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Browse files- .gitattributes +5 -0
- README.md +190 -0
- assets/performance_overview.png +3 -0
- assets/system_overview.png +3 -0
- assets/training_pipeline.png +3 -0
- assets/ui-venus-logo.png +3 -0
- chat_template.jinja +154 -0
- config.json +113 -0
- generation_config.json +9 -0
- model-00001-of-00004.safetensors +3 -0
- model-00002-of-00004.safetensors +3 -0
- model-00003-of-00004.safetensors +3 -0
- model-00004-of-00004.safetensors +3 -0
- model.safetensors.index.json +768 -0
- preprocessor_config.json +21 -0
- processor_config.json +63 -0
- tokenizer.json +3 -0
- tokenizer_config.json +32 -0
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README.md
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---
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license: apache-2.0
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| 1 |
---
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| 2 |
license: apache-2.0
|
| 3 |
+
pipeline_tag: image-text-to-text
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| 4 |
+
library_name: transformers
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| 5 |
+
tags:
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| 6 |
+
- multimodal
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| 7 |
+
- gui
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| 8 |
+
- agent
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| 9 |
---
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| 10 |
+
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| 11 |
+
# UI-Venus-2-9B
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| 12 |
+
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| 13 |
+
<div align="center">
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| 14 |
+
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| 15 |
+
[](https://opensource.org/licenses/Apache-2.0)
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| 16 |
+
<!-- TODO: replace XXXX.XXXXX with the arXiv ID once the technical report is public -->
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| 17 |
+
[](https://arxiv.org/abs/XXXX.XXXXX)
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| 18 |
+
<!-- TODO: confirm the project-page URL once deployed -->
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| 19 |
+
[](https://ui-venus.github.io/UI-Venus-2/)
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| 20 |
+
[](https://github.com/inclusionAI/UI-Venus)
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| 21 |
+
[](https://huggingface.co/collections/inclusionAI/ui-venus)
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| 22 |
+
|
| 23 |
+
</div>
|
| 24 |
+
|
| 25 |
+
**UI-Venus-2** is a general-purpose foundation GUI agent designed to operate across **mobile applications, web platforms, and desktop operating systems** through a unified closed-loop reasoning–action framework: the agent observes the current interface, reasons about the task state, executes an action, and incorporates environmental feedback into its next decision.
|
| 26 |
+
|
| 27 |
+
To bridge the gap from benchmark-oriented models toward dependable real-world applications, UI-Venus-2 jointly scales three critical dimensions:
|
| 28 |
+
|
| 29 |
+
- **Environments** — expanding coverage to 170+ multilingual mobile apps (100+ Chinese and 70+ English), 50k+ live websites, and native desktop OS with 50+ professional applications;
|
| 30 |
+
- **Tasks** — a deep-research pipeline that grounds generated instructions in the actual functionality of each application, improving the accuracy, validity, and executability of task queries;
|
| 31 |
+
- **Verification** — trace-level and sample-level evaluators based on task-relevant **visual keypoints** and **multi-model voting**, providing reliable RL reward signals that are robust to reward hacking.
|
| 32 |
+
|
| 33 |
+
UI-Venus-2 further integrates **safety-aware mechanisms** to ensure controlled execution of consequential actions, bringing the attack success rate on OSBlind down from 90%+ (typical of prior GUI agents) to 12.3%.
|
| 34 |
+
|
| 35 |
+
This repository releases the full-parameter weights of **UI-Venus-2-9B**, initialized from [Qwen3.5-9B](https://huggingface.co/Qwen/Qwen3.5-9B), which achieves near state-of-the-art performance among models of comparable scale across GUI grounding, mobile, web, computer-use, and CAPTCHA benchmarks.
|
| 36 |
+
|
| 37 |
+
## Highlights
|
| 38 |
+
|
| 39 |
+
- **Scaled multilingual mobile-use environments with reliable task generation.** A substantially expanded executable mobile pool covering Chinese and English app ecosystems, paired with a deep-research-driven query-generation strategy grounded in real application functionality.
|
| 40 |
+
- **Computer-use capability built from the ground up.** Dedicated desktop operating-system capabilities constructed from scratch through computer-use data collection and task-specific training, extending the UI-Venus family to mobile, web, and OS interaction in one unified end-to-end agent.
