold = 12.0
selection_strategy = "random" # 模型选择策略：random（负载均衡）或 random（随机选择） selection_strategy = "random" # 模型选择策略：balance（负载均衡）或 random（随机选择）
[model_task_config.vlm] # 图像识别模型 [model_task_config.vlm] # 图像识别模型
model_list = ["qwen3-vl-30"] model_list = ["qwen3-vl-30"]
max_tokens = 256 max_tokens = 256
slow_threshold = 15.0 slow_threshold = 15.0
selection_strategy = "random" # 模型选择策略：random（负载均衡）或 random（随机选择） selection_strategy = "random" # 模型选择策略：balance（负载均衡）或 random（随机选择）
[model_task_config.voice] # 语音识别模型 [model_task_config.voice] # 语音识别模型
model_list = ["sensevoice-small"] model_list = ["sensevoice-small"]
slow_threshold = 12.0 slow_threshold = 12.0
selection_strategy = "random" # 模型选择策略：random（负载均衡）或 random（随机选择） selection_strategy = "random" # 模型选择策略：balance（负载均衡）或 random（随机选择）
# 嵌入模型 # 嵌入模型
[model_task_config.embedding] [model_task_config.embedding]
model_list = ["bge-m3"] model_list = ["bge-m3"]
slow_threshold = 5.0 slow_threshold = 5.0
selection_strategy = "random" # 模型选择策略：random（负载均衡）或 random（随机选择） selection_strategy = "random" # 模型选择策略：balance（负载均衡）或 random（随机选择）
# ------------LPMM知识库模型------------ # ------------LPMM知识库模型------------
@ -187,11 +187,11 @@ model_list = ["siliconflow-deepseek-v3.2"]
temperature = 0.2 temperature = 0.2
max_tokens = 800 max_tokens = 800
slow_threshold = 20.0 slow_threshold = 20.0
selection_strategy = "random" # 模型选择策略：random（负载均衡）或 random（随机选择） selection_strategy = "random" # 模型选择策略：balance（负载均衡）或 random（随机选择）
[model_task_config.lpmm_rdf_build] # RDF构建模型 [model_task_config.lpmm_rdf_build] # RDF构建模型
model_list = ["siliconflow-deepseek-v3.2"] model_list = ["siliconflow-deepseek-v3.2"]
temperature = 0.2 temperature = 0.2
max_tokens = 800 max_tokens = 800
slow_threshold = 20.0 slow_threshold = 20.0
selection_strategy = "random" # 模型选择策略：random（负载均衡）或 random（随机选择） selection_strategy = "random" # 模型选择策略：balance（负载均衡）或 random（随机选择）