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+ ---
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+ license: apache-2.0
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+ pipeline_tag: image-text-to-text
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+ library_name: transformers
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+ base_model:
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+ - Qwen/Qwen3-VL-8B-Instruct
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+ base_model_relation: quantized
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+ ---
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+ <a href="https://chat.qwenlm.ai/" target="_blank" style="margin: 2px;">
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+ <img alt="Chat" src="https://img.shields.io/badge/%F0%9F%92%9C%EF%B8%8F%20Qwen%20Chat%20-536af5" style="display: inline-block; vertical-align: middle;"/>
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+ </a>
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+
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+ # Qwen3-VL-8B-Instruct-FP8
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+
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+ > This repository contains an FP8 quantized version of the [Qwen3-VL-8B-Instruct](https://huggingface.co/Qwen/Qwen3-VL-8B-Instruct) model. The quantization method is fine-grained fp8 quantization with block size of 128, and its performance metrics are nearly identical to those of the original BF16 model. Enjoy!
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+
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+
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+ Meet Qwen3-VL — the most powerful vision-language model in the Qwen series to date.
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+
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+ This generation delivers comprehensive upgrades across the board: superior text understanding & generation, deeper visual perception & reasoning, extended context length, enhanced spatial and video dynamics comprehension, and stronger agent interaction capabilities.
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+
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+ Available in Dense and MoE architectures that scale from edge to cloud, with Instruct and reasoning‑enhanced Thinking editions for flexible, on‑demand deployment.
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+
24
+
25
+ #### Key Enhancements:
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+
27
+ * **Visual Agent**: Operates PC/mobile GUIs—recognizes elements, understands functions, invokes tools, completes tasks.
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+
29
+ * **Visual Coding Boost**: Generates Draw.io/HTML/CSS/JS from images/videos.
30
+
31
+ * **Advanced Spatial Perception**: Judges object positions, viewpoints, and occlusions; provides stronger 2D grounding and enables 3D grounding for spatial reasoning and embodied AI.
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+
33
+ * **Long Context & Video Understanding**: Native 256K context, expandable to 1M; handles books and hours-long video with full recall and second-level indexing.
34
+
35
+ * **Enhanced Multimodal Reasoning**: Excels in STEM/Math—causal analysis and logical, evidence-based answers.
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+
37
+ * **Upgraded Visual Recognition**: Broader, higher-quality pretraining is able to “recognize everything”—celebrities, anime, products, landmarks, flora/fauna, etc.
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+
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+ * **Expanded OCR**: Supports 32 languages (up from 19); robust in low light, blur, and tilt; better with rare/ancient characters and jargon; improved long-document structure parsing.
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+
41
+ * **Text Understanding on par with pure LLMs**: Seamless text–vision fusion for lossless, unified comprehension.
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+
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+
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+ #### Model Architecture Updates:
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+
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+ <p align="center">
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+ <img src="https://qianwen-res.oss-accelerate.aliyuncs.com/Qwen3-VL/qwen3vl_arc.jpg" width="80%"/>
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+ <p>
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+
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+
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+ 1. **Interleaved-MRoPE**: Full‑frequency allocation over time, width, and height via robust positional embeddings, enhancing long‑horizon video reasoning.
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+
53
+ 2. **DeepStack**: Fuses multi‑level ViT features to capture fine‑grained details and sharpen image–text alignment.
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+
55
+ 3. **Text–Timestamp Alignment:** Moves beyond T‑RoPE to precise, timestamp‑grounded event localization for stronger video temporal modeling.
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+
57
+
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+ This is the weight repository for Qwen3-VL-8B-Instruct-FP8.
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+
60
+
61
+ ---
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+
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+ ## Model Performance
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+
65
+ **Multimodal performance**
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+
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+ ![](https://qianwen-res.oss-accelerate.aliyuncs.com/Qwen3-VL/qwen3vl_4b_8b_vl_instruct.jpg)
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+
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+ **Pure text performance**
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+ ![](https://qianwen-res.oss-accelerate.aliyuncs.com/Qwen3-VL/qwen3vl_4b_8b_text_instruct.jpg)
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+
72
+
73
+ ## Quickstart
74
+
75
+ Currently, 🤗 Transformers does not support loading these weights directly. Stay tuned!