|
| 41 |
+
- **Keypoint-grounded verification.** Task completion is judged on task-relevant visual keypoints rather than a coarse holistic look at the final screen, with multi-model voting aggregating heterogeneous judges — reducing single-judge bias and making the reward signal robust to reward hacking.
|
| 42 |
+
- **Verification-augmented reflection.** Verified feedback is distilled back into training as reflection supervision, so the agent can distinguish partial progress from true completion, avoid premature termination, and recover during long-horizon interaction.
|
| 43 |
+
|
| 44 |
+
## Training Pipeline
|
| 45 |
+
|
| 46 |
+
UI-Venus-2 is trained on a deliberately complementary mixture of five task families — **Grounding, CAPTCHA, Mobile, Web, and Computer** — through three stages:
|
| 47 |
+
|
| 48 |
+
1. **Multimodal Mid-Training** — large-scale trajectory-based mid-training over simulated mobile, web, and OS environments, with human–discriminator collaborative verification filtering invalid or ambiguous interactions, plus programmatically synthesized grounding and CAPTCHA supervision.
|
| 49 |
+
2. **Offline RL** — step-level RL trajectories for Mobile, OS, and Web optimize state-aware action selection and execution reliability, while verified CAPTCHA and grounding instances embedded in realistic interfaces teach precise localization under visual clutter.
|
| 50 |
+
3. **Multi-teacher On-policy Distillation** — domain-specialized teachers are consolidated into a single unified policy that preserves the broad multimodal reasoning of the base model while composing spatial grounding, verified interaction, and long-horizon navigation.
|
| 51 |
+
|
| 52 |
+
## Quick Start
|
| 53 |
+
|
| 54 |
+
### Serving with vLLM
|
| 55 |
+
|
| 56 |
+
```bash
|
| 57 |
+
pip install -U vllm
|
| 58 |
+
|
| 59 |
+
vllm serve inclusionAI/UI-Venus-2-9B \
|
| 60 |
+
--port 8000 \
|
| 61 |
+
--tensor-parallel-size 1 \
|
| 62 |
+
--max-model-len 262144 \
|
| 63 |
+
--reasoning-parser qwen3
|
| 64 |
+
```
|
| 65 |
+
|
| 66 |
+
The server exposes an OpenAI-compatible API at `http://localhost:8000/v1`.
|
| 67 |
+
|
| 68 |
+
For the full agent scaffolding — grounding / navigation prompts, the action space, ADB / Playwright / VM deployment, and evaluation infrastructure — please refer to our [GitHub repository](https://github.com/inclusionAI/UI-Venus).
|
| 69 |
+
|
| 70 |
+
## Results
|
| 71 |
+
|
| 72 |
+
Key results per domain, with strong published baselines for context. A dash denotes a result not currently reported. Best result per benchmark in **bold**. Full comparison tables and metric definitions are available in the technical report.
|
| 73 |
+
|
| 74 |
+
### Mobile Use
|
| 75 |
+
|
| 76 |
+
Success rate (%) on online, interactive mobile-agent benchmarks.
|
| 77 |
+
|
| 78 |
+
| Model | AndroidWorld | MobileWorld | VenusBench-Mobile |
|
| 79 |
+
|---|:---:|:---:|:---:|
|
| 80 |
+
| **UI-Venus-2-9B (ours)** | 80.2 | 65.8 | 46.5 |
|
| 81 |
+
| UI-Venus-2-27B | **84.0** | 76.1 | **48.7** |
|
| 82 |
+
| UI-Venus-1.5-30B-A3B | 77.6 | — | 21.5 |
|
| 83 |
+
| Qwen-UI-Agent-27B | — | **82.1** | — |
|
| 84 |
+
| Qwen3.6-27B | 70.3 | — | 28.0 |
|
| 85 |
+
| MAI-UI-8B | 70.7 | — | — |
|
| 86 |
+
| GUI-Owl-1.5-32B-Instruct | 69.8 | — | — |
|
| 87 |
+
| Claude Opus 4.6 | — | 44.5 | 36.5 |
|
| 88 |
+
| Kimi K2.6 | — | 55.6 | 31.2 |
|
| 89 |
+
| Seed2.0 Pro | — | 63.2 | — |
|
| 90 |
+
|
| 91 |
+
### Computer Use
|
| 92 |
+
|
| 93 |
+
Success rate (%) on open-ended tasks in real desktop environments.
