Zero-Shot Classification
Transformers
Safetensors
English
qwen3_5
feature-extraction
decision-model
calibration
system-1
local
Eval Results
Instructions to use jeff-legacy/Jeff-Qwen3.5-0.8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jeff-legacy/Jeff-Qwen3.5-0.8B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="jeff-legacy/Jeff-Qwen3.5-0.8B")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("jeff-legacy/Jeff-Qwen3.5-0.8B") model = AutoModel.from_pretrained("jeff-legacy/Jeff-Qwen3.5-0.8B", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Model weights (0.8b-20260928-0540)
Browse files- .gitattributes +1 -0
- chat_template.jinja +154 -0
- config.json +105 -0
- decision_config.json +539 -0
- model.safetensors +3 -0
- processor_config.json +61 -0
- readout.safetensors +3 -0
- tokenizer.json +3 -0
- tokenizer_config.json +33 -0
.gitattributes
CHANGED
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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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chat_template.jinja
ADDED
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@@ -0,0 +1,154 @@
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| 1 |
+
{%- set image_count = namespace(value=0) %}
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| 2 |
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{%- set video_count = namespace(value=0) %}
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| 3 |
+
{%- macro render_content(content, do_vision_count, is_system_content=false) %}
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| 4 |
+
{%- if content is string %}
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| 5 |
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{{- content }}
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| 6 |
+
{%- elif content is iterable and content is not mapping %}
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| 7 |
+
{%- for item in content %}
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| 8 |
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{%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
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| 9 |
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{%- if is_system_content %}
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| 10 |
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{{- raise_exception('System message cannot contain images.') }}
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| 11 |
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{%- endif %}
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| 12 |
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{%- if do_vision_count %}
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| 13 |
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{%- set image_count.value = image_count.value + 1 %}
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{%- endif %}
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| 15 |
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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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| 18 |
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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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| 20 |
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{%- if is_system_content %}
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| 21 |
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{{- raise_exception('System message cannot contain videos.') }}
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| 22 |
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{%- endif %}
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| 23 |
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{%- if do_vision_count %}
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| 24 |
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{%- set video_count.value = video_count.value + 1 %}
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| 25 |
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{%- endif %}
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| 26 |
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{%- if add_vision_id %}
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| 27 |
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{{- 'Video ' ~ video_count.value ~ ': ' }}
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| 28 |
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{%- endif %}
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| 29 |