76
+
77
+ We recommend deploying the model using vLLM or SGLang, with example launch commands provided below. For details on the runtime environment and deployment, please refer to this [link](https://github.com/QwenLM/Qwen3-VL?tab=readme-ov-file#deployment).
78
+
79
+ ### vLLM Inference
80
+
81
+ Here we provide a code snippet demonstrating how to use vLLM to run inference with Qwen3-VL locally. For more details on efficient deployment with vLLM, please refer to the [community deployment guide](https://docs.vllm.ai/projects/recipes/en/latest/Qwen/Qwen3-VL.html).
82
+
83
+ ```python
84
+ # -*- coding: utf-8 -*-
85
+ import torch
86
+ from qwen_vl_utils import process_vision_info
87
+ from transformers import AutoProcessor
88
+ from vllm import LLM, SamplingParams
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+
90
+ import os
91
+ os.environ['VLLM_WORKER_MULTIPROC_METHOD'] = 'spawn'
92
+
93
+ def prepare_inputs_for_vllm(messages, processor):
94
+ text = processor.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
95
+ # qwen_vl_utils 0.0.14+ reqired
96
+ image_inputs, video_inputs, video_kwargs = process_vision_info(
97
+ messages,
98
+ image_patch_size=processor.image_processor.patch_size,
99
+ return_video_kwargs=True,
100
+ return_video_metadata=True
101
+ )
102
+ print(f"video_kwargs: {video_kwargs}")
103
+
104
+ mm_data = {}
105
+ if image_inputs is not None:
106
+ mm_data['image'] = image_inputs
107
+ if video_inputs is not None:
108
+ mm_data['video'] = video_inputs
109
+
110
+ return {
111
+ 'prompt': text,
112
+ 'multi_modal_data': mm_data,
113
+ 'mm_processor_kwargs': video_kwargs
114
+ }
115
+
116
+
117
+ if __name__ == '__main__':
118
+ # messages = [
119
+ # {
120
+ # "role": "user",
121
+ # "content": [
122
+ # {
123
+ # "type": "video",
124
+ # "video": "https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen2-VL/space_woaudio.mp4",
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+ # },
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+ # {"type": "text", "text": "这段视频有多长"},
127
+ # ],
128
+ # }
129
+ # ]
130
+
131
+ messages = [
132
+ {
133
+ "role": "user",
134
+ "content": [
135
+ {
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+ "type": "image",
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+ "image": "https://qianwen-res.oss-accelerate.aliyuncs.com/Qwen3-VL/receipt.png",
138
+ },
139
+ {"type": "text", "text": "Read all the text in the image."},
140
+ ],
141
+ }
142
+ ]
143
+
144
+ # TODO: change to your own checkpoint path
145
+ checkpoint_path = "Qwen/Qwen3-VL-8B-Instruct-FP8"
146
+ processor = AutoProcessor.from_pretrained(checkpoint_path)
147
+ inputs = [prepare_inputs_for_vllm(message, processor) for message in [messages]]
148
+
149
+ llm = LLM(
150
+ model=checkpoint_path,
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+ trust_remote_code=True,
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+ gpu_memory_utilization=0.70,
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+ enforce_eager=False,
154
+ tensor_parallel_size=torch.cuda.device_count(),
155
+ seed=0
156
+ )
157
+
158
+ sampling_params = SamplingParams(
159
+ temperature=0,
160
+ max_tokens=1024,
161
+ top_k=-1,
162
+ stop_token_ids=[],
163
+ )
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+
165
+ for i, input_ in enumerate(inputs):
166
+ print()
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+ print('=' * 40)
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+ print(f"Inputs[{i}]: {input_['prompt']=!r}")
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+ print('\n' + '>' * 40)
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+
171
+ outputs = llm.generate(inputs, sampling_params=sampling_params)
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+ for i, output in enumerate(outputs):
173
+ generated_text = output.outputs[0].text
174
+ print()
175
+ print('=' * 40)
176
+ print(f"Generated text: {generated_text!r}")
177
+ ```
178
+
179
+ ### SGLang Inference
180
+
181
+ Here we provide a code snippet demonstrating how to use SGLang to run inference with Qwen3-VL locally.