|
| 94 |
+
|
| 95 |
+
| Model | OSWorld-Verified | DeskCraft |
|
| 96 |
+
|---|:---:|:---:|
|
| 97 |
+
| **UI-Venus-2-9B (ours)** | 70.8 | 48.0 |
|
| 98 |
+
| UI-Venus-2-27B | **80.5** | **55.5** |
|
| 99 |
+
| Qwen-UI-Agent-27B | 79.5 | — |
|
| 100 |
+
| Kimi K2.6 | 73.1 | 41.4 |
|
| 101 |
+
| Qwen3.6-27B | 62.0 | 28.7 |
|
| 102 |
+
| GUI-Owl-1.5-32B-Instruct | 56.5 | — |
|
| 103 |
+
| Seed2.0 Pro | — | 40.0 |
|
| 104 |
+
| Qwen3.5-9B | — | 14.6 |
|
| 105 |
+
|
| 106 |
+
### Web Navigation
|
| 107 |
+
|
| 108 |
+
Success rate (%) on end-to-end web navigation; Odysseys reports the average rubric score (%).
|
| 109 |
+
|
| 110 |
+
| Model | WebVoyager | Online-Mind2Web | REAL | Odysseys |
|
| 111 |
+
|---|:---:|:---:|:---:|:---:|
|
| 112 |
+
| **UI-Venus-2-9B (ours)** | 90.8 | 74.0 | 76.9 | 77.3 |
|
| 113 |
+
| UI-Venus-2-27B | **93.4** | **78.3** | **80.2** | **80.4** |
|
| 114 |
+
| UI-Venus-1.5-30B-A3B | — | — | 38.0 | — |
|
| 115 |
+
| Fara-1.5-27B | 89.3 | 72.3 | — | — |
|
| 116 |
+
| GLM-5V-Turbo | 88.5 | — | — | — |
|
| 117 |
+
| Claude Opus 4.6 | 88.0 | — | — | 68.9 |
|
| 118 |
+
| Seed-2.0 | 85.1 | 68.5 | 74.4 | 60.2 |
|
| 119 |
+
| UI-TARS-1.5 | — | 75.8 | — | — |
|
| 120 |
+
| OpenAI Operator | — | 61.3 | — | — |
|
| 121 |
+
| Kimi K2.6 | — | — | 74.4 | — |
|
| 122 |
+
|
| 123 |
+
### GUI Grounding
|
| 124 |
+
|
| 125 |
+
Accuracy (%) on element localization across high-resolution professional software, mobile / web / desktop interfaces, and reasoning-heavy instructions.
|
| 126 |
+
|
| 127 |
+
| Model | ScreenSpot-Pro | VenusBench-GD | OSWorld-G-R | UI-Vision |
|
| 128 |
+
|---|:---:|:---:|:---:|:---:|
|
| 129 |
+
| **UI-Venus-2-9B (ours)** | 73.0 | 77.1 | 78.5 | 53.2 |
|
| 130 |
+
| UI-Venus-2-27B | **74.1** | **80.1** | **79.1** | 66.9 |
|
| 131 |
+
| UI-Venus-1.5-30B-A3B | — | 75.0 | 76.4 | 54.7 |
|
| 132 |
+
| UI-Venus-1.0-72B | — | 70.2 | — | — |
|
| 133 |
+
| Qwen-UI-Agent-27B | — | — | 78.5 | **70.0** |
|
| 134 |
+
| Qwen 3.7 Plus | 68.9 | — | 78.2 | 68.0 |
|
| 135 |
+
| MAI-UI-32B | 67.9 | — | — | — |
|
| 136 |
+
| Holo2-30B-A3B | 66.1 | 59.5 | — | — |
|
| 137 |
+
| Seed 2.1 Pro | 65.3 | — | 78.0 | 62.0 |
|
| 138 |
+
| Step-GUI-4B | — | 54.6 | — | — |
|
| 139 |
+
|
| 140 |
+
### CAPTCHA Solving
|
| 141 |
+
|
| 142 |
+
Pass@1 (%) across eight real-world CAPTCHA families — slider puzzles, image rotation, text and icon click, OCR entry, and visual reasoning — emitting the full multi-action sequence in a single turn.
