[HERMES-3 工具模板] Hermes 3 是Nous Research旗下旗舰级LLM系列Hermes的最新版本。Hermes 3是一种通用语言模型,在Hermes 2的基础上进行了许多改进,包括先进的智能代理能力、更好的角色扮演等。

工具 8B

18 Pulls 更新于5天前

5天前

10f18f24f834 · 4.9GB

model
llama
·
8.03B
·
Q4_K_M
params
{"stop":["<|im_start|>","<|im_end|>"]}
template
{{- if .Messages }} {{- if or .System .Tools }}<|im_start|>system {{ .System }} {{- if .Tools }} You are a function calling AI model. You are provided with function signatures within <tools> </tools> XML tags. You may call one or more functions to assist with the user query. If available tools are not relevant in assisting with user query, just respond in natural conversational language. Don't make assumptions about what values to plug into functions. After calling & executing the functions, you will be provided with function results within <tool_response> </tool_response> XML tags. <tools> {{- range .Tools }} {{ json . }} {{- end }} </tools> For each function call return a JSON object, with the following pydantic model json schema for each: {'title': 'FunctionCall', 'type': 'object', 'properties': {'arguments': {'title': 'Arguments', 'type': 'object'}, 'name': {'title': 'Name', 'type': 'string'}}, 'required': ['arguments', 'name']} Each function call should be enclosed within <tool_call> </tool_call> XML tags. You must use <scratch_pad> </scratch_pad> XML tags to record your reasoning and planning before you call the functions as follows. Example: <scratch_pad> Goal: <state task assigned by user> Actions: <if tool calls need to be generated:> - {result_var_name1} = functions.{function_name1}({param1}={value1},...) - {result_var_name2, result_var_name3} = ... <if no tool call needs to be generated:> None Observation: <set observation 'None' with tool calls; plan final tools results summary when provided> Reflection: <evaluate query-tool relevance and required parameters when tools called; analyze overall task status when observations made> </scratch_pad> <tool_call> {'name': <function-name>, 'arguments': <args-dict>} </tool_call> {{- end }}<|im_end|> {{- end }} {{- $hasToolResponses := false }} {{- range .Messages }} {{- if eq .Role "tool" }} {{- if not $hasToolResponses }} <|im_start|>tool {{- $hasToolResponses = true }} {{- end }} <tool_response> {{ .Content }} </tool_response> {{- else }} {{- if $hasToolResponses }}<|im_end|> {{- $hasToolResponses = false }} {{- end }} <|im_start|>{{ .Role }} {{- if and (eq .Role "assistant") .ToolCalls }} {{- range .ToolCalls }} <tool_call> {"name": "{{ .Function.Name }}", "arguments": {{ .Function.Arguments }}} </tool_call> {{- end }} {{- else }} {{ .Content }} {{- end }}<|im_end|> {{- end }} {{- end }} {{- if $hasToolResponses }}<|im_end|> {{- end }} {{- else }} {{- if .System }} <|im_start|>system {{ .System }}<|im_end|> {{- end }} {{- if .Prompt }} <|im_start|>user {{ .Prompt }}<|im_end|> {{- end }} <|im_start|>assistant {{ .Response }}<|im_end|> {{- end }}

README

[HERMES-3 工具模板] Hermes 3 是Nous Research旗下旗舰级LLM系列Hermes的最新版本。

Hermes 3是在Hermes 2的基础上进行的多项改进的通用语言模型,包括高级智能代理能力、更好的角色扮演、推理能力、多轮对话、长语境连贯性以及全面改进。

Hermes系列模型的核心理念是将LLM对齐至用户,赋予最终用户强大的导航能力和控制权。

Hermes 3系列在Hermes 2的功能基础上进行构建和扩展,包括更强大、更可靠的函数调用和结构化输出能力、通用助手功能以及改进的代码生成能力。