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Duplicate from ShuyaoShang/PhiZero

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Co-authored-by: Shuyao Shang <ShuyaoShang@users.noreply.huggingface.co>

.gitattributes ADDED
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+ *.7z filter=lfs diff=lfs merge=lfs -text
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+ *.arrow filter=lfs diff=lfs merge=lfs -text
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+ *.bin filter=lfs diff=lfs merge=lfs -text
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+ *.bz2 filter=lfs diff=lfs merge=lfs -text
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+ *.ckpt filter=lfs diff=lfs merge=lfs -text
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+ *.ftz filter=lfs diff=lfs merge=lfs -text
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+ *.gz filter=lfs diff=lfs merge=lfs -text
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+ *.h5 filter=lfs diff=lfs merge=lfs -text
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+ *.joblib filter=lfs diff=lfs merge=lfs -text
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+ *.lfs.* filter=lfs diff=lfs merge=lfs -text
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+ *.mlmodel filter=lfs diff=lfs merge=lfs -text
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+ *.model filter=lfs diff=lfs merge=lfs -text
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+ *.pkl filter=lfs diff=lfs merge=lfs -text
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+ *.pt filter=lfs diff=lfs merge=lfs -text
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+ *.pth filter=lfs diff=lfs merge=lfs -text
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+ *.rar filter=lfs diff=lfs merge=lfs -text
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+ *.safetensors filter=lfs diff=lfs merge=lfs -text
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+ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+ *.tar.* filter=lfs diff=lfs merge=lfs -text
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+ *.tar filter=lfs diff=lfs merge=lfs -text
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+ reasoner/tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,170 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
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+ language:
3
+ - en
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+ license: apache-2.0
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+ base_model:
6
+ - Qwen/Qwen3-VL-4B-Instruct
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+ - Wan-AI/Wan2.2-TI2V-5B
8
+ tags:
9
+ - world-model
10
+ - physical-language
11
+ - video-generation
12
+ - image-to-video
13
+ - motion-transfer
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+ - qwen3-vl
15
+ - wan2.2
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+ - arxiv:2607.28624
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+ ---
18
+
19
+ # PhiZero
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+
21
+ Official checkpoints for **PhiZero: A World Model Built Around Physical
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+ Language**.
23
+
24
+ PhiZero reasons about future dynamics in a discrete **Physical Language**
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+ before rendering those dynamics as video.
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+
27
+ - [Project page](https://phi-zero.github.io/)
28
+ - [Paper](https://arxiv.org/abs/2607.28624)
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+ - [Code](https://github.com/yaoyao-jpg/PhiZero)
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+
31
+ ## Repository contents
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+
33
+ ```text
34
+ .
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+ ├── reasoner/
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+ │ ├── config.json
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+ │ ├── model-00001-of-00002.safetensors
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+ │ ├── model-00002-of-00002.safetensors
39
+ │ ├── model.safetensors.index.json
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+ │ └── tokenizer and processor files
41
+ └── tokenizer/
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+ ├── tokenizer.safetensors
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+ └── model_config.json
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+ ```
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+
46
+ ### Physical Language Reasoner
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+
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+ `reasoner/` contains the Qwen3-VL-based Physical Language Reasoner. Given a
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+ first frame and an English motion caption, it predicts:
50
+
51
+ ```text
52
+ <bom> + 256 Physical Language symbols + <eom>
53
+ ```
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+
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+ The Physical Language vocabulary contains 25,000 symbols, from `<m_0>` through
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+ `<m_24999>`.
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+
58
+ ### Physical Language Tokenizer and diffusion decoder
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+
60
+ `tokenizer/tokenizer.safetensors` contains:
61
+
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+ - the Physical Language Tokenizer;
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+ - the inverse-FSQ and context-conditioning modules;
64
+ - the PhiZero DiT LoRA weights.
65
+
66
+ Keep `tokenizer/model_config.json` beside the checkpoint. The official
67
+ Wan2.2-TI2V-5B base DiT and VAE are not included here. They are resolved
68
+ separately by the PhiZero code or supplied through local Wan checkpoint paths.
