Chat template from @phoebdroid. You can read about the unfortunate circumstances that forced me to recreate this model under https://huggingface.co/mradermacher/model_requests/discussions/1362. To get the full picture you will need to look at the edit history of his messages.
A hybrid model with the ability to enable step-by-step thinking, for each response, depending on the complexity of the prompt and enhanced tool calling support.
The following chat template is embedded within this model to enable hybrid reasoning:
{%- if tools %}
{{- '<|im_start|>system\n' }}
{%- if messages[0].role == 'system' %}
{{- 'You are Qwen3 30B Hybrid Auto\n' + messages[0].content }}
{%- endif %}
{{- "\n\n# Important Guidelines:" }}
{{- "\n* You have the ability to enable step-by-step thinking, for each response, depending on the complexity of the query. For complex tasks and challenging queries you must enable step-by-step thinking." }}
{{- "\n* To enable step-by-step thinking, you must use <think> XML tag at the beginning of generation. This will enable thinking. At the end of your thinking you must use </think> XML tag, and after that deliver your final answer to the user. " }}
{{- "\n* If you use any spaces inside these tags, thinking will fail. Make sure to never use spaces inside the tags. " }}
{{- "\n\n# Tools\n\nUpon user request you may call one or more of the following tools. \nYou are provided with the tool signatures within <tools></tools> XML tags:\n<tools>" }}
{%- for tool in tools %}
{{- "\n" }}
{{- tool | tojson }}
{%- endfor %}
{{- "\n</tools>\n\nFor each tool call, return a json object with tool name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <tool-name>, \"arguments\": <args-json-object>}\n</tool_call>" }}
{{- "\nBy default you have 5 tool-turns within a single assistant turn, if you ever need to chain more than 5 tools back-to-back, in a single turn, you need to first use turn_enabler to add more turns." }}
{{- "\nRemember, tool_enabler itself will consume one tool-turn (it can enable multiple tools at once if needed). This means by default, you can call tool_enabler + 4 more tools in a single assistant turn." }}
{{- "<|im_end|>\n" }}
{%- else %}
{%- if messages[0].role == 'system' %}
{{- '<|im_start|>system\n' }}
{{- 'You are Qwen3 30B Hybrid Auto\n' + messages[0].content }}
{{- "\n\n# Important Guidelines:" }}
{{- "\n* You have the ability to enable step-by-step thinking, for each response, depending on the complexity of the query. For complex tasks and challenging queries you must enable step-by-step thinking." }}
{{- "\n* To enable step-by-step thinking, you must use <think> XML tag at the beginning of generation. This will enable thinking. At the end of your thinking you must use </think> XML tag, and after that deliver your final answer to the user. " }}
{{- "\n* If you use any spaces inside these tags, thinking will fail. Make sure to never use spaces inside the tags. " }}
{{- '<|im_end|>\n' }}
{%- endif %}
{%- endif %}
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
{%- for message in messages[::-1] %}
{%- set index = (messages|length - 1) - loop.index0 %}
{%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
{%- set ns.multi_step_tool = false %}
{%- set ns.last_query_index = index %}
{%- endif %}
{%- endfor %}
{%- for message in messages %}
{%- if message.content is string %}
{%- set content = message.content %}
{%- else %}
{%- set content = '' %}
{%- endif %}
{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
{%- elif message.role == "assistant" %}
{%- set reasoning_content = '' %}
{%- if message.reasoning_content is string %}
{%- set reasoning_content = message.reasoning_content %}
{%- else %}
{%- if '</think>' in content %}
{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
{%- endif %}
{%- endif %}
{%- if loop.index0 > ns.last_query_index %}
{%- if loop.last or (not loop.last and reasoning_content) %}
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
{%- else %}
{{- '<|im_start|>' + message.role + '\n' + content }}
{%- endif %}
{%- else %}
{{- '<|im_start|>' + message.role + '\n' + content }}
{%- endif %}
{%- if message.tool_calls %}
{%- for tool_call in message.tool_calls %}
{%- if (loop.first and content) or (not loop.first) %}
{{- '\n' }}
{%- endif %}
{%- if tool_call.function %}
{%- set tool_call = tool_call.function %}
{%- endif %}
{{- '<tool_call>\n{"name": "' }}
{{- tool_call.name }}
{{- '", "arguments": ' }}
{%- if tool_call.arguments is string %}
{{- tool_call.arguments }}
{%- else %}
{{- tool_call.arguments | tojson }}
{%- endif %}
{{- '}\n</tool_call>' }}
{%- endfor %}
{%- endif %}
{{- '<|im_end|>\n' }}
{%- elif message.role == "tool" %}
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
{{- '<|im_start|>tool' }}
{%- endif %}
{{- '\n<tool_response>\n' }}
{{- content }}
{{- '\n</tool_response>' }}
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
{{- '<|im_end|>\n' }}
{%- endif %}
{%- endif %}
{%- endfor %}
{%- if add_generation_prompt %}
{{- '<|im_start|>assistant\n' }}
{%- endif %}
{%- if tools %}
Qwen3-30B-A3B-YOYO
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the TIES merge method using Qwen/Qwen3-30B-A3B-Base as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
models:
- model: Qwen/Qwen3-30B-A3B
parameters:
density: 0.5
weight: 1
lambda: 0.9
merge_method: ties
base_model: Qwen/Qwen3-30B-A3B-Base
parameters:
density: 1
weight: 1
lambda: 0.9
normalize: true
int8_mask: true
dtype: bfloat16
tokenizer_source: Qwen/Qwen3-30B-A3B