|
| 143 |
+
|
| 144 |
+
| Model | Spatial-CAPTCHA-Bench | MCA-Bench | NextGen-CAPTCHAs | OpenCaptcha |
|
| 145 |
+
|---|:---:|:---:|:---:|:---:|
|
| 146 |
+
| **UI-Venus-2-9B (ours)** | 42.8 | 75.7 | 47.6 | 50.7 |
|
| 147 |
+
| UI-Venus-2-27B | **48.6** | **79.6** | **54.5** | **56.3** |
|
| 148 |
+
| Doubao-Seed-2.0-Pro | 43.6 | 35.5 | 20.4 | 55.6 |
|
| 149 |
+
| Qwen3.6-27B | 31.0 | 51.7 | 14.1 | 47.7 |
|
| 150 |
+
| Kimi K2.6 | 24.8 | 38.7 | 7.2 | 47.8 |
|
| 151 |
+
| Claude Opus 4.6 | 9.5 | — | — | — |
|
| 152 |
+
| Qwen3.5-9B | — | 30.4 | 2.8 | 36.4 |
|
| 153 |
+
|
| 154 |
+
### Safety
|
| 155 |
+
|
| 156 |
+
OSBlind evaluates susceptibility to safety blind spots: benign-looking instructions in realistic desktop environments that can lead to unintended harmful outcomes, measured by Attack Success Rate (ASR, lower is better).
|
| 157 |
+
|
| 158 |
+
| Model | OSBlind ASR (%) ↓ |
|
| 159 |
+
|---|:---:|
|
| 160 |
+
| UI-Venus-2-27B | **12.3** |
|
| 161 |
+
| **UI-Venus-2-9B (ours)** | 18.5 |
|
| 162 |
+
| Claude 4.5 Sonnet | 73.0 |
|
| 163 |
+
| OpenCUA-32B | 91.8 |
|
| 164 |
+
| GPT-4o | 93.3 |
|
| 165 |
+
| UI-TARS-1.5-7B | 95.2 |
|
| 166 |
+
|
| 167 |
+
## Citation
|
| 168 |
+
|
| 169 |
+
If you find UI-Venus-2 useful, please cite our technical reports:
|
| 170 |
+
|
| 171 |
+
<!-- TODO: update the arXiv identifier once the UI-Venus-2 report is public -->
|
| 172 |
+
```bibtex
|
| 173 |
+
@article{uivenus2026,
|
| 174 |
+
title = {UI-Venus-2 Technical Report},
|
| 175 |
+
author = {{Venus Team, Ant Group}},
|
| 176 |
+
journal = {arXiv preprint arXiv:XXXX.XXXXX},
|
| 177 |
+
year = {2026}
|
| 178 |
+
}
|
| 179 |
+
|
| 180 |
+
@article{uivenus15,
|
| 181 |
+
title = {UI-Venus-1.5 Technical Report},
|
| 182 |
+
author = {{Venus Team, Ant Group}},
|
| 183 |
+
journal = {arXiv preprint arXiv:2602.09082},
|
| 184 |
+
year = {2026}
|
| 185 |
+
}
|
| 186 |
+
|
| 187 |
+
@article{uivenus2025,
|
| 188 |
+
title = {UI-Venus Technical Report: Building High-performance UI Agents with RFT},
|
| 189 |
+
author = {{Venus Team, Ant Group}},
|
| 190 |
+
journal = {arXiv preprint arXiv:2508.10833},
|
| 191 |
+
year = {2025}
|
| 192 |
+
}
|
| 193 |
+
```
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assets/performance_overview.png
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assets/system_overview.png
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|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- set image_count = namespace(value=0) %}
|
| 2 |
+
{%- set video_count = namespace(value=0) %}
|
| 3 |
+
{%- macro render_content(content, do_vision_count, is_system_content=false) %}
|
| 4 |
+
{%- if content is string %}
|
| 5 |
+
{{- content }}
|
| 6 |
+
{%- elif content is iterable and content is not mapping %}
|
| 7 |
+
{%- for item in content %}
|
| 8 |
+
{%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
|
| 9 |
+
{%- if is_system_content %}
|
| 10 |
+
{{- raise_exception('System message cannot contain images.') }}
|
| 11 |
+
{%- endif %}
|
| 12 |
+
{%- if do_vision_count %}
|
| 13 |
+
{%- set image_count.value = image_count.value + 1 %}
|
| 14 |
+
{%- endif %}
|
| 15 |
+
{%- if add_vision_id %}
|
| 16 |
+
{{- 'Picture ' ~ image_count.value ~ ': ' }}
|
| 17 |
+
{%- endif %}
|
| 18 |
+
{{- '<|vision_start|><|image_pad|><|vision_end|>' }}
|
| 19 |
+
{%- elif 'video' in item or item.type == 'video' %}
|
| 20 |
+
{%- if is_system_content %}
|
| 21 |
+
{{- raise_exception('System message cannot contain videos.') }}
|
| 22 |
+
{%- endif %}
|
| 23 |
+
{%- if do_vision_count %}
|
| 24 |
+
