hermes3

llama

Meta Llama 3.1 8B

Meta Llama

https://huggingface.co/meta-llama/Meta-Llama-3.1-8B

1

Hermes-3-Llama-3.1

18

[en]

llama3

Hermes 3 Llama 3.1 8B

NousResearch

2

8B

[Llama-3, instruct, finetune, chatml, gpt4, ...]

model

32

8

1e-05

32

131072

4096

14336

128

500000

128256

{%- macro json_to_python_type(json_spec) %} {%- set basic_type_map = { "string": "str", "number": "float", "integer": "int", "boolean": "bool" } %} {%- if basic_type_map[json_spec.type] is defined %} {{- basic_type_map[json_spec.type] }} {%- elif json_spec.type == "array" %} {{- "list[" + json_to_python_type(json_spec|items) + "]"}} {%- elif json_spec.type == "object" %} {%- if json_spec.additionalProperties is defined %} {{- "dict[str, " + json_to_python_type(json_spec.additionalProperties) + ']'}} {%- else %} {{- "dict" }} {%- endif %} {%- elif json_spec.type is iterable %} {{- "Union[" }} {%- for t in json_spec.type %} {{- json_to_python_type({"type": t}) }} {%- if not loop.last %} {{- "," }} {%- endif %} {%- endfor %} {{- "]" }} {%- else %} {{- "Any" }} {%- endif %} {%- endmacro %} {{- bos_token }} {{- "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. Don't make assumptions about what values to plug into functions. Here are the available tools: <tools> " }} {%- for tool in tools %} {%- if tool.function is defined %} {%- set tool = tool.function %} {%- endif %} {{- '{"type": "function", "function": ' }} {{- '{"name": "' + tool.name + '", ' }} {{- '"description": "' + tool.name + '(' }} {%- for param_name, param_fields in tool.parameters.properties|items %} {{- param_name + ": " + json_to_python_type(param_fields) }} {%- if not loop.last %} {{- ", " }} {%- endif %} {%- endfor %} {{- ")" }} {%- if tool.return is defined %} {{- " -> " + json_to_python_type(tool.return) }} {%- endif %} {{- " - " + tool.description + "\n\n" }} {%- for param_name, param_fields in tool.parameters.properties|items %} {%- if loop.first %} {{- " Args:\n" }} {%- endif %} {{- " " + param_name + "(" + json_to_python_type(param_fields) + "): " + param_fields.description|trim }} {%- endfor %} {%- if tool.return is defined and tool.return.description is defined %} {{- "\n Returns:\n " + tool.return.description }} {%- endif %} {{- '"' }} {{- ', "parameters": ' }} {%- if tool.parameters.properties | length == 0 %} {{- "{}" }} {%- else %} {{- tool.parameters|tojson }} {%- endif %} {{- "}" }} {%- if not loop.last %} {{- "\n" }} {%- endif %} {%- endfor %} {{- " </tools>" }} {{- 'Use the following pydantic model json schema for each tool call you will make: {"properties": {"name": {"title": "Name", "type": "string"}, "arguments": {"title": "Arguments", "type": "object"}}, "required": ["name", "arguments"], "title": "FunctionCall", "type": "object"}} ' }} {{- "For each function call return a json object with function name and arguments within <tool_call></tool_call> XML tags as follows: " }} {{- "<tool_call> " }} {{- '{"name": <function-name>, "arguments": <args-dict>} ' }} {{- '</tool_call><|im_end|>' }} {%- for message in messages %} {%- if message.role == "user" or message.role == "system" or (message.role == "assistant" and message.tool_calls is not defined) %} {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }} {%- elif message.role == "assistant" %} {{- '<|im_start|>' + message.role }} {%- for tool_call in message.tool_calls %} {{- ' <tool_call> ' }} {%- if tool_call.function is defined %} {%- set tool_call = tool_call.function %} {%- endif %} {{- '{' }} {{- '"name": "' }} {{- tool_call.name }} {{- '"}' }} {{- ', '}} {%- if tool_call.arguments is defined %} {{- '"arguments": ' }} {{- tool_call.arguments|tojson }} {%- endif %} {{- '\n</tool_call>' }} {%- endfor %} {{- '<|im_end|>\n' }} {%- elif message.role == "tool" %} {%- if not message.name is defined %} {{- raise_exception("Tool response dicts require a 'name' key indicating the name of the called function!") }} {%- endif %} {%- if loop.previtem and loop.previtem.role != "tool" %} {{- '<|im_start|>tool\n' }} {%- endif %} {{- '<tool_response>\n' }} {{- message.content }} {%- if not loop.last %} {{- '\n</tool_response>\n' }} {%- else %} {{- '\n</tool_response>' }} {%- endif %} {%- if not loop.last and loop.nextitem.role != "tool" %} {{- '<|im_end|>' }} {%- elif loop.last %} {{- '<|im_end|>' }} {%- endif %} {%- endif %} {%- endfor %} {%- if add_generation_prompt %} {{- '<|im_start|>assistant\n' }} {%- endif %}

[tool_use]

128000

128040

[Ġ Ġ, Ġ ĠĠĠ, ĠĠ ĠĠ, ĠĠĠ Ġ, i n, ...]

gpt2

128040

llama-bpe

[1, 1, 1, 1, 1, ...]

[!, ", #, $, %, ...]