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# model_config.yaml - 多模型配置示例
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# 默认启动的模型
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default: "deepseek_r1_distill_qwen_32b_awq"
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# 模型配置
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models:
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deepseek_r1_distill_qwen_14b:
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path: "/model/DeepSeek-R1-Distill-Qwen-14B"
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name: "DeepSeek-R1-Distill-Qwen-14B"
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max_model_len: 8192
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gpu_memory_utilization: 0.9
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port: 2001
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dtype: "float16"
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quantization: "awq"
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tensor_parallel_size: 1
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enforce_eager: true
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api_key: "sk-14b-20240101-abcdef123456"
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deepseek_r1_distill_qwen_32b_awq:
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path: "/model/DeepSeek-R1-Distill-Qwen-32B-AWQ"
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name: "DeepSeek-R1-Distill-Qwen-32B-AWQ"
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# 模型性能参数
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max_model_len: 32768
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gpu_memory_utilization: 0.95
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enforce_eager: true
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max_num_seqs: 2
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max_num_batched_tokens: 1024
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block_size: 16
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tensor_parallel_size: 1
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swap_space: 0
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# 新增:采样参数默认值
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sampling_defaults:
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temperature: 0.6
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max_tokens: 4096
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top_p: 0.9
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frequency_penalty: 0.0
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presence_penalty: 0.0
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stop:
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- "用户:"
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- "助手:"
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- "###"
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- "问题:"
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- "回答:"
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# 其他配置
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dtype: "auto"
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quantization: "awq"
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port: 2001
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api_key: "sk-32b-20240101-ghijk789012"
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glm_4_7_flash_awq:
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path: "/model/GLM-4.7-Flash-AWQ"
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name: "GLM-4.7-Flash-AWQ"
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# 模型性能参数
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max_model_len: 32768
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gpu_memory_utilization: 0.9
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enforce_eager: false
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max_num_seqs: 2
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max_num_batched_tokens: 1024
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block_size: 16
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tensor_parallel_size: 1
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swap_space: 0
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# 新增:采样参数默认值
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sampling_defaults:
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temperature: 0.6
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max_tokens: 4096
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top_p: 0.9
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frequency_penalty: 0.0
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presence_penalty: 0.0
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stop:
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- "用户:"
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- "助手:"
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- "###"
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- "问题:"
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- "回答:"
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# 其他配置
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dtype: "auto"
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quantization: "awq"
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port: 2001
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api_key: "sk-32b-20240101-ghijk789012"
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qwen3_vl_32b_instruct_awq:
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path: "/model/Qwen3-VL-32B-Instruct-AWQ"
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name: "Qwen3-VL-32B-Instruct-AWQ"
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max_model_len: 32768
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gpu_memory_utilization: 0.7
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port: 2001
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dtype: "auto"
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quantization: "awq"
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tensor_parallel_size: 1
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enforce_eager: true
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api_key: "sk-glm-20240101-lmnop345678"
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# 服务器通用设置
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server:
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host: "0.0.0.0"
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log_level: "info"
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# 全局管理员密钥(拥有所有模型的访问权限)
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admin_key: "sk-admin-20240101-xyz789"
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# 允许的请求头名称(支持多个,按顺序检查)
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api_key_headers: ["Authorization", "X-API-Key", "api-key"]
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# 是否允许通过查询参数传递密钥
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allow_query_param: true
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# 查询参数名称
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api_key_param: "api_key"
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