182
+
183
+ ```python
184
+ import time
185
+ from PIL import Image
186
+ from sglang import Engine
187
+ from qwen_vl_utils import process_vision_info
188
+ from transformers import AutoProcessor, AutoConfig
189
+
190
+ if __name__ == "__main__":
191
+ # TODO: change to your own checkpoint path
192
+ checkpoint_path = "Qwen/Qwen3-VL-8B-Instruct-FP8"
193
+ processor = AutoProcessor.from_pretrained(checkpoint_path)
194
+
195
+ messages = [
196
+ {
197
+ "role": "user",
198
+ "content": [
199
+ {
200
+ "type": "image",
201
+ "image": "https://qianwen-res.oss-accelerate.aliyuncs.com/Qwen3-VL/receipt.png",
202
+ },
203
+ {"type": "text", "text": "Read all the text in the image."},
204
+ ],
205
+ }
206
+ ]
207
+
208
+ text = processor.apply_chat_template(
209
+ messages,
210
+ tokenize=False,
211
+ add_generation_prompt=True
212
+ )
213
+
214
+ image_inputs, _ = process_vision_info(messages, image_patch_size=processor.image_processor.patch_size)
215
+
216
+ llm = Engine(
217
+ model_path=checkpoint_path,
218
+ enable_multimodal=True,
219
+ mem_fraction_static=0.8,
220
+ tp_size=torch.cuda.device_count(),
221
+ attention_backend="fa3"
222
+ )
223
+
224
+ start = time.time()
225
+ sampling_params = {"max_new_tokens": 1024}
226
+ response = llm.generate(prompt=text, image_data=image_inputs, sampling_params=sampling_params)
227
+ print(f"Response costs: {time.time() - start:.2f}s")
228
+ print(f"Generated text: {response['text']}")
229
+ ```
230
+
231
+ ### Generation Hyperparameters
232
+ #### VL
233
+ ```bash
234
+ export greedy='false'
235
+ export top_p=0.8
236
+ export top_k=20
237
+ export temperature=0.7
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+ export repetition_penalty=1.0
239
+ export presence_penalty=1.5
240
+ export out_seq_length=16384
241
+ ```
242
+
243
+ #### Text
244
+ ```bash
245
+ export greedy='false'
246
+ export top_p=1.0
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+ export top_k=40
248
+ export repetition_penalty=1.0
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+ export presence_penalty=2.0
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+ export temperature=1.0
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+ export out_seq_length=32768
252
+ ```
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+
254
+
255
+
256
+ ## Citation
257
+
258
+ If you find our work helpful, feel free to give us a cite.
259
+
260
+ ```
261
+ @misc{qwen3technicalreport,
262
+ title={Qwen3 Technical Report},
263
+ author={Qwen Team},
264
+ year={2025},
265
+ eprint={2505.09388},
266
+ archivePrefix={arXiv},
267
+ primaryClass={cs.CL},
268
+ url={https://arxiv.org/abs/2505.09388},
269
+ }
270
+
271
+ @article{Qwen2.5-VL,
272
+ title={Qwen2.5-VL Technical Report},
273
+ author={Bai, Shuai and Chen, Keqin and Liu, Xuejing and Wang, Jialin and Ge, Wenbin and Song, Sibo and Dang, Kai and Wang, Peng and Wang, Shijie and Tang, Jun and Zhong, Humen and Zhu, Yuanzhi and Yang, Mingkun and Li, Zhaohai and Wan, Jianqiang and Wang, Pengfei and Ding, Wei and Fu, Zheren and Xu, Yiheng and Ye, Jiabo and Zhang, Xi and Xie, Tianbao and Cheng, Zesen and Zhang, Hang and Yang, Zhibo and Xu, Haiyang and Lin, Junyang},
274
+ journal={arXiv preprint arXiv:2502.13923},
275
+ year={2025}
276
+ }
277
+
278
+ @article{Qwen2VL,
279
+ title={Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution},
280
+ author={Wang, Peng and Bai, Shuai and Tan, Sinan and Wang, Shijie and Fan, Zhihao and Bai, Jinze and Chen, Keqin and Liu, Xuejing and Wang, Jialin and Ge, Wenbin and Fan, Yang and Dang, Kai and Du, Mengfei and Ren, Xuancheng and Men, Rui and Liu, Dayiheng and Zhou, Chang and Zhou, Jingren and Lin, Junyang},
281
+ journal={arXiv preprint arXiv:2409.12191},
282
+ year={2024}
283
+ }
284
+
285
+ @article{Qwen-VL,
286
+ title={Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond},
287
+ author={Bai, Jinze and Bai, Shuai and Yang, Shusheng and Wang, Shijie and Tan, Sinan and Wang, Peng and Lin, Junyang and Zhou, Chang and Zhou, Jingren},
288
+ journal={arXiv preprint arXiv:2308.12966},
289
+ year={2023}
290
+ }
291
+ ```
mllm/chat_template.json ADDED
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+ {
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+ "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {%- if messages[0].content is string %}\n {{- messages[0].content }}\n {%- else %}\n {%- for content in messages[0].content %}\n {%- if 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '\\n\\n' }}\n {%- endif %}\n {{- \"# 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>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\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\" }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].content is string %}\n {{- messages[0].content }}\n {%- else %}\n {%- for content in messages[0].content %}\n {%- if 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set image_count = namespace(value=0) %}\n{%- set video_count = namespace(value=0) %}\n{%- for message in messages %}\n {%- if message.role == \"user\" %}\n {{- '<|im_start|>' + message.role + '\\n' }}\n {%- if message.content is string %}\n {{- message.content }}\n {%- else %}\n {%- for content in message.content %}\n {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}\n {%- set image_count.value = image_count.value + 1 %}\n {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}\n <|vision_start|><|image_pad|><|vision_end|>\n {%- elif content.type == 'video' or 'video' in content %}\n {%- set video_count.value = video_count.value + 1 %}\n {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}\n <|vision_start|><|video_pad|><|vision_end|>\n {%- elif 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role + '\\n' }}\n {%- if message.content is string %}\n {{- message.content }}\n {%- else %}\n {%- for content_item in message.content %}\n {%- if 'text' in content_item %}\n {{- content_item.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and message.content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {%- if message.content is string %}\n {{- message.content }}\n {%- else %}\n {%- for content in message.content %}\n {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}\n {%- set image_count.value = image_count.value + 1 %}\n {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}\n <|vision_start|><|image_pad|><|vision_end|>\n {%- elif content.type == 'video' or 'video' in content %}\n {%- set video_count.value = video_count.value + 1 %}\n {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}\n <|vision_start|><|video_pad|><|vision_end|>\n {%- elif 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n"
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+ }
mllm/config.json ADDED
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+ {
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+ "architectures": [
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+ }
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+ }
mllm/preprocessor_config.json ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "size": {
3
+ "longest_edge": 16777216,
4
+ "shortest_edge": 65536
5
+ },
6
+ "patch_size": 16,
7
+ "temporal_patch_size": 2,
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+ "merge_size": 2,
9
+ "image_mean": [
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+ 0.5,
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+ 0.5,
12
+ 0.5
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+ ],
14
+ "image_std": [
15
+ 0.5,
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+ 0.5,
17
+ 0.5
18
+ ],
19
+ "processor_class": "Qwen3VLProcessor",
20
+ "image_processor_type": "Qwen2VLImageProcessorFast"
21
+ }
mllm/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
mllm/tokenizer_config.json ADDED
@@ -0,0 +1,239 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
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+ },
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+ "151644": {
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+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
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+ "151645": {
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+ "content": "<|im_end|>",
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+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
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+ "content": "<|object_ref_start|>",
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+ "lstrip": false,
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33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
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+ "151647": {
38
+ "content": "<|object_ref_end|>",
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+ "lstrip": false,
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+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
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+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
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+ "151649": {
54
+ "content": "<|box_end|>",
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+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
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+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
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+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
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+ "151652": {
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+ "content": "<|vision_start|>",
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+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
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+ "special": true
84
+ },
85
+ "151653": {
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+ "content": "<|vision_end|>",