{%- set video_count.value = video_count.value + 1 %}
|
| 25 |
+
{%- endif %}
|
| 26 |
+
{%- if add_vision_id %}
|
| 27 |
+
{{- 'Video ' ~ video_count.value ~ ': ' }}
|
| 28 |
+
{%- endif %}
|
| 29 |
+
{{- '<|vision_start|><|video_pad|><|vision_end|>' }}
|
| 30 |
+
{%- elif 'text' in item %}
|
| 31 |
+
{{- item.text }}
|
| 32 |
+
{%- else %}
|
| 33 |
+
{{- raise_exception('Unexpected item type in content.') }}
|
| 34 |
+
{%- endif %}
|
| 35 |
+
{%- endfor %}
|
| 36 |
+
{%- elif content is none or content is undefined %}
|
| 37 |
+
{{- '' }}
|
| 38 |
+
{%- else %}
|
| 39 |
+
{{- raise_exception('Unexpected content type.') }}
|
| 40 |
+
{%- endif %}
|
| 41 |
+
{%- endmacro %}
|
| 42 |
+
{%- if not messages %}
|
| 43 |
+
{{- raise_exception('No messages provided.') }}
|
| 44 |
+
{%- endif %}
|
| 45 |
+
{%- if tools and tools is iterable and tools is not mapping %}
|
| 46 |
+
{{- '<|im_start|>system\n' }}
|
| 47 |
+
{{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
|
| 48 |
+
{%- for tool in tools %}
|
| 49 |
+
{{- "\n" }}
|
| 50 |
+
{{- tool | tojson }}
|
| 51 |
+
{%- endfor %}
|
| 52 |
+
{{- "\n</tools>" }}
|
| 53 |
+
{{- '\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>' }}
|
| 54 |
+
{%- if messages[0].role == 'system' %}
|
| 55 |
+
{%- set content = render_content(messages[0].content, false, true)|trim %}
|
| 56 |
+
{%- if content %}
|
| 57 |
+
{{- '\n\n' + content }}
|
| 58 |
+
{%- endif %}
|
| 59 |
+
{%- endif %}
|
| 60 |
+
{{- '<|im_end|>\n' }}
|
| 61 |
+
{%- else %}
|
| 62 |
+
{%- if messages[0].role == 'system' %}
|
| 63 |
+
{%- set content = render_content(messages[0].content, false, true)|trim %}
|
| 64 |
+
{{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
|
| 65 |
+
{%- endif %}
|
| 66 |
+
{%- endif %}
|
| 67 |
+
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
| 68 |
+
{%- for message in messages[::-1] %}
|
| 69 |
+
{%- set index = (messages|length - 1) - loop.index0 %}
|
| 70 |
+
{%- if ns.multi_step_tool and message.role == "user" %}
|
| 71 |
+
{%- set content = render_content(message.content, false)|trim %}
|
| 72 |
+
{%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
|
| 73 |
+
{%- set ns.multi_step_tool = false %}
|
| 74 |
+
{%- set ns.last_query_index = index %}
|
| 75 |
+
{%- endif %}
|
| 76 |
+
{%- endif %}
|
| 77 |
+
{%- endfor %}
|
| 78 |
+
{%- if ns.multi_step_tool %}
|
| 79 |
+
{{- raise_exception('No user query found in messages.') }}
|
| 80 |
+
{%- endif %}
|
| 81 |
+
{%- for message in messages %}
|
| 82 |
+
{%- set content = render_content(message.content, true)|trim %}
|
| 83 |
+
{%- if message.role == "system" %}
|
| 84 |
+
{%- if not loop.first %}
|
| 85 |
+
{{- raise_exception('System message must be at the beginning.') }}
|
| 86 |
+
{%- endif %}
|
| 87 |
+
{%- elif message.role == "user" %}
|
| 88 |
+
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
|
| 89 |
+
{%- elif message.role == "assistant" %}
|
| 90 |
+
{%- set reasoning_content = '' %}
|
| 91 |
+
{%- if message.reasoning_content is string %}
|
| 92 |
+
{%- set reasoning_content = message.reasoning_content %}
|
| 93 |
+
{%- else %}
|
| 94 |
+
{%- if '</think>' in content %}
|
| 95 |
+
{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
|
| 96 |
+
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
|
| 97 |
+
{%- endif %}
|
| 98 |
+
{%- endif %}
|
| 99 |
+
{%- set reasoning_content = reasoning_content|trim %}
|
| 100 |
+
{%- if reasoning_content %}
|
| 101 |
+
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
|
| 102 |
+
{%- else %}
|
| 103 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 104 |
+
