Add files using upload-large-folder tool
Browse files- .gitattributes +1 -0
- README.md +41 -0
- chat_template.jinja +154 -0
- config.json +93 -0
- generation_config.json +6 -0
- model.safetensors +3 -0
- model.safetensors.index.json +935 -0
- tokenizer.json +3 -0
- tokenizer_config.json +32 -0
.gitattributes
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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@@ -0,0 +1,41 @@
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---
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license: apache-2.0
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base_model: osirisbrain/OsirisCortex-v6
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tags:
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- abliteration
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- uncensored
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- qwen3.5
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- osiris
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- agi
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- mlx
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pipeline_tag: text-generation
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library_name: mlx
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---
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# osirisbrain/osiristhinkers
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This model [osirisbrain/osiristhinkers](https://huggingface.co/osirisbrain/osiristhinkers) was
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converted to MLX format from [osirisbrain/OsirisCortex-v6](https://huggingface.co/osirisbrain/OsirisCortex-v6)
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using mlx-lm version **0.30.7**.
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## Use with mlx
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```bash
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pip install mlx-lm
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```
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```python
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from mlx_lm import load, generate
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model, tokenizer = load("osirisbrain/osiristhinkers")
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prompt = "hello"
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if tokenizer.chat_template is not None:
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messages = [{"role": "user", "content": prompt}]
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prompt = tokenizer.apply_chat_template(
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messages, add_generation_prompt=True, return_dict=False,
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)
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response = generate(model, tokenizer, prompt=prompt, verbose=True)
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```
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chat_template.jinja
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{%- set image_count = namespace(value=0) %}
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{%- set video_count = namespace(value=0) %}
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{%- macro render_content(content, do_vision_count, is_system_content=false) %}
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{%- if content is string %}
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{{- content }}
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{%- elif content is iterable and content is not mapping %}
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{%- for item in content %}
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{%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
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{%- if is_system_content %}
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{{- raise_exception('System message cannot contain images.') }}
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{%- endif %}
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{%- if do_vision_count %}
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{%- set image_count.value = image_count.value + 1 %}
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{%- endif %}
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{%- if add_vision_id %}
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{{- 'Picture ' ~ image_count.value ~ ': ' }}
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{%- endif %}
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{{- '<|vision_start|><|image_pad|><|vision_end|>' }}
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{%- elif 'video' in item or item.type == 'video' %}
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{%- if is_system_content %}
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{{- raise_exception('System message cannot contain videos.') }}
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{%- endif %}
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{%- if do_vision_count %}
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{%- set video_count.value = video_count.value + 1 %}
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{%- endif %}
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{%- if add_vision_id %}
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{{- 'Video ' ~ video_count.value ~ ': ' }}
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{%- endif %}
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{{- '<|vision_start|><|video_pad|><|vision_end|>' }}
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{%- elif 'text' in item %}
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{{- item.text }}
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{%- else %}
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{{- raise_exception('Unexpected item type in content.') }}
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{%- endif %}
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{%- endfor %}
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{%- elif content is none or content is undefined %}
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{{- '' }}
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{%- else %}
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{{- raise_exception('Unexpected content type.') }}
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{%- endif %}
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{%- endmacro %}
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{%- if not messages %}
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{{- raise_exception('No messages provided.') }}