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+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
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+ "151654": {
94
+ "content": "<|vision_pad|>",
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+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
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+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
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+ "151656": {
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+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
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+ "151657": {
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+ "content": "<tool_call>",
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+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
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+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
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+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
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+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ },
181
+ "151665": {
182
+ "content": "<tool_response>",
183
+ "lstrip": false,
184
+ "normalized": false,
185
+ "rstrip": false,
186
+ "single_word": false,
187
+ "special": false
188
+ },
189
+ "151666": {
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+ "content": "</tool_response>",
191
+ "lstrip": false,
192
+ "normalized": false,
193
+ "rstrip": false,
194
+ "single_word": false,
195
+ "special": false
196
+ },
197
+ "151667": {
198
+ "content": "<think>",
199
+ "lstrip": false,
200
+ "normalized": false,
201
+ "rstrip": false,
202
+ "single_word": false,
203
+ "special": false
204
+ },
205
+ "151668": {
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+ "content": "</think>",
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+ "lstrip": false,
208
+ "normalized": false,
209
+ "rstrip": false,
210
+ "single_word": false,
211
+ "special": false
212
+ }
213
+ },
214
+ "additional_special_tokens": [
215
+ "<|im_start|>",
216
+ "<|im_end|>",
217
+ "<|object_ref_start|>",
218
+ "<|object_ref_end|>",
219
+ "<|box_start|>",
220
+ "<|box_end|>",
221
+ "<|quad_start|>",
222
+ "<|quad_end|>",
223
+ "<|vision_start|>",
224
+ "<|vision_end|>",
225
+ "<|vision_pad|>",
226
+ "<|image_pad|>",
227
+ "<|video_pad|>"
228
+ ],
229
+ "bos_token": null,
230
+ "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {%- if messages[0].content is string %}\n {{- messages[0].content }}\n {%- else %}\n {%- for content in messages[0].content %}\n {%- if 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '\\n\\n' }}\n {%- endif %}\n {{- \"# 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>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\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\" }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].content is string %}\n {{- messages[0].content }}\n {%- else %}\n {%- for content in messages[0].content %}\n {%- if 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set image_count = namespace(value=0) %}\n{%- set video_count = namespace(value=0) %}\n{%- for message in messages %}\n {%- if message.role == \"user\" %}\n {{- '<|im_start|>' + message.role + '\\n' }}\n {%- if message.content is string %}\n {{- message.content }}\n {%- else %}\n {%- for content in message.content %}\n {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}\n {%- set image_count.value = image_count.value + 1 %}\n {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}\n <|vision_start|><|image_pad|><|vision_end|>\n {%- elif content.type == 'video' or 'video' in content %}\n {%- set video_count.value = video_count.value + 1 %}\n {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}\n <|vision_start|><|video_pad|><|vision_end|>\n {%- elif 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role + '\\n' }}\n {%- if message.content is string %}\n {{- message.content }}\n {%- else %}\n {%- for content_item in message.content %}\n {%- if 'text' in content_item %}\n {{- content_item.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and message.content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {%- if message.content is string %}\n {{- message.content }}\n {%- else %}\n {%- for content in message.content %}\n {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}\n {%- set image_count.value = image_count.value + 1 %}\n {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}\n <|vision_start|><|image_pad|><|vision_end|>\n {%- elif content.type == 'video' or 'video' in content %}\n {%- set video_count.value = video_count.value + 1 %}\n {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}\n <|vision_start|><|video_pad|><|vision_end|>\n {%- elif 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
231
+ "clean_up_tokenization_spaces": false,
232