{%- endif %}
|
| 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 %}
|
| 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 %}
|
| 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 false %}
|
| 150 |
+
{{- '<think>\n\n</think>\n\n' }}
|
| 151 |
+
{%- else %}
|
| 152 |
+
{{- '<think>\n' }}
|
| 153 |
+
{%- endif %}
|
| 154 |
+
{%- endif %}
|
config.json
ADDED
|
@@ -0,0 +1,113 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3_5ForConditionalGeneration"
|
| 4 |
+
],
|
| 5 |
+
"dtype": "bfloat16",
|
| 6 |
+
"eos_token_id": 248046,
|
| 7 |
+
"hidden_size": 4096,
|
| 8 |
+
"image_token_id": 248056,
|
| 9 |
+
"model_type": "qwen3_5",
|
| 10 |
+
"pad_token_id": 248044,
|
| 11 |
+
"text_config": {
|
| 12 |
+
"attention_bias": false,
|
| 13 |
+
"attention_dropout": 0.0,
|
| 14 |
+
"attn_output_gate": true,
|
| 15 |
+
"bos_token_id": null,
|
| 16 |
+
"dtype": "bfloat16",
|
| 17 |
+
"eos_token_id": 248044,
|
| 18 |
+
"full_attention_interval": 4,
|
| 19 |
+
"head_dim": 256,
|
| 20 |
+
"hidden_act": "silu",
|
| 21 |
+
"hidden_size": 4096,
|
| 22 |
+
"initializer_range": 0.02,
|
| 23 |
+
"intermediate_size": 12288,
|
| 24 |
+
"layer_types": [
|
| 25 |
+
"linear_attention",
|
| 26 |
+
"linear_attention",
|
| 27 |
+
"linear_attention",
|
| 28 |
+
"full_attention",
|
| 29 |
+
"linear_attention",
|
| 30 |
+
"linear_attention",
|
| 31 |
+
"linear_attention",
|
| 32 |
+
"full_attention",
|
| 33 |
+
"linear_attention",
|
| 34 |
+
"linear_attention",
|
| 35 |
+
"linear_attention",
|
| 36 |
+
"full_attention",
|
| 37 |
+
"linear_attention",
|
| 38 |
+
"linear_attention",
|
| 39 |
+
"linear_attention",
|
| 40 |
+
"full_attention",
|
| 41 |
+
"linear_attention",
|
| 42 |
+
"linear_attention",
|
| 43 |
+
"linear_attention",
|
| 44 |
+
"full_attention",
|
| 45 |
+
"linear_attention",
|
| 46 |
+
"linear_attention",
|
| 47 |
+
"linear_attention",
|
| 48 |
+
"full_attention",
|
| 49 |
+
"linear_attention",
|
| 50 |
+
"linear_attention",
|
| 51 |
+
"linear_attention",
|
| 52 |
+
"full_attention",
|
| 53 |
+
"linear_attention",
|
| 54 |
+
"linear_attention",
|
| 55 |
+
"linear_attention",
|
| 56 |
+
"full_attention"
|
| 57 |
+
],
|
| 58 |
+
"linear_conv_kernel_dim": 4,
|
| 59 |
+
"linear_key_head_dim": 128,
|
| 60 |
+
"linear_num_key_heads": 16,
|
| 61 |
+
"linear_num_value_heads": 32,
|
| 62 |
+
"linear_value_head_dim": 128,
|
| 63 |
+
"mamba_ssm_dtype": "float32",
|
| 64 |
+
"max_position_embeddings": 262144,
|
| 65 |
+
"mlp_only_layers": [],
|
| 66 |
+
"model_type": "qwen3_5_text",
|
| 67 |
+
"mtp_num_hidden_layers": 1,
|
| 68 |
+
"mtp_use_dedicated_embeddings": false,
|
| 69 |
+
"num_attention_heads": 16,
|
| 70 |
+
"num_hidden_layers": 32,
|
| 71 |
+
"num_key_value_heads": 4,
|
| 72 |
+
"pad_token_id": 248044,
|
| 73 |
+
"partial_rotary_factor": 0.25,
|
| 74 |
+
"rms_norm_eps": 1e-06,
|
| 75 |
+
"rope_parameters": {
|
| 76 |
+
"mrope_interleaved": true,
|
| 77 |
+
"mrope_section": [
|
| 78 |
+
11,
|
| 79 |
+
11,
|
| 80 |
+
10
|
| 81 |
+
],
|
| 82 |
+
"partial_rotary_factor": 0.25,
|
| 83 |
+
"rope_theta": 10000000,
|
| 84 |
+
"rope_type": "default"
|
| 85 |
+
},
|
| 86 |
+
"tie_word_embeddings": false,
|
| 87 |
+
"use_cache": false,
|
| 88 |
+
"vocab_size": 248320
|
| 89 |
+
},
|
| 90 |
+
"tie_word_embeddings": false,
|
| 91 |
+
"transformers_version": "5.5.4",
|
| 92 |
+
"use_cache": false,
|
| 93 |
+
"video_token_id": 248057,
|
| 94 |
+
"vision_config": {
|
| 95 |
+
"deepstack_visual_indexes": [],
|
| 96 |
+
"depth": 27,
|
| 97 |
+
"dtype": "bfloat16",
|
| 98 |
+
"hidden_act": "gelu_pytorch_tanh",
|
| 99 |
+
"hidden_size": 1152,