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{%- endif %}
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{%- if tools and tools is iterable and tools is not mapping %}
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{{- '<|im_start|>system\n' }}
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{{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\n</tools>" }}
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{{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }}
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{%- if messages[0].role == 'system' %}
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{%- set content = render_content(messages[0].content, false, true)|trim %}
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{%- if content %}
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{{- '\n\n' + content }}
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{%- endif %}
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{%- endif %}
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{{- '<|im_end|>\n' }}
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{%- else %}
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{%- if messages[0].role == 'system' %}
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{%- set content = render_content(messages[0].content, false, true)|trim %}
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{{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
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{%- endif %}
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| 66 |
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{%- endif %}
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{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
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{%- for message in messages[::-1] %}
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{%- set index = (messages|length - 1) - loop.index0 %}
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{%- if ns.multi_step_tool and message.role == "user" %}
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{%- set content = render_content(message.content, false)|trim %}
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{%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
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{%- set ns.multi_step_tool = false %}
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| 74 |
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{%- set ns.last_query_index = index %}
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| 75 |
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{%- endif %}
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{%- endif %}
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{%- endfor %}
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| 78 |
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{%- if ns.multi_step_tool %}
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| 79 |
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{{- raise_exception('No user query found in messages.') }}
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| 80 |
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{%- endif %}
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| 81 |
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{%- for message in messages %}
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| 82 |
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{%- set content = render_content(message.content, true)|trim %}
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| 83 |
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{%- if message.role == "system" %}
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| 84 |
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{%- if not loop.first %}
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| 85 |
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{{- raise_exception('System message must be at the beginning.') }}
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| 86 |
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{%- endif %}
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| 87 |
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{%- elif message.role == "user" %}
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| 88 |
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{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
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| 89 |
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{%- elif message.role == "assistant" %}
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| 90 |
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{%- set reasoning_content = '' %}
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| 91 |
+
{%- if message.reasoning_content is string %}
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| 92 |
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{%- set reasoning_content = message.reasoning_content %}
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| 93 |
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{%- else %}
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| 94 |
+
{%- if '</think>' in content %}
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| 95 |
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{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
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| 96 |
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{%- set content = content.split('</think>')[-1].lstrip('\n') %}
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| 97 |
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{%- endif %}
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| 98 |
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{%- endif %}
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| 99 |
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{%- set reasoning_content = reasoning_content|trim %}
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| 100 |
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{%- if loop.index0 > ns.last_query_index %}
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| 101 |
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{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
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| 102 |
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{%- else %}
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| 103 |
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{{- '<|im_start|>' + message.role + '\n' + content }}
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| 104 |
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{%- endif %}
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| 105 |
