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(Trained with Unsloth)

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+
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+ FROM /content/teyler/TheBuddhaSoul/unsloth.F16.gguf
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+ TEMPLATE """{{ if .Messages }}
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+ {{- if or .System .Tools }}<|start_header_id|>system<|end_header_id|>
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+ {{- if .System }}
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+
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+ {{ .System }}
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+ {{- end }}
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+ {{- if .Tools }}
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+
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+ You are a helpful assistant with tool calling capabilities. When you receive a tool call response, use the output to format an answer to the original use question.
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+ {{- end }}
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+ {{- end }}<|eot_id|>
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+ {{- range $i, $_ := .Messages }}
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+ {{- $last := eq (len (slice $.Messages $i)) 1 }}
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+ {{- if eq .Role "user" }}<|start_header_id|>user<|end_header_id|>
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+ {{- if and $.Tools $last }}
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+
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+ Given the following functions, please respond with a JSON for a function call with its proper arguments that best answers the given prompt.
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+
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+ Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}. Do not use variables.
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+
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+ {{ $.Tools }}
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+ {{- end }}
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+
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+ {{ .Content }}<|eot_id|>{{ if $last }}<|start_header_id|>assistant<|end_header_id|>
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+
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+ {{ end }}
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+ {{- else if eq .Role "assistant" }}<|start_header_id|>assistant<|end_header_id|>
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+ {{- if .ToolCalls }}
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+
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+ {{- range .ToolCalls }}{"name": "{{ .Function.Name }}", "parameters": {{ .Function.Arguments }}}{{ end }}
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+ {{- else }}
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+
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+ {{ .Content }}{{ if not $last }}<|eot_id|>{{ end }}
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+ {{- end }}
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+ {{- else if eq .Role "tool" }}<|start_header_id|>ipython<|end_header_id|>
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+
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+ {{ .Content }}<|eot_id|>{{ if $last }}<|start_header_id|>assistant<|end_header_id|>
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+
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+ {{ end }}
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+ {{- end }}
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+ {{- end }}
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+ {{- else }}
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+ {{- if .System }}<|start_header_id|>system<|end_header_id|>
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+
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+ {{ .System }}<|eot_id|>{{ end }}{{ if .Prompt }}<|start_header_id|>user<|end_header_id|>
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+
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+ {{ .Prompt }}<|eot_id|>{{ end }}<|start_header_id|>assistant<|end_header_id|>
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+
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+ {{ end }}{{ .Response }}{{ if .Response }}<|eot_id|>{{ end }}"""
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+ PARAMETER stop "<|start_header_id|>"
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+ PARAMETER stop "<|end_header_id|>"
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+ PARAMETER stop "<|eot_id|>"
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+ PARAMETER stop "<|eom_id|>"
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+ PARAMETER temperature 1.5
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+ PARAMETER min_p 0.1