|
| 100 |
+
"in_channels": 3,
|
| 101 |
+
"initializer_range": 0.02,
|
| 102 |
+
"intermediate_size": 4304,
|
| 103 |
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"model_type": "qwen3_5",
|
| 104 |
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"num_heads": 16,
|
| 105 |
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"num_position_embeddings": 2304,
|
| 106 |
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"out_hidden_size": 4096,
|
| 107 |
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"patch_size": 16,
|
| 108 |
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"spatial_merge_size": 2,
|
| 109 |
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"temporal_patch_size": 2
|
| 110 |
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},
|
| 111 |
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"vision_end_token_id": 248054,
|
| 112 |
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"vision_start_token_id": 248053
|
| 113 |
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}
|
generation_config.json
ADDED
|
@@ -0,0 +1,9 @@
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{
|
| 2 |
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"_from_model_config": true,
|
| 3 |
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"eos_token_id": [
|
| 4 |
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248044,
|
| 5 |
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248046
|
| 6 |
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],
|
| 7 |
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"transformers_version": "5.5.4",
|
| 8 |
+
"use_cache": true
|
| 9 |
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}
|
model-00001-of-00004.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:6e19364616d0915dc0220158ceb3b5e6c86483470ad8b8a97971f9946feac538
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| 3 |
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size 4942706120
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model-00002-of-00004.safetensors
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version https://git-lfs.github.com/spec/v1
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size 4987757928
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model-00003-of-00004.safetensors
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version https://git-lfs.github.com/spec/v1
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model-00004-of-00004.safetensors
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version https://git-lfs.github.com/spec/v1
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size 3934446832
|
model.safetensors.index.json
ADDED
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@@ -0,0 +1,768 @@
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| 759 |
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| 760 |
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|
| 761 |
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|
| 762 |
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|
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|
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|
| 766 |
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|
| 767 |
+
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|
| 768 |
+
}
|
preprocessor_config.json
ADDED
|
@@ -0,0 +1,21 @@
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|
| 1 |
+
{
|
| 2 |
+
"size": {
|
| 3 |
+
"longest_edge": 16777216,
|
| 4 |
+
"shortest_edge": 65536
|
| 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 |
