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Upload merged IDM 5k checkpoint

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.gitattributes CHANGED
@@ -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
README.md ADDED
@@ -0,0 +1,65 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: apache-2.0
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+ base_model: Qwen/Qwen3-VL-8B-Instruct
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+ base_model_relation: finetune
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+ library_name: transformers
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+ pipeline_tag: image-text-to-text
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+ tags:
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+ - inverse-dynamics-model
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+ - screen-understanding
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+ - screencasts
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+ - qwen3-vl
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+ ---
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+
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+ # p(doom) IDM
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+
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+ Fine-tuned Qwen3-VL-8B for inverse dynamics on screencasts. Given 10 consecutive screenshots, the model predicts the user input actions that occurred between frames.
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+
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+ This repo contains the merged 5k-step checkpoint used in our IDM blog post; it is not an adapter or optimizer checkpoint.
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+
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+ ## Input format
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+
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+ Provide one chat message with 10 images sampled at 5 FPS. Each image should be preceded by a text label:
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+
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+ ```text
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+ Frame F00: <image>
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+ Frame F01: <image>
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+ ...
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+ Frame F09: <image>
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+ ```
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+
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+ The frame labels are text anchors in the message, not labels rendered into the image pixels.
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+
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+ ## Output format
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+
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+ The model emits only a JSON array:
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+
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+ ```json
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+ [
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+ {"frame": "F02", "type": "MouseMove", "details": "120,45"},
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+ {"frame": "F03", "type": "MouseClick", "details": "Left"},
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+ {"frame": "F05", "type": "KeyPress", "details": "Cmd+S"},
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+ {"frame": "F07", "type": "MouseScroll", "details": "-150"}
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+ ]
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+ ```
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+
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+ Action types:
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+
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+ - `KeyPress`: key name with modifiers, e.g. `Cmd+S`, `Enter`, `A`
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+ - `MouseClick`: `Left`, `Right`, or `Middle`
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+ - `MouseMove`: normalized `dx,dy`, where `1000` is full screen width/height
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+ - `MouseScroll`: normalized signed scroll magnitude
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+
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+ Frame attribution: if an effect first appears between `F_K` and `F_{K+1}`, report the action on `F_K`, the last pre-action frame.
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+
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+ ## Training and evaluation
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+
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+ - Base model: `Qwen/Qwen3-VL-8B-Instruct`
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+ - Data: macOS crowd-cast paired screencasts and OS input logs
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+ - Training: LoRA on language and vision modules, merged after 5,000 steps
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+ - Eval: 44 manually verified macOS productivity clips
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+ - Result: F1 0.86, MouseMove R² 0.66, MouseMove cosine 0.99
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+
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+ ## Limitations
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+
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+ The model was trained on macOS productivity recordings. It can confuse OS-specific shortcuts such as `Cmd` vs `Ctrl`, and it only predicts actions that are visible or inferable from screen pixels at 5 FPS.
chat_template.jinja ADDED
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+ {%- if tools %}
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+ {{- '<|im_start|>system\n' }}
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+ {%- if messages[0].role == 'system' %}
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+ {%- if messages[0].content is string %}
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+ {{- messages[0].content }}
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+ {%- else %}
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+ {%- for content in messages[0].content %}
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+ {%- if 'text' in content %}
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+ {{- content.text }}
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+ {%- endif %}
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+ {%- endfor %}
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+ {%- endif %}
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+ {{- '\n\n' }}
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+ {%- endif %}
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+ {{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\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>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
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+ {%- else %}
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+ {%- if messages[0].role == 'system' %}
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+ {{- '<|im_start|>system\n' }}
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+ {%- if messages[0].content is string %}
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+ {{- messages[0].content }}
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+ {%- else %}
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+ {%- for content in messages[0].content %}
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+ {%- if 'text' in content %}
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+ {{- content.text }}
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+ {%- endif %}
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+ {%- endfor %}
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+ {%- endif %}
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+ {{- '<|im_end|>\n' }}
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+ {%- endif %}
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+ {%- endif %}
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+ {%- set image_count = namespace(value=0) %}
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+ {%- set video_count = namespace(value=0) %}
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+ {%- for message in messages %}
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+ {%- if message.role == "user" %}
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+ {{- '<|im_start|>' + message.role + '\n' }}
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+ {%- if message.content is string %}
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+ {{- message.content }}
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+ {%- else %}
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+ {%- for content in message.content %}
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+ {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
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+ {%- set image_count.value = image_count.value + 1 %}