+ "eos_token": "<|im_end|>",
233
+ "errors": "replace",
234
+ "model_max_length": 262144,
235
+ "pad_token": "<|endoftext|>",
236
+ "split_special_tokens": false,
237
+ "tokenizer_class": "Qwen2Tokenizer",
238
+ "unk_token": null
239
+ }
mllm/video_preprocessor_config.json ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "size": {
3
+ "longest_edge": 25165824,
4
+ "shortest_edge": 4096
5
+ },
6
+ "patch_size": 16,
7
+ "temporal_patch_size": 2,
8
+ "merge_size": 2,
9
+ "image_mean": [
10
+ 0.5,
11
+ 0.5,
12
+ 0.5
13
+ ],
14
+ "image_std": [
15
+ 0.5,
16
+ 0.5,
17
+ 0.5
18
+ ],
19
+ "processor_class": "Qwen3VLProcessor",
20
+ "video_processor_type": "Qwen3VLVideoProcessor"
21
+ }
mllm/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
model_index.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_class_name": "BooguImagePipeline",
3
+ "_diffusers_version": "0.35.2",
4
+ "mllm": [
5
+ "transformers",
6
+ "Qwen3VLForConditionalGeneration"
7
+ ],
8
+ "processor": [
9
+ "transformers",
10
+ "Qwen3VLProcessor"
11
+ ],
12
+ "scheduler": [
13
+ "scheduling_flow_match_euler_discrete_time_shifting",
14
+ "FlowMatchEulerDiscreteScheduler"
15
+ ],
16
+ "transformer": [
17
+ "boogu.models.transformers.transformer_boogu",
18
+ "BooguImageTransformer2DModel"
19
+ ],
20
+ "vae": [
21
+ "diffusers",
22
+ "AutoencoderKL"
23
+ ]
24
+ }
processor/added_tokens.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</think>": 151668,
3
+ "</tool_call>": 151658,
4
+ "</tool_response>": 151666,
5
+ "<think>": 151667,
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+ "<tool_call>": 151657,
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+ "<tool_response>": 151665,
8
+ "<|box_end|>": 151649,
9
+ "<|box_start|>": 151648,
10
+ "<|endoftext|>": 151643,
11
+ "<|file_sep|>": 151664,
12
+ "<|fim_middle|>": 151660,
13
+ "<|fim_pad|>": 151662,
14
+ "<|fim_prefix|>": 151659,
15
+ "<|fim_suffix|>": 151661,
16
+ "<|im_end|>": 151645,
17
+ "<|im_start|>": 151644,
18
+ "<|image_pad|>": 151655,
19
+ "<|object_ref_end|>": 151647,
20
+ "<|object_ref_start|>": 151646,
21
+ "<|quad_end|>": 151651,
22
+ "<|quad_start|>": 151650,
23
+ "<|repo_name|>": 151663,
24
+ "<|video_pad|>": 151656,
25
+ "<|vision_end|>": 151653,
26
+ "<|vision_pad|>": 151654,
27
+ "<|vision_start|>": 151652
28
+ }
processor/chat_template.jinja ADDED
@@ -0,0 +1,120 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- if tools %}
2
+ {{- '<|im_start|>system\n' }}
3
+ {%- if messages[0].role == 'system' %}
4
+ {%- if messages[0].content is string %}
5
+ {{- messages[0].content }}
6
+ {%- else %}
7
+ {%- for content in messages[0].content %}
8
+ {%- if 'text' in content %}
9
+ {{- content.text }}
10
+ {%- endif %}
11
+ {%- endfor %}
12
+ {%- endif %}
13
+ {{- '\n\n' }}
14
+ {%- endif %}
15
+ {{- "# 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>" }}
16
+ {%- for tool in tools %}
17
+ {{- "\n" }}
18
+ {{- tool | tojson }}
19
+ {%- endfor %}
20
+ {{- "\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" }}
21
+ {%- else %}
22
+ {%- if messages[0].role == 'system' %}
23
+ {{- '<|im_start|>system\n' }}
24
+ {%- if messages[0].content is string %}
25
+ {{- messages[0].content }}
26
+ {%- else %}
27
+ {%- for content in messages[0].content %}
28
+ {%- if 'text' in content %}
29
+ {{- content.text }}
30
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+ <|vision_start|><|image_pad|><|vision_end|>
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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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+ {{- 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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+ {{- '<|im_start|>assistant\n' }}
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+ {%- endif %}
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processor/vocab.json ADDED
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scheduler/scheduler_config.json ADDED
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1
+ {
2
+ "_class_name": "FlowMatchEulerDiscreteScheduler",
3
+ "_diffusers_version": "0.33.1",
4
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+ "dynamic_time_shift": false,
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+ }
scheduler/scheduling_flow_match_euler_discrete_time_shifting.py ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Copyright (C) 2026 Boogu Team.
2
+ # This repository is a fork by Boogu Team; modifications have been made.
3
+
4
+ """
5
+ Compatibility entry point for the released Boogu base pipeline scheduler.
6
+
7
+ The inference code in this repository owns the canonical scheduler
8
+ implementation. Keeping another full copy here easily causes drift between the
9
+ released pipeline package and the active codebase. Diffusers only needs this
10
+ module to expose `FlowMatchEulerDiscreteScheduler` for `model_index.json`, so
11
+ this file intentionally re-exports the repository class.