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{%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
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| 106 |
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{%- for tool_call in message.tool_calls %}
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| 107 |
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{%- if tool_call.function is defined %}
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| 108 |
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{%- set tool_call = tool_call.function %}
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| 109 |
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{%- endif %}
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| 110 |
+
{%- if loop.first %}
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| 111 |
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{%- if content|trim %}
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| 112 |
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{{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
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| 113 |
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{%- else %}
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| 114 |
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{{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
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| 115 |
+
{%- endif %}
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| 116 |
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{%- else %}
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| 117 |
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{{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
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| 118 |
+
{%- endif %}
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| 119 |
+
{%- if tool_call.arguments is defined %}
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| 120 |
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{%- for args_name, args_value in tool_call.arguments|items %}
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| 121 |
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{{- '<parameter=' + args_name + '>\n' }}
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| 122 |
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{%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
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| 123 |
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{{- args_value }}
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| 124 |
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{{- '\n</parameter>\n' }}
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| 125 |
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{%- endfor %}
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| 126 |
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{%- endif %}
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| 127 |
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{{- '</function>\n</tool_call>' }}
|
| 128 |
+
{%- endfor %}
|
| 129 |
+
{%- endif %}
|
| 130 |
+
{{- '<|im_end|>\n' }}
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| 131 |
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{%- elif message.role == "tool" %}
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| 132 |
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{%- if loop.previtem and loop.previtem.role != "tool" %}
|
| 133 |
+
{{- '<|im_start|>user' }}
|
| 134 |
+
{%- endif %}
|
| 135 |
+
{{- '\n<tool_response>\n' }}
|
| 136 |
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{{- content }}
|
| 137 |
+
{{- '\n</tool_response>' }}
|
| 138 |
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{%- if not loop.last and loop.nextitem.role != "tool" %}
|
| 139 |
+
{{- '<|im_end|>\n' }}
|
| 140 |
+
{%- elif loop.last %}
|
| 141 |
+
{{- '<|im_end|>\n' }}
|
| 142 |
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{%- endif %}
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| 143 |
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{%- else %}
|
| 144 |
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{{- raise_exception('Unexpected message role.') }}
|
| 145 |
+
{%- endif %}
|
| 146 |
+
{%- endfor %}
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| 147 |
+
{%- if add_generation_prompt %}
|
| 148 |
+
{{- '<|im_start|>assistant\n' }}
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| 149 |
+
{%- if enable_thinking is defined and enable_thinking is false %}
|
| 150 |
+
{{- '<think>\n\n</think>\n\n' }}
|
| 151 |
+
{%- else %}
|
| 152 |
+
{{- '<think>\n' }}
|
| 153 |
+
{%- endif %}
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| 154 |
+
{%- endif %}
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config.json
ADDED
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@@ -0,0 +1,93 @@
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|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3_5ForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_bias": false,
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"attn_output_gate": true,
|
| 8 |
+
"bos_token_id": null,
|
| 9 |
+
"dtype": "bfloat16",
|
| 10 |
+
"eos_token_id": 248044,
|
| 11 |
+
"full_attention_interval": 4,
|
| 12 |
+
"head_dim": 256,
|
| 13 |
+
"hidden_act": "silu",
|
| 14 |
+
"hidden_size": 4096,
|
| 15 |
+
"initializer_range": 0.02,
|
| 16 |
+
"intermediate_size": 12288,
|
| 17 |
+
"layer_types": [
|
| 18 |
+
"linear_attention",
|
| 19 |
+
"linear_attention",
|
| 20 |
+
"linear_attention",
|
| 21 |
+
"full_attention",
|
| 22 |
+
"linear_attention",
|
| 23 |
+
"linear_attention",
|
| 24 |
+
"linear_attention",
|
| 25 |
+
"full_attention",
|
| 26 |
+
"linear_attention",
|
| 27 |
+
"linear_attention",
|
| 28 |
+
"linear_attention",
|
| 29 |
+
"full_attention",
|
| 30 |
+
"linear_attention",
|
| 31 |
+
"linear_attention",
|
| 32 |
+
"linear_attention",
|
| 33 |
+
"full_attention",
|
| 34 |
+
"linear_attention",
|
| 35 |
+
"linear_attention",
|
| 36 |
+
"linear_attention",
|
| 37 |
+
"full_attention",
|
| 38 |
+
"linear_attention",
|
| 39 |
+
"linear_attention",
|
| 40 |
+
"linear_attention",
|
| 41 |
+
"full_attention",
|
| 42 |
+
"linear_attention",
|
| 43 |
+
"linear_attention",
|
| 44 |
+
"linear_attention",
|
| 45 |
+
"full_attention",
|
| 46 |
+
"linear_attention",
|
| 47 |
+
"linear_attention",
|
| 48 |
+
"linear_attention",
|
| 49 |
+
"full_attention"
|
| 50 |
+
],
|
| 51 |
+
"linear_conv_kernel_dim": 4,
|
| 52 |
+
"linear_key_head_dim": 128,
|
| 53 |
+
"linear_num_key_heads": 16,
|
| 54 |
+
"linear_num_value_heads": 32,
|
| 55 |
+
"linear_value_head_dim": 128,
|
| 56 |
+
"mamba_ssm_dtype": "float32",
|
| 57 |
+