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+ {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
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+ <|vision_start|><|image_pad|><|vision_end|>
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+ {%- elif content.type == 'video' or 'video' in content %}
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+ {%- set video_count.value = video_count.value + 1 %}
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+ {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
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+ <|vision_start|><|video_pad|><|vision_end|>
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+ {%- elif 'text' in content %}
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+ {{- content.text }}
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+ {%- endif %}
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+ {%- endfor %}
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+ {%- endif %}
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+ {{- '<|im_end|>\n' }}
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+ {%- elif message.role == "assistant" %}
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+ {{- '<|im_start|>' + message.role + '\n' }}
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+ {%- if message.content is string %}
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+ {{- message.content }}
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+ {%- else %}
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+ {%- for content_item in message.content %}
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+ {%- if 'text' in content_item %}
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+ {{- content_item.text }}
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+ {%- endif %}
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+ {%- endfor %}
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+ {%- endif %}
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+ {%- if message.tool_calls %}
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+ {%- for tool_call in message.tool_calls %}
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+ {%- if (loop.first and message.content) or (not loop.first) %}
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+ {{- '\n' }}
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+ {%- endif %}
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+ {%- if tool_call.function %}
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+ {%- set tool_call = tool_call.function %}
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+ {%- endif %}
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+ {{- '<tool_call>\n{"name": "' }}
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+ {{- tool_call.name }}
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+ {{- '", "arguments": ' }}
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+ {%- if tool_call.arguments is string %}
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+ {{- tool_call.arguments }}
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+ {%- else %}
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+ {{- tool_call.arguments | tojson }}
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+ {%- endif %}
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+ {{- '}\n</tool_call>' }}
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+ {%- endfor %}
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+ {%- endif %}
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+ {{- '<|im_end|>\n' }}
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+ {%- elif message.role == "tool" %}
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+ {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
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+ {{- '<|im_start|>user' }}
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+ {%- endif %}
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+ {{- '\n<tool_response>\n' }}
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+ {%- if message.content is string %}
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+ {{- message.content }}
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+ {%- else %}
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+ {%- for content in message.content %}
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+ {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
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+ {%- set image_count.value = image_count.value + 1 %}
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+ {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
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+ <|vision_start|><|image_pad|><|vision_end|>
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+ {%- elif content.type == 'video' or 'video' in content %}
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+ {%- set video_count.value = video_count.value + 1 %}
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+ {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
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+ <|vision_start|><|video_pad|><|vision_end|>
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+ {%- elif 'text' in content %}
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+ {{- content.text }}
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+ {%- endif %}
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+ {%- endfor %}
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+ {%- endif %}
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+ {{- '\n</tool_response>' }}
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+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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+ {{- '<|im_end|>\n' }}
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+ {%- endif %}
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+ {%- endif %}
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+ {%- endfor %}
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+ {%- if add_generation_prompt %}
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+ {{- '<|im_start|>assistant\n' }}
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+ {%- endif %}
config.json ADDED
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+ {
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+ "image_token_id": 151655,
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 36,
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+ "num_key_value_heads": 8,
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+ "pad_token_id": null,
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+ "rms_norm_eps": 1e-06,
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+ "rope_parameters": {
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+ "mrope_interleaved": true,
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+ "mrope_section": [
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+ 24,
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+ 20,
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+ "rope_theta": 5000000,
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+ "rope_type": "default"
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+ },
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+ "use_cache": true,
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+ "vocab_size": 151936
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+ "tie_word_embeddings": false,
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+ "transformers_version": "5.6.2",
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+ "vision_config": {
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+ "depth": 27,
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+ "hidden_act": "gelu_pytorch_tanh",
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+ "hidden_size": 1152,
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+ "in_channels": 3,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 4304,
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+ "model_type": "qwen3_vl_vision",
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+ "num_heads": 16,
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+ "num_position_embeddings": 2304,
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+ "out_hidden_size": 4096,
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+ "patch_size": 16,
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+ "spatial_merge_size": 2,
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+ "temporal_patch_size": 2
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+ },
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+ "vision_end_token_id": 151653,
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+ "vision_start_token_id": 151652
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+ }
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+ "top_k": 20,
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+ "top_p": 0.8,
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+ "transformers_version": "5.6.2"
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+ }
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+ }
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