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{{- '<|vision_start|><|video_pad|><|vision_end|>' }}
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| 30 |
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{%- elif 'text' in item %}
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| 31 |
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{{- item.text }}
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| 32 |
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{%- else %}
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| 33 |
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{{- raise_exception('Unexpected item type in content.') }}
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| 34 |
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{%- endif %}
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| 35 |
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{%- endfor %}
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| 36 |
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{%- elif content is none or content is undefined %}
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| 37 |
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{{- '' }}
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| 38 |
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{%- else %}
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| 39 |
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{{- raise_exception('Unexpected content type.') }}
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| 40 |
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{%- endif %}
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| 41 |
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{%- endmacro %}
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| 42 |
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{%- if not messages %}
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| 43 |
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{{- raise_exception('No messages provided.') }}
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| 44 |
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{%- endif %}
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| 45 |
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{%- if tools and tools is iterable and tools is not mapping %}
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| 46 |
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{{- '<|im_start|>system\n' }}
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| 47 |
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{{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
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| 48 |
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{%- for tool in tools %}
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| 49 |
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{{- "\n" }}
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| 50 |
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{{- tool | tojson }}
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| 51 |
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{%- endfor %}
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| 52 |
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{{- "\n</tools>" }}
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| 53 |
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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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| 54 |
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{%- if messages[0].role == 'system' %}
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| 55 |
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{%- set content = render_content(messages[0].content, false, true)|trim %}
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| 56 |
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{%- if content %}
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| 57 |
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{{- '\n\n' + content }}
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| 58 |
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{%- endif %}
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| 59 |
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{%- endif %}
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{{- '<|im_end|>\n' }}
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| 61 |
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{%- else %}
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| 62 |
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{%- if messages[0].role == 'system' %}
