llama3.2-fcall.yaml

---
name: "llama3.2-fcall"

config_file: |
  mmap: true
  function:
    json_regex_match:
    - "(?s)<Output>(.*?)</Output>"
    capture_llm_results:
      - (?s)<Thought>(.*?)</Thought>
    replace_llm_results:
      - key: (?s)<Thought>(.*?)</Thought>
        value: ""
    grammar:
      properties_order: "name,arguments"
      function_arguments_key: "arguments"
  template:
    chat: |
      <|start_header_id|>system<|end_header_id|>
      You are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>
      {{.Input }}
      <|start_header_id|>assistant<|end_header_id|>
    chat_message: |
      <|start_header_id|>{{if eq .RoleName "assistant"}}assistant{{else if eq .RoleName "system"}}system{{else if eq .RoleName "tool"}}tool{{else if eq .RoleName "user"}}user{{end}}<|end_header_id|>
      {{ if .FunctionCall -}}
      {{ else if eq .RoleName "tool" -}}
      {{ end -}}
      {{ if .Content -}}
      {{.Content -}}
      {{ else if .FunctionCall -}}
      {{ toJson .FunctionCall -}}
      {{ end -}}
      <|eot_id|>
    completion: |
      {{.Input}}
    function: |
      <|start_header_id|>system<|end_header_id|>
      You are an AI assistant that executes function calls, and these are the tools at your disposal:
      {{range .Functions}}
      {'type': 'function', 'function': {'name': '{{.Name}}', 'description': '{{.Description}}', 'parameters': {{toJson .Parameters}} }}
      {{end}}
      <|eot_id|>{{.Input}}<|start_header_id|>assistant<|end_header_id|>
  context_size: 8192
  f16: true
  stopwords:
  - <|im_end|>
  - <dummy32000>
  - "<|eot_id|>"
  - <|end_of_text|>