"max_position_embeddings": 262144,
|
| 58 |
+
"mlp_only_layers": [],
|
| 59 |
+
"model_type": "qwen3_5",
|
| 60 |
+
"mtp_num_hidden_layers": 1,
|
| 61 |
+
"mtp_use_dedicated_embeddings": false,
|
| 62 |
+
"num_attention_heads": 16,
|
| 63 |
+
"num_hidden_layers": 32,
|
| 64 |
+
"num_key_value_heads": 4,
|
| 65 |
+
"pad_token_id": null,
|
| 66 |
+
"partial_rotary_factor": 0.25,
|
| 67 |
+
"quantization": {
|
| 68 |
+
"group_size": 64,
|
| 69 |
+
"bits": 4,
|
| 70 |
+
"mode": "affine"
|
| 71 |
+
},
|
| 72 |
+
"quantization_config": {
|
| 73 |
+
"group_size": 64,
|
| 74 |
+
"bits": 4,
|
| 75 |
+
"mode": "affine"
|
| 76 |
+
},
|
| 77 |
+
"rms_norm_eps": 1e-06,
|
| 78 |
+
"rope_parameters": {
|
| 79 |
+
"mrope_interleaved": true,
|
| 80 |
+
"mrope_section": [
|
| 81 |
+
11,
|
| 82 |
+
11,
|
| 83 |
+
10
|
| 84 |
+
],
|
| 85 |
+
"partial_rotary_factor": 0.25,
|
| 86 |
+
"rope_theta": 10000000,
|
| 87 |
+
"type": "default"
|
| 88 |
+
},
|
| 89 |
+
"tie_word_embeddings": false,
|
| 90 |
+
"transformers_version": "5.3.0.dev0",
|
| 91 |
+
"use_cache": true,
|
| 92 |
+
"vocab_size": 248320
|
| 93 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"eos_token_id": 248044,
|
| 4 |
+
"transformers_version": "5.3.0.dev0",
|
| 5 |
+
"use_cache": true
|
| 6 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:69d42d310d14210b49740b4d73517bdfefaa0009b2758137be179af7aa02ae4c
|
| 3 |
+
size 5038160953
|
model.safetensors.index.json
ADDED
|
@@ -0,0 +1,935 @@
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|
| 898 |
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|
| 899 |
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|
| 900 |
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"language_model.model.layers.8.mlp.up_proj.scales": "model.safetensors",
|
| 901 |
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"language_model.model.layers.8.mlp.up_proj.weight": "model.safetensors",
|
| 902 |
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"language_model.model.layers.8.post_attention_layernorm.weight": "model.safetensors",
|
| 903 |
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|
| 904 |
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"language_model.model.layers.9.linear_attn.A_log": "model.safetensors",
|
| 905 |
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|
| 906 |
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|
| 907 |
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"language_model.model.layers.9.linear_attn.in_proj_a.biases": "model.safetensors",
|
| 908 |
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"language_model.model.layers.9.linear_attn.in_proj_a.scales": "model.safetensors",
|
| 909 |
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"language_model.model.layers.9.linear_attn.in_proj_a.weight": "model.safetensors",
|
| 910 |
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"language_model.model.layers.9.linear_attn.in_proj_b.biases": "model.safetensors",
|
| 911 |
+
"language_model.model.layers.9.linear_attn.in_proj_b.scales": "model.safetensors",
|
| 912 |
+
"language_model.model.layers.9.linear_attn.in_proj_b.weight": "model.safetensors",
|
| 913 |
+
"language_model.model.layers.9.linear_attn.in_proj_qkv.biases": "model.safetensors",
|
| 914 |
+
"language_model.model.layers.9.linear_attn.in_proj_qkv.scales": "model.safetensors",
|
| 915 |
+
"language_model.model.layers.9.linear_attn.in_proj_qkv.weight": "model.safetensors",
|
| 916 |
+
"language_model.model.layers.9.linear_attn.in_proj_z.biases": "model.safetensors",
|
| 917 |
+
"language_model.model.layers.9.linear_attn.in_proj_z.scales": "model.safetensors",
|
| 918 |
+
"language_model.model.layers.9.linear_attn.in_proj_z.weight": "model.safetensors",
|
| 919 |
+
"language_model.model.layers.9.linear_attn.norm.weight": "model.safetensors",
|
| 920 |
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"language_model.model.layers.9.linear_attn.out_proj.biases": "model.safetensors",
|
| 921 |
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"language_model.model.layers.9.linear_attn.out_proj.scales": "model.safetensors",
|
| 922 |
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"language_model.model.layers.9.linear_attn.out_proj.weight": "model.safetensors",
|
| 923 |
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"language_model.model.layers.9.mlp.down_proj.biases": "model.safetensors",
|
| 924 |
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"language_model.model.layers.9.mlp.down_proj.scales": "model.safetensors",
|
| 925 |
+
"language_model.model.layers.9.mlp.down_proj.weight": "model.safetensors",
|
| 926 |
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"language_model.model.layers.9.mlp.gate_proj.biases": "model.safetensors",
|
| 927 |
+
"language_model.model.layers.9.mlp.gate_proj.scales": "model.safetensors",
|
| 928 |
+
"language_model.model.layers.9.mlp.gate_proj.weight": "model.safetensors",
|
| 929 |
+
"language_model.model.layers.9.mlp.up_proj.biases": "model.safetensors",
|
| 930 |
+
"language_model.model.layers.9.mlp.up_proj.scales": "model.safetensors",
|
| 931 |
+
"language_model.model.layers.9.mlp.up_proj.weight": "model.safetensors",
|
| 932 |
+
"language_model.model.layers.9.post_attention_layernorm.weight": "model.safetensors",
|
| 933 |
+
"language_model.model.norm.weight": "model.safetensors"
|
| 934 |
+
}
|
| 935 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:87a7830d63fcf43bf241c3c5242e96e62dd3fdc29224ca26fed8ea333db72de4
|
| 3 |
+
size 19989343
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"audio_bos_token": "<|audio_start|>",
|
| 4 |
+
"audio_eos_token": "<|audio_end|>",
|
| 5 |
+
"audio_token": "<|audio_pad|>",
|
| 6 |
+
"backend": "tokenizers",
|
| 7 |
+
"bos_token": null,
|
| 8 |
+
"clean_up_tokenization_spaces": false,
|
| 9 |
+
"eos_token": "<|im_end|>",
|
| 10 |
+
"errors": "replace",
|
| 11 |
+
"image_token": "<|image_pad|>",
|
| 12 |
+
"is_local": true,
|
| 13 |
+
"model_max_length": 262144,
|
| 14 |
+
"model_specific_special_tokens": {
|
| 15 |
+
"audio_bos_token": "<|audio_start|>",
|
| 16 |
+
"audio_eos_token": "<|audio_end|>",
|
| 17 |
+
"audio_token": "<|audio_pad|>",
|
| 18 |
+
"image_token": "<|image_pad|>",
|
| 19 |
+
"video_token": "<|video_pad|>",
|
| 20 |
+
"vision_bos_token": "<|vision_start|>",
|
| 21 |
+
"vision_eos_token": "<|vision_end|>"
|
| 22 |
+
},
|
| 23 |
+
"pad_token": "<|endoftext|>",
|
| 24 |
+
"pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
|
| 25 |
+
"split_special_tokens": false,
|
| 26 |
+
"tokenizer_class": "TokenizersBackend",
|
| 27 |
+
"tool_parser_type": "qwen3_coder",
|
| 28 |
+
"unk_token": null,
|
| 29 |
+
"video_token": "<|video_pad|>",
|
| 30 |
+
"vision_bos_token": "<|vision_start|>",
|
| 31 |
+
"vision_eos_token": "<|vision_end|>"
|
| 32 |
+
}
|