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| 63 |
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{%- set content = render_content(messages[0].content, false, true)|trim %}
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| 64 |
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{{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
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| 65 |
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{%- endif %}
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| 66 |
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{%- endif %}
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| 67 |
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{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
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| 68 |
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{%- for message in messages[::-1] %}
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| 69 |
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{%- set index = (messages|length - 1) - loop.index0 %}
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| 70 |
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{%- if ns.multi_step_tool and message.role == "user" %}
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| 71 |
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{%- set content = render_content(message.content, false)|trim %}
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| 72 |
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{%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
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| 73 |
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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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| 76 |
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{%- endif %}
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| 77 |
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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 |
+
{%- endif %}
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| 81 |
+
{%- 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 |
+
{%- 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 |
+
{%- 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 |
+
{%- elif message.role == "assistant" %}
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| 90 |
+
{%- set reasoning_content = '' %}
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| 91 |
+
{%- if message.reasoning_content is string %}
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| 92 |
+
{%- set reasoning_content = message.reasoning_content %}
|
| 93 |
+
{%- else %}
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| 94 |
+
{%- if '</think>' in content %}
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| 95 |
+
{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
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| 96 |
+
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
|
| 97 |
+
{%- endif %}
|
| 98 |
+
{%- endif %}
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| 99 |
+
{%- set reasoning_content = reasoning_content|trim %}
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| 100 |
+
{%- 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 |
+
{%- else %}
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| 103 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
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| 104 |
+
{%- endif %}
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| 105 |
+
{%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
|
| 106 |
+
{%- for tool_call in message.tool_calls %}
|
| 107 |
+
{%- if tool_call.function is defined %}
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| 108 |
+
{%- set tool_call = tool_call.function %}
|
| 109 |
+
{%- endif %}
|
| 110 |
+
{%- if loop.first %}
|
| 111 |
+
{%- if content|trim %}
|
| 112 |
+
{{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 113 |
+
{%- else %}
|
| 114 |
+
{{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 115 |
+
{%- endif %}
|
| 116 |
+
{%- else %}
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| 117 |
+
{{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 118 |
+
{%- endif %}
|
| 119 |
+
{%- if tool_call.arguments is defined %}
|
| 120 |
+
{%- for args_name, args_value in tool_call.arguments|items %}
|
| 121 |
+
{{- '<parameter=' + args_name + '>\n' }}
|
| 122 |
+
{%- 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 %}
|
| 123 |
+
{{- args_value }}
|
| 124 |
+
{{- '\n</parameter>\n' }}
|
| 125 |
+
