Needs Qwen chat template
FYI. This is a Qwen fine tune and needs the Qwen chat template, not the one listed in the model card.
{{- if .Suffix }}<|fim_prefix|>{{ .Prompt }}<|fim_suffix|>{{ .Suffix }}<|fim_middle|>
{{- else if .Messages }}
{{- if or .System .Tools }}<|im_start|>system
{{- if .System }}
{{ .System }}
{{- end }}
{{- if .Tools }}
Tools
You may call one or more functions to assist with the user query.
You are provided with function signatures within XML tags:
{{- range .Tools }}
{"type": "function", "function": {{ .Function }}}
{{- end }}
For each function call, return a json object with function name and arguments within XML tags:
{"name": , "arguments": }
{{- end }}<|im_end|>
{{ end }}
{{- range $i, $_ := .Messages }}
{{- $last := eq (len (slice $.Messages $i)) 1 -}}
{{- if eq .Role "user" }}<|im_start|>user
{{ .Content }}<|im_end|>
{{ else if eq .Role "assistant" }}<|im_start|>assistant
{{ if .Content }}{{ .Content }}
{{- else if .ToolCalls }}
{{ range .ToolCalls }}{"name": "{{ .Function.Name }}", "arguments": {{ .Function.Arguments }}}
{{ end }}
{{- end }}{{ if not $last }}<|im_end|>
{{ end }}
{{- else if eq .Role "tool" }}<|im_start|>user
{{ .Content }}
<|im_end|>
{{ end }}
{{- if and (ne .Role "assistant") $last }}<|im_start|>assistant
{{ end }}
{{- end }}
{{- else }}
{{- if .System }}<|im_start|>system
{{ .System }}<|im_end|>
{{ end }}{{ if .Prompt }}<|im_start|>user
{{ .Prompt }}<|im_end|>
{{ end }}<|im_start|>assistant
{{ end }}{{ .Response }}{{ if .Response }}<|im_end|>{{ end }}
Here's my Ollama modelfile w/ the Marco o1 system prompt text baked in based on the definition in the original tokenizer_config.json
and preconfigured to 128k context length. I did try the a translated English variant but its performance was much worse. In very few tests with English prompts it does not change language.
Obligatory "strawberry problem" solution from Open WebUI:
marco-o1:7b-128k-instruct-preset-system-q8_0.modelfile
:
# Modelfile generated by "ollama show"
# To build a new Modelfile based on this, replace FROM with:
# FROM qwen2.5-coder:7b-instruct-q8_0
FROM ./Marco-o1-Q8_0.gguf
TEMPLATE """{{- if .Suffix }}<|fim_prefix|>{{ .Prompt }}<|fim_suffix|>{{ .Suffix }}<|fim_middle|>
{{- else if .Messages }}
<|im_start|>system
你是一个经过良好训练的AI助手,你的名字是Marco-o1.由阿里国际数字商业集团的AI Business创造.
## 重要!!!!!
当你回答问题时,你的思考应该在<Thought>内完成,<Output>内输出你的结果。
<Thought>应该尽可能是英文,但是有2个特例,一个是对原文中的引用,另一个是是数学应该使用markdown格式,<Output>内的输出需要遵循用户输入的语言。
{{- if .Tools }}
# Tools
You may call one or more functions to assist with the user query.
You are provided with function signatures within <tools></tools> XML tags:
<tools>
{{- range .Tools }}
{"type": "function", "function": {{ .Function }}}
{{- end }}
</tools>
For each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:
<tool_call>
{"name": <function-name>, "arguments": <args-json-object>}
</tool_call>
{{- end }}<|im_end|>
{{- range $i, $_ := .Messages }}
{{- $last := eq (len (slice $.Messages $i)) 1 -}}
{{- if eq .Role "user" }}<|im_start|>user
{{ .Content }}<|im_end|>
{{ else if eq .Role "assistant" }}<|im_start|>assistant
{{ if .Content }}{{ .Content }}
{{- else if .ToolCalls }}<tool_call>
{{ range .ToolCalls }}{"name": "{{ .Function.Name }}", "arguments": {{ .Function.Arguments }}}
{{ end }}</tool_call>
{{- end }}{{ if not $last }}<|im_end|>
{{ end }}
{{- else if eq .Role "tool" }}<|im_start|>user
<tool_response>
{{ .Content }}
</tool_response><|im_end|>
{{ end }}
{{- if and (ne .Role "assistant") $last }}<|im_start|>assistant
{{ end }}
{{- end }}
{{- else }}
{{- if .System }}<|im_start|>system
{{ .System }}<|im_end|>
{{ end }}{{ if .Prompt }}<|im_start|>user
{{ .Prompt }}<|im_end|>
{{ end }}<|im_start|>assistant
{{ end }}{{ .Response }}{{ if .Response }}<|im_end|>{{ end }}"""
PARAMETER num_ctx 131072
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Many thanks, jmfirth
I tried to modify the system prompt slightly however it became much dumber. They forgot how to count "r" letters. If I use the default system prompt, it looks smart and calculations were always correct.
interesting...