12
+ """
13
+
14
+ try:
15
+ from boogu.schedulers.scheduling_flow_match_euler_discrete_time_shifting import (
16
+ FlowMatchEulerDiscreteScheduler,
17
+ FlowMatchEulerDiscreteSchedulerOutput,
18
+ )
19
+ except ModuleNotFoundError as exc:
20
+ if exc.name != "boogu":
21
+ raise
22
+ raise ModuleNotFoundError(
23
+ "Failed to import the canonical Boogu scheduler implementation. "
24
+ "Run inference from the Boogu-Image repository root "
25
+ "or add that directory to PYTHONPATH before loading the pipeline."
26
+ ) from exc
27
+
28
+
29
+ __all__ = [
30
+ "FlowMatchEulerDiscreteScheduler",
31
+ "FlowMatchEulerDiscreteSchedulerOutput",
32
+ ]
transformer/config.json ADDED
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+ {
2
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3
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4
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5
+ 40,
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+ 40,
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+ 40
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+ ],
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+ 1664,
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+ 1664
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+ ],
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+ "num_instruction_feature_layers": 1,
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+ "reduce_type": "mean"
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+ },
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+ "num_attention_heads": 28,
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+ "num_double_stream_layers": 8,
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+ "use_causal_mask": true,
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+ "use_prompt_tuning": false
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+ },
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+ "timestep_scale": 1000.0
44
+ }
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transformer/transformer_boogu.py ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Copyright (C) 2026 Boogu Team.
2
+ # This repository is a fork by Boogu Team; modifications have been made.
3
+
4
+ """
5
+ Compatibility entry point for the released Boogu base pipeline transformer.
6
+
7
+ The inference code in this repository owns the canonical transformer
8
+ implementation. Keeping another full copy here easily causes drift between the
9
+ released pipeline package and the active codebase. Diffusers only needs this
10
+ module to expose `BooguImageTransformer2DModel` for
11
+ `model_index.json`, so this file intentionally re-exports the repository class.
12
+ """
13
+
14
+ try:
15
+ from boogu.models.transformers.transformer_boogu import (
16
+ BooguImageTransformer2DModel,
17
+ PromptEmbedding,
18
+ )
19
+ except ModuleNotFoundError as exc:
20
+ if exc.name != "boogu":
21
+ raise
22
+ raise ModuleNotFoundError(
23
+ "Failed to import the canonical Boogu transformer implementation. "
24
+ "Run inference from the Boogu-Image repository root "
25
+ "or add that directory to PYTHONPATH before loading the pipeline."
26
+ ) from exc
27
+
28
+
29
+ __all__ = [
30
+ "BooguImageTransformer2DModel",
31
+ "PromptEmbedding",
32
+ ]
vae/config.json ADDED
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1
+ {
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+ "_class_name": "AutoencoderKL",
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+ "_diffusers_version": "0.35.2",
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+ "_name_or_path": "/share_2/luoxin/modelscope/hub/models/FLUX.1-dev",
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+ "act_fn": "silu",
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+ "block_out_channels": [
7
+ 128,
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+ 256,
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+ 512,
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+ 512
11
+ ],
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+ "down_block_types": [
13
+ "DownEncoderBlock2D",
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+ "DownEncoderBlock2D",
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+ "DownEncoderBlock2D",
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+ "DownEncoderBlock2D"
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+ ],
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+ "force_upcast": true,
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+ "in_channels": 3,
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+ "latent_channels": 16,
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+ "latents_mean": null,
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+ "latents_std": null,
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+ "layers_per_block": 2,
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+ "mid_block_add_attention": true,
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+ "norm_num_groups": 32,
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+ "out_channels": 3,
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+ "sample_size": 1024,
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+ "scaling_factor": 0.3611,
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+ "shift_factor": 0.1159,
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+ "up_block_types": [
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+ "UpDecoderBlock2D",
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+ "UpDecoderBlock2D",
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+ "UpDecoderBlock2D",
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+ "UpDecoderBlock2D"
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+ ],
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+ "use_post_quant_conv": false,
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+ "use_quant_conv": false
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+ }
vae/diffusion_pytorch_model.safetensors ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:8c717328c8ad41faab2ccfd52ae17332505c6833cf176aad56e7b58f2c4d4c94
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+ size 335306212