{%- endfor %}
|
| 126 |
+
{%- endif %}
|
| 127 |
+
{{- '</function>\n</tool_call>' }}
|
| 128 |
+
{%- endfor %}
|
| 129 |
+
{%- endif %}
|
| 130 |
+
{{- '<|im_end|>\n' }}
|
| 131 |
+
{%- elif message.role == "tool" %}
|
| 132 |
+
{%- if loop.previtem and loop.previtem.role != "tool" %}
|
| 133 |
+
{{- '<|im_start|>user' }}
|
| 134 |
+
{%- endif %}
|
| 135 |
+
{{- '\n<tool_response>\n' }}
|
| 136 |
+
{{- content }}
|
| 137 |
+
{{- '\n</tool_response>' }}
|
| 138 |
+
{%- if not loop.last and loop.nextitem.role != "tool" %}
|
| 139 |
+
{{- '<|im_end|>\n' }}
|
| 140 |
+
{%- elif loop.last %}
|
| 141 |
+
{{- '<|im_end|>\n' }}
|
| 142 |
+
{%- endif %}
|
| 143 |
+
{%- else %}
|
| 144 |
+
{{- raise_exception('Unexpected message role.') }}
|
| 145 |
+
{%- endif %}
|
| 146 |
+
{%- endfor %}
|
| 147 |
+
{%- if add_generation_prompt %}
|
| 148 |
+
{{- '<|im_start|>assistant\n' }}
|
| 149 |
+
{%- if enable_thinking is defined and enable_thinking is true %}
|
| 150 |
+
{{- '<think>\n' }}
|
| 151 |
+
{%- else %}
|
| 152 |
+
{{- '<think>\n\n</think>\n\n' }}
|
| 153 |
+
{%- endif %}
|
| 154 |
+
{%- endif %}
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config.json
ADDED
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@@ -0,0 +1,105 @@
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|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3_5Model"
|
| 4 |
+
],
|
| 5 |
+
"dtype": "bfloat16",
|
| 6 |
+
"image_token_id": 248056,
|
| 7 |
+
"model_type": "qwen3_5",
|
| 8 |
+
"text_config": {
|
| 9 |
+
"attention_bias": false,
|
| 10 |
+
"attention_dropout": 0.0,
|
| 11 |
+
"attn_output_gate": true,
|
| 12 |
+
"bos_token_id": null,
|
| 13 |
+
"dtype": "bfloat16",
|
| 14 |
+
"eos_token_id": 248044,
|
| 15 |
+
"full_attention_interval": 4,
|
| 16 |
+
"head_dim": 256,
|
| 17 |
+
"hidden_act": "silu",
|
| 18 |
+
"hidden_size": 1024,
|
| 19 |
+
"initializer_range": 0.02,
|
| 20 |
+
"intermediate_size": 3584,
|
| 21 |
+
"layer_types": [
|
| 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 |
+
],
|
| 47 |
+
"linear_conv_kernel_dim": 4,
|
| 48 |
+
"linear_key_head_dim": 128,
|
| 49 |
+
"linear_num_key_heads": 16,
|
| 50 |
+
"linear_num_value_heads": 16,
|
| 51 |
+
"linear_value_head_dim": 128,
|
| 52 |
+
"mamba_ssm_dtype": "float32",
|
| 53 |
+
"max_position_embeddings": 262144,
|
| 54 |
+
"mlp_only_layers": [],
|
| 55 |
+
"model_type": "qwen3_5_text",
|
| 56 |
+
"mtp_num_hidden_layers": 1,
|
| 57 |
+
"mtp_use_dedicated_embeddings": false,
|
| 58 |
+
"num_attention_heads": 8,
|
| 59 |
+
"num_hidden_layers": 24,
|
| 60 |
+
"num_key_value_heads": 2,
|
| 61 |
+
"pad_token_id": null,
|
| 62 |
+
"partial_rotary_factor": 0.25,
|
| 63 |
+
"rms_norm_eps": 1e-06,
|
| 64 |
+
"rope_parameters": {
|
| 65 |
+
"mrope_interleaved": true,
|
| 66 |
+
"mrope_section": [
|
| 67 |
+
11,
|
| 68 |
+
11,
|
| 69 |
+
10
|
| 70 |
+
],
|
| 71 |
+
"partial_rotary_factor": 0.25,
|
| 72 |
+
"rope_theta": 10000000,
|
| 73 |
+
"rope_type": "default"
|
| 74 |
+
},
|
| 75 |
+
"tie_word_embeddings": true,
|
| 76 |
+
"use_cache": true,
|
| 77 |
+
"vocab_size": 248320
|
| 78 |
+
},
|
| 79 |
+
"tie_word_embeddings": true,
|
| 80 |
+
"transformers_version": "5.17.0",
|
| 81 |
+
"video_token_id": 248057,
|
| 82 |
+
"vision_config": {
|
| 83 |
+
"deepstack_visual_indexes": [],
|
| 84 |
+
"depth": 12,
|
| 85 |
+
"dtype": "bfloat16",
|
| 86 |
+
"hidden_act": "gelu_pytorch_tanh",
|
| 87 |
+
"hidden_size": 768,
|
| 88 |
+
"in_channels": 3,
|
| 89 |
+
"initializer_range": 0.02,
|
| 90 |
+
"intermediate_size": 3072,
|
| 91 |
+
"model_type": "qwen3_5_vision",
|
| 92 |
+
"num_heads": 12,
|
| 93 |
+
"num_position_embeddings": 2304,
|
| 94 |
+
"out_hidden_size": 1024,
|
| 95 |
+
"patch_size": 16,
|
| 96 |
+
"rope_parameters": {
|
| 97 |
+
"rope_theta": 10000.0,
|
| 98 |
+
"rope_type": "axial"
|
| 99 |
+
},
|
| 100 |
+
"spatial_merge_size": 2,
|
| 101 |
+
"temporal_patch_size": 2
|
| 102 |
+
},
|
| 103 |
+
"vision_end_token_id": 248054,
|
| 104 |
+
"vision_start_token_id": 248053
|
| 105 |
+
}
|
decision_config.json
ADDED
|
@@ -0,0 +1,539 @@
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|
|
|
| 1 |
+
{
|
| 2 |
+
"step": 960,
|
| 3 |
+
"provenance": {
|
| 4 |
+
"run": "0.8b-20260928-0540",
|
| 5 |
+
"git_commit": "a095c98f3fd2782bba033b378f7375ecc33c35fa",
|
| 6 |
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"development": "ebcedc3e726548c08da90ff569b94e4822f23312dfc3ea29b93579cfec3016c7",
|
| 7 |
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"temperature": "e735fa4e0df3482752112bc9cdff6af9ddb7be07a0a9f2fb8dd8cf2355042bf6",
|
| 8 |
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"train": "48a4e3adbb9f1c77676133183564e897c254c4555cc97ff8e426d1cd359c06d8",