69
+
70
+ ## Download
71
+
72
+ While this repository is private, authenticate with an account that has access:
73
+
74
+ ```bash
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+ hf auth login
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+ ```
77
+
78
+ Clone the PhiZero code and download all checkpoints into the layout expected by
79
+ the release:
80
+
81
+ ```bash
82
+ git clone https://github.com/yaoyao-jpg/PhiZero
83
+ cd PhiZero
84
+
85
+ hf download ShuyaoShang/PhiZero --local-dir ckpt
86
+ ```
87
+
88
+ The resulting directory is:
89
+
90
+ ```text
91
+ PhiZero/
92
+ └── ckpt/
93
+ ├── reasoner/
94
+ └── tokenizer/
95
+ ```
96
+
97
+ Download only the tokenizer/decoder checkpoint:
98
+
99
+ ```bash
100
+ hf download ShuyaoShang/PhiZero \
101
+ tokenizer/tokenizer.safetensors \
102
+ tokenizer/model_config.json \
103
+ --local-dir ckpt
104
+ ```
105
+
106
+ Download only the reasoner:
107
+
108
+ ```bash
109
+ hf download ShuyaoShang/PhiZero \
110
+ --include "reasoner/*" \
111
+ --local-dir ckpt
112
+ ```
113
+
114
+ ## Usage
115
+
116
+ Follow the installation, training, and inference instructions in the
117
+ [PhiZero code repository](https://github.com/yaoyao-jpg/PhiZero).
118
+
119
+ The default local checkpoint paths are:
120
+
121
+ ```bash
122
+ export PHIZERO_REASONER_CHECKPOINT="${PWD}/ckpt/reasoner"
123
+ export PHIZERO_DECODER_CHECKPOINT="${PWD}/ckpt/tokenizer/tokenizer.safetensors"
124
+ ```
125
+
126
+ ## Important note for motion transfer
127
+
128
+ The included `tokenizer/tokenizer.safetensors` is a general initialization
129
+ checkpoint and cannot be used directly for robot-domain or sim-to-real motion
130
+ transfer. First fine-tune it with videos from the same domain as the source
131
+ motion.
132
+
133
+ If no additional domain-matched data are available, the source videos can be
134
+ used directly through reconstruction training. Target videos and paired
135
+ source-target data are not required. See the source-domain adaptation section
136
+ in the PhiZero code repository before running motion transfer.
137
+
138
+ ## Model settings
139
+
140
+ - Output resolution: 896 x 512
141
+ - Output length: 33 frames
142
+ - Frame rate: 8 FPS
143
+ - Physical Language length: 256 symbols
144
+ - Physical Language codebook size: 25,000
145
+ - Default diffusion steps: 50
146
+
147
+ ## Intended use and limitations
148
+
149
+ PhiZero is intended for research on physical-dynamics reasoning, video world
150
+ models, reconstruction, and motion transfer.
151
+
152
+ It is not a guaranteed physical simulator. Generated dynamics can be
153
+ inaccurate, unstable, or inconsistent with real-world constraints. Results
154
+ should not be used directly for safety-critical control or decision-making.
155
+
156
+ Inference requires the custom PhiZero code. These checkpoints are not intended
157
+ to run through the standard hosted Hugging Face inference widget. Users must
158
+ also comply with the licenses and terms of the upstream base models.
