wehub-resource-sync
57 lines
2.0 KiB
YAML
57 lines
2.0 KiB
YAML
config_file: |
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backend: llama-cpp
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context_size: 4096
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f16: true
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known_usecases:
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- chat
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mmap: true
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stopwords:
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- <|im_end|>
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- <dummy32000>
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- </s>
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- <|endoftext|>
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function:
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# LFM2 Pythonic tool-call syntax: <|tool_call_start|>[name(k="v", ...)]<|tool_call_end|>
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# Mirrors common_chat_params_init_lfm2 in llama.cpp/common/chat.cpp.
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response_regex:
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- '<\|tool_call_start\|>\[(?P<name>\w+)\((?P<arguments>.*?)\)\]<\|tool_call_end\|>'
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argument_regex:
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- '(?P<key>\w+)\s*=\s*"(?P<value>[^"]*)"'
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- '(?P<key>\w+)\s*=\s*(?P<value>-?\d+(?:\.\d+)?|true|false|null)'
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argument_regex_key_name: key
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argument_regex_value_name: value
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template:
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chat: |
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{{.Input -}}
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<|im_start|>assistant
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chat_message: |
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<|im_start|>{{ .RoleName }}
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{{ if .FunctionCall -}}
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<|tool_call_start|>
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{{ else if eq .RoleName "tool" -}}
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<|tool_response_start|>
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{{ end -}}
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{{ if .Content -}}
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{{.Content }}
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{{ end -}}
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{{ if eq .RoleName "tool" -}}
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<|tool_response_end|>
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{{ end -}}
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{{ if .FunctionCall -}}
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{{toJson .FunctionCall}}
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{{ end -}}<|im_end|>
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completion: |
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{{.Input}}
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function: |
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<|im_start|>system
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You are a function calling AI model. You are provided with functions to execute. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions.
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List of tools: <|tool_list_start|>[
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{{range .Functions}}
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{'type': 'function', 'function': {'name': '{{.Name}}', 'description': '{{.Description}}', 'parameters': {{toJson .Parameters}} }}
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{{end}}
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]<|tool_list_end|>
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<|im_end|>
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{{.Input -}}
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<|im_start|>assistant
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name: lfm
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