|
| 9 |
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"train.py": "0fa7bbce1b7e788b34c73ee7046245838563d4f6be9e0194ff4b2e00d3df8a2d",
|
| 10 |
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"model.py": "cbb5c04fe21c696fb019aab06b64273e9bb2489db5dde7a35aed740a375db206",
|
| 11 |
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"encoder.py": "cca3a60bb8078d599a0372c488d13083feb35cdbe826151936d50dd60ed6a40c",
|
| 12 |
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"decoder.py": "2f3116390bc18295dd934b78680f5845e0efb5feac351c15857b3e73869a26a1",
|
| 13 |
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"models.py": "4fb30630b099f0b0c9bfe50b2cbd29dd477f8df7f87e83d2df8cc7000e2d2499",
|
| 14 |
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"optim.py": "ae0ec56aafe7d01cd46f7d9e088909610fa48314ed215b550b5c67c38d6f365d",
|
| 15 |
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"evaluate.py": "1527503162600d0d03daa6dbf14d6e64de1763ab83f756986dcb0fb5e2d5dedc",
|
| 16 |
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"types.py": "0f8e3bfa4e92693ec50b9f258fb9180438a62d30caf9b3e6c00860a71e46dc5a",
|
| 17 |
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"events.py": "98c77d359fea9a6eeb62753004f93ded41479aefb5812a4812ed149cfff26f7f",
|
| 18 |
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"uv.lock": "9f0b5b955cb9a06536c89a0099205dc56ecfea9dabf928318794681101ad705e"
|
| 19 |
+
},
|
| 20 |
+
"format_version": 1,
|
| 21 |
+
"base_model": "Qwen/Qwen3.5-0.8B",
|
| 22 |
+
"revision": "2fc06364715b967f1860aea9cf38778875588b17",
|
| 23 |
+
"codes": [
|
| 24 |
+
"A",
|
| 25 |
+
"B",
|
| 26 |
+
"C",
|
| 27 |
+
"D",
|
| 28 |
+
"E",
|
| 29 |
+
"F",
|
| 30 |
+
"G",
|
| 31 |
+
"H",
|
| 32 |
+
"I",
|
| 33 |
+
"J",
|
| 34 |
+
"K",
|
| 35 |
+
"L",
|
| 36 |
+
"M",
|
| 37 |
+
"N",
|
| 38 |
+
"O",
|
| 39 |
+
"P",
|
| 40 |
+
"Q",
|
| 41 |
+
"R",
|
| 42 |
+
"S",
|
| 43 |
+
"T",
|
| 44 |
+
"U",
|
| 45 |
+
"V",
|
| 46 |
+
"W",
|
| 47 |
+
"X",
|
| 48 |
+
"Y",
|
| 49 |
+
"Z",
|
| 50 |
+
"AA",
|
| 51 |
+
"AB",
|
| 52 |
+
"AC",
|
| 53 |
+
"AD",
|
| 54 |
+
"AE",
|
| 55 |
+
"AF",
|
| 56 |
+
"AG",
|
| 57 |
+
"AH",
|
| 58 |
+
"AI",
|
| 59 |
+
"AJ",
|
| 60 |
+
"AK",
|
| 61 |
+
"AL",
|
| 62 |
+
"AM",
|
| 63 |
+
"AN",
|
| 64 |
+
"AO",
|
| 65 |
+
"AP",
|
| 66 |
+
"AQ",
|
| 67 |
+
"AR",
|
| 68 |
+
"AS",
|
| 69 |
+
"AT",
|
| 70 |
+
"AU",
|
| 71 |
+
"AV",
|
| 72 |
+
"AW",
|
| 73 |
+
"AX",
|
| 74 |
+
"AY",
|
| 75 |
+
"AZ",
|
| 76 |
+
"BA",
|
| 77 |
+
"BB",
|
| 78 |
+
"BC",
|
| 79 |
+
"BD",
|
| 80 |
+
"BE",
|
| 81 |
+
"BF",
|
| 82 |
+
"BG",
|
| 83 |
+
"BH",
|
| 84 |
+
"BI",
|
| 85 |
+
"BJ",
|
| 86 |
+
"BK",
|
| 87 |
+
"BL",
|
| 88 |
+
"BM",
|
| 89 |
+
"BN",
|
| 90 |
+
"BO",
|
| 91 |
+
"BP",
|
| 92 |
+
"BR",
|
| 93 |
+
"BS",
|
| 94 |
+
"BT",
|
| 95 |
+
"BU",
|
| 96 |
+
"BV",
|
| 97 |
+
"BW",
|
| 98 |
+
"BX",
|
| 99 |
+
"BY",
|
| 100 |
+
"CA",
|
| 101 |
+
"CB",
|
| 102 |
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| 103 |
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| 104 |
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| 105 |
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| 106 |
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| 107 |
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| 108 |
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| 109 |
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| 111 |
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| 112 |
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| 113 |
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| 114 |
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| 115 |
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| 116 |
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| 117 |
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| 124 |
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| 128 |
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| 129 |
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| 130 |
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| 131 |
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| 132 |
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| 133 |
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| 134 |
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| 135 |
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| 136 |
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| 137 |
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"prompt_layout": "state-first"
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}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