159
+
160
+ ## Citation
161
+
162
+ ```bibtex
163
+ @article{shang2026phizero,
164
+ title = {PhiZero: A World Model Built Around Physical Language},
165
+ author = {Shang, Shuyao and Wang, Yuqi and Gao, Ruopeng and Chen, Xu and
166
+ Tan, Tieniu and Fan, Lue and Zhang, Zhaoxiang},
167
+ journal = {arXiv preprint arXiv:2607.28624},
168
+ year = {2026}
169
+ }
170
+ ```
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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 %}
17
+ {{- "\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' }}
34
+ {%- endif %}
35
+ {%- endif %}
36
+ {%- set image_count = namespace(value=0) %}
37
+ {%- set video_count = namespace(value=0) %}
38
+ {%- for message in messages %}
39
+ {%- if message.role == "user" %}
40
+ {{- '<|im_start|>' + message.role + '\n' }}
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+ {%- if message.content is string %}
42
+ {{- message.content }}
43
+ {%- else %}
44
+ {%- for content in message.content %}
45
+ {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
46
+ {%- set image_count.value = image_count.value + 1 %}
47
+ {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
48
+ <|vision_start|><|image_pad|><|vision_end|>
49
+ {%- elif content.type == 'video' or 'video' in content %}
50
+ {%- set video_count.value = video_count.value + 1 %}
51
+ {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
52
+ <|vision_start|><|video_pad|><|vision_end|>
53
+ {%- elif 'text' in content %}
54
+ {{- content.text }}
55
+ {%- endif %}
56
+ {%- endfor %}
57
+ {%- endif %}
58
+ {{- '<|im_end|>\n' }}
59
+ {%- elif message.role == "assistant" %}
60
+ {{- '<|im_start|>' + message.role + '\n' }}
61
+ {%- if message.content is string %}
62
+ {{- message.content }}
63
+ {%- else %}
64
+ {%- for content_item in message.content %}
65
+ {%- if 'text' in content_item %}
66
+ {{- content_item.text }}
67
+ {%- endif %}
68
+ {%- endfor %}
69
+ {%- endif %}
70
+ {%- if message.tool_calls %}
71
+ {%- for tool_call in message.tool_calls %}
72
+ {%- if (loop.first and message.content) or (not loop.first) %}
73
+ {{- '\n' }}
74
+ {%- endif %}
75
+ {%- if tool_call.function %}
76
+ {%- set tool_call = tool_call.function %}
77
+ {%- endif %}
78
+ {{- '<tool_call>\n{"name": "' }}
79
+ {{- tool_call.name }}
80
+ {{- '", "arguments": ' }}
81
+ {%- if tool_call.arguments is string %}
82
+ {{- tool_call.arguments }}
83
+ {%- else %}
84
+ {{- tool_call.arguments | tojson }}
85
+ {%- endif %}
86
+ {{- '}\n</tool_call>' }}
87
+ {%- endfor %}
88
+ {%- endif %}
89
+ {{- '<|im_end|>\n' }}
90
+ {%- elif message.role == "tool" %}
91
+ {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
92
+ {{- '<|im_start|>user' }}
93
+ {%- endif %}
94
+ {{- '\n<tool_response>\n' }}
95
+ {%- if message.content is string %}
96
+ {{- message.content }}
97
+ {%- else %}
98
+ {%- for content in message.content %}
99
+ {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
100
+ {%- set image_count.value = image_count.value + 1 %}
101
+ {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
102
+ <|vision_start|><|image_pad|><|vision_end|>
103
+ {%- elif content.type == 'video' or 'video' in content %}
104
+ {%- set video_count.value = video_count.value + 1 %}
105
+ {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
106
+ <|vision_start|><|video_pad|><|vision_end|>
107
+ {%- elif 'text' in content %}
108
+ {{- content.text }}
109
+ {%- endif %}
110
+ {%- endfor %}
111
+ {%- endif %}
112
+ {{- '\n</tool_response>' }}
113
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
114
+ {{- '<|im_end|>\n' }}
115
+ {%- endif %}
116
+ {%- endif %}
117
+ {%- endfor %}
118
+ {%- if add_generation_prompt %}
119
+ {{- '<|im_start|>assistant\n' }}
120
+ {%- endif %}
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+ "model_type": "qwen3_vl",
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+ "pad_token_id": 151643,
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+ "text_config": {
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+ "attention_dropout": 0.0,
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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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+ "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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+ "rope_theta": 5000000,
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+ "rope_type": "default"
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+ "tie_word_embeddings": true,
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+ "use_cache": false,
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+ "vocab_size": 176768
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+ "tie_word_embeddings": true,
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+ "transformers_version": "5.12.1",
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+ "use_cache": false,
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+ "vision_config": {
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+ "deepstack_visual_indexes": [
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+ "depth": 24,
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+ "dtype": "bfloat16",
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+ "hidden_act": "gelu_pytorch_tanh",
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+ "hidden_size": 1024,
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+ "in_channels": 3,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 4096,
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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": 2560,
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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_p": 0.8,
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+ "transformers_version": "5.12.1"
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