+
"image_processor_type": "Qwen2VLImageProcessorFast"
|
| 21 |
+
}
|
processor_config.json
ADDED
|
@@ -0,0 +1,63 @@
|
|
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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 |
+
"data_format": "channels_first",
|
| 4 |
+
"do_convert_rgb": true,
|
| 5 |
+
"do_normalize": true,
|
| 6 |
+
"do_rescale": true,
|
| 7 |
+
"do_resize": true,
|
| 8 |
+
"image_mean": [
|
| 9 |
+
0.5,
|
| 10 |
+
0.5,
|
| 11 |
+
0.5
|
| 12 |
+
],
|
| 13 |
+
"image_processor_type": "Qwen2VLImageProcessor",
|
| 14 |
+
"image_std": [
|
| 15 |
+
0.5,
|
| 16 |
+
0.5,
|
| 17 |
+
0.5
|
| 18 |
+
],
|
| 19 |
+
"merge_size": 2,
|
| 20 |
+
"patch_size": 16,
|
| 21 |
+
"resample": 3,
|
| 22 |
+
"rescale_factor": 0.00392156862745098,
|
| 23 |
+
"size": {
|
| 24 |
+
"longest_edge": 16777216,
|
| 25 |
+
"shortest_edge": 65536
|
| 26 |
+
},
|
| 27 |
+
"temporal_patch_size": 2
|
| 28 |
+
},
|
| 29 |
+
"processor_class": "Qwen3VLProcessor",
|
| 30 |
+
"video_processor": {
|
| 31 |
+
"data_format": "channels_first",
|
| 32 |
+
"default_to_square": true,
|
| 33 |
+
"do_convert_rgb": true,
|
| 34 |
+
"do_normalize": true,
|
| 35 |
+
"do_rescale": true,
|
| 36 |
+
"do_resize": true,
|
| 37 |
+
"do_sample_frames": true,
|
| 38 |
+
"fps": 2,
|
| 39 |
+
"image_mean": [
|
| 40 |
+
0.5,
|
| 41 |
+
0.5,
|
| 42 |
+
0.5
|
| 43 |
+
],
|
| 44 |
+
"image_std": [
|
| 45 |
+
0.5,
|
| 46 |
+
0.5,
|
| 47 |
+
0.5
|
| 48 |
+
],
|
| 49 |
+
"max_frames": 768,
|
| 50 |
+
"merge_size": 2,
|
| 51 |
+
"min_frames": 4,
|
| 52 |
+
"patch_size": 16,
|
| 53 |
+
"resample": 3,
|
| 54 |
+
"rescale_factor": 0.00392156862745098,
|
| 55 |
+
"return_metadata": false,
|
| 56 |
+
"size": {
|
| 57 |
+
"longest_edge": 25165824,
|
| 58 |
+
"shortest_edge": 4096
|
| 59 |
+
},
|
| 60 |
+
"temporal_patch_size": 2,
|
| 61 |
+
"video_processor_type": "Qwen3VLVideoProcessor"
|
| 62 |
+
}
|
| 63 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:87a7830d63fcf43bf241c3c5242e96e62dd3fdc29224ca26fed8ea333db72de4
|
| 3 |
+
size 19989343
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
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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 |
+
"add_prefix_space": false,
|
| 3 |
+
"audio_bos_token": "<|audio_start|>",
|
| 4 |
+
"audio_eos_token": "<|audio_end|>",
|
| 5 |
+
"audio_token": "<|audio_pad|>",
|
| 6 |
+
"backend": "tokenizers",
|
| 7 |
+
"bos_token": null,
|
| 8 |
+
"clean_up_tokenization_spaces": false,
|
| 9 |
+
"eos_token": "<|im_end|>",
|
| 10 |
+
"errors": "replace",
|
| 11 |
+
"image_token": "<|image_pad|>",
|
| 12 |
+
"is_local": true,
|
| 13 |
+
"model_max_length": 262144,
|
| 14 |
+
"model_specific_special_tokens": {
|
| 15 |
+
"audio_bos_token": "<|audio_start|>",
|
| 16 |
+
"audio_eos_token": "<|audio_end|>",
|
| 17 |
+
"audio_token": "<|audio_pad|>",
|
| 18 |
+
"image_token": "<|image_pad|>",
|
| 19 |
+
"video_token": "<|video_pad|>",
|
| 20 |
+
"vision_bos_token": "<|vision_start|>",
|
| 21 |
+
"vision_eos_token": "<|vision_end|>"
|
| 22 |
+
},
|
| 23 |
+
"pad_token": "<|endoftext|>",
|
| 24 |
+
"pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
|
| 25 |
+
"processor_class": "Qwen3VLProcessor",
|
| 26 |
+
"split_special_tokens": false,
|
| 27 |
+
"tokenizer_class": "TokenizersBackend",
|
| 28 |
+
"unk_token": null,
|
| 29 |
+
"video_token": "<|video_pad|>",
|
| 30 |
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"vision_bos_token": "<|vision_start|>",
|
| 31 |
+
"vision_eos_token": "<|vision_end|>"
|
| 32 |
+
}
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