|
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|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:94ff26e4b780709239c876a0761057b9ace0782c2c78f449faef4074f9086ae8
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| 3 |
+
size 1706027688
|
processor_config.json
ADDED
|
@@ -0,0 +1,61 @@
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|
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|
|
|
|
|
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|
|
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|
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|
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|
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|
|
|
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|
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|
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|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"image_processor": {
|
| 3 |
+
"do_convert_rgb": true,
|
| 4 |
+
"do_normalize": true,
|
| 5 |
+
"do_rescale": true,
|
| 6 |
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"do_resize": true,
|
| 7 |
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"image_mean": [
|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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],
|
| 12 |
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"image_processor_type": "Qwen2VLImageProcessor",
|
| 13 |
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"image_std": [
|
| 14 |
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0.5,
|
| 15 |
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|
| 16 |
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|
| 17 |
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],
|
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"merge_size": 2,
|
| 19 |
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"patch_size": 16,
|
| 20 |
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"resample": 3,
|
| 21 |
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"rescale_factor": 0.00392156862745098,
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| 22 |
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"size": {
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| 23 |
+
"longest_edge": 262144,
|
| 24 |
+
"shortest_edge": 65536
|
| 25 |
+
},
|
| 26 |
+
"temporal_patch_size": 2
|
| 27 |
+
},
|
| 28 |
+
"processor_class": "Qwen3VLProcessor",
|
| 29 |
+
"video_processor": {
|
| 30 |
+
"do_convert_rgb": true,
|
| 31 |
+
"do_normalize": true,
|
| 32 |
+
"do_rescale": true,
|
| 33 |
+
"do_resize": true,
|
| 34 |
+
"do_sample_frames": true,
|
| 35 |
+
"fps": 2,
|
| 36 |
+
"image_mean": [
|
| 37 |
+
0.5,
|
| 38 |
+
0.5,
|
| 39 |
+
0.5
|
| 40 |
+
],
|
| 41 |
+
"image_std": [
|
| 42 |
+
0.5,
|
| 43 |
+
0.5,
|
| 44 |
+
0.5
|
| 45 |
+
],
|
| 46 |
+
"max_frames": 768,
|
| 47 |
+
"max_video_tokens": 768,
|
| 48 |
+
"merge_size": 2,
|
| 49 |
+
"min_frames": 4,
|
| 50 |
+
"patch_size": 16,
|
| 51 |
+
"resample": 3,
|
| 52 |
+
"rescale_factor": 0.00392156862745098,
|
| 53 |
+
"return_metadata": false,
|
| 54 |
+
"size": {
|
| 55 |
+
"longest_edge": 25165824,
|
| 56 |
+
"shortest_edge": 4096
|
| 57 |
+
},
|
| 58 |
+
"temporal_patch_size": 2,
|
| 59 |
+
"video_processor_type": "Qwen3VLVideoProcessor"
|
| 60 |
+
}
|
| 61 |
+
}
|
readout.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2f9867d56d621684b0c34e07468034c535bd14fe3852a781ed0fd6776498c954
|
| 3 |
+
size 522320
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6f32ce20dc35f57a7f9ad1eac03525bd7d30f9df8cea6507e958279cc3657706
|
| 3 |
+
size 19989492
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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": false,
|
| 13 |
+
"local_files_only": false,
|
| 14 |
+
"model_max_length": 262144,
|
| 15 |
+
"model_specific_special_tokens": {
|
| 16 |
+
"audio_bos_token": "<|audio_start|>",
|
| 17 |
+
"audio_eos_token": "<|audio_end|>",
|
| 18 |
+
"audio_token": "<|audio_pad|>",
|
| 19 |
+
"image_token": "<|image_pad|>",
|
| 20 |
+
"video_token": "<|video_pad|>",
|
| 21 |
+
"vision_bos_token": "<|vision_start|>",
|
| 22 |
+
"vision_eos_token": "<|vision_end|>"
|
| 23 |
+
},
|
| 24 |
+
"pad_token": "<|endoftext|>",
|
| 25 |
+
"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+",
|
| 26 |
+
"processor_class": "Qwen3VLProcessor",
|
| 27 |
+
"split_special_tokens": false,
|
| 28 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 29 |
+
"unk_token": null,
|
| 30 |
+
"video_token": "<|video_pad|>",
|
| 31 |
+
"vision_bos_token": "<|vision_start|>",
|
| 32 |
+
"vision_eos_token": "<|vision_end|>"
|
| 33 |
+
}
|