Swaylen Hayes commited on
Add files using upload-large-folder tool
Browse files- .gitattributes +1 -0
- README.md +165 -0
- chat_template.jinja +7 -0
- chat_template.json +3 -0
- config.json +63 -0
- generation_config.json +14 -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 +736 -0
- preprocessor_config.json +19 -0
- processor_config.json +63 -0
- tokenizer.json +3 -0
- tokenizer_config.json +31 -0
- vocab.json +0 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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| 1 |
+
---
|
| 2 |
+
language:
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| 3 |
+
- en
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| 4 |
+
license: mit
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| 5 |
+
library_name: mlx
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| 6 |
+
pipeline_tag: image-text-to-text
|
| 7 |
+
base_model: mPLUG/GUI-Owl-7B
|
| 8 |
+
tags:
|
| 9 |
+
- mlx
|
| 10 |
+
- mlx-vlm
|
| 11 |
+
- safetensors
|
| 12 |
+
- apple-silicon
|
| 13 |
+
- conversational
|
| 14 |
+
- gui
|
| 15 |
+
- vision-language-model
|
| 16 |
+
- qwen2_5_vl
|
| 17 |
+
- gui-owl
|
| 18 |
+
- mobile-agent-v3
|
| 19 |
+
- computer-use
|
| 20 |
+
- grounding
|
| 21 |
+
- osworld
|
| 22 |
+
- screenspot
|
| 23 |
+
- bf16
|
| 24 |
+
---
|
| 25 |
+
|
| 26 |
+
# GUI-Owl-7B bf16
|
| 27 |
+
|
| 28 |
+
This is an MLX conversion of [mPLUG/GUI-Owl-7B](https://huggingface.co/mPLUG/GUI-Owl-7B), optimized for Apple Silicon.
|
| 29 |
+
|
| 30 |
+
GUI-Owl is a GUI automation model family developed as part of the Mobile-Agent-V3 project. Upstream, it is positioned for screen understanding, GUI grounding, and agentic action planning across benchmark suites such as ScreenSpot and OSWorld-style tasks.
|
| 31 |
+
|
| 32 |
+
This MLX artifact was converted with `mlx-vlm` and validated locally with both `mlx_vlm` prompt-packet checks and `vllm-mlx` OpenAI-compatible serve checks.
|
| 33 |
+
|
| 34 |
+
## Conversion Details
|
| 35 |
+
|
| 36 |
+
| Field | Value |
|
| 37 |
+
|---|---|
|
| 38 |
+
| Upstream model | `mPLUG/GUI-Owl-7B` |
|
| 39 |
+
| Artifact type | `bf16 MLX conversion` |
|
| 40 |
+
| Source posture | `direct upstream conversion` |
|
| 41 |
+
| Conversion tool | `mlx_vlm.convert` via `mlx-vlm 0.3.12` |
|
| 42 |
+
| Python | `3.11.14` |
|
| 43 |
+
| MLX | `0.31.0` |
|
| 44 |
+
| Transformers | `5.2.0` |
|
| 45 |
+
| Validation backend | `vllm-mlx (phase/p1 @ 8a5d41b)` |
|
| 46 |
+
| Quantization | `bf16` |
|
| 47 |
+
| Group size | `n/a` |
|
| 48 |
+
| Quantization mode | `n/a` |
|
| 49 |
+
| Artifact size | `15.47G` |
|
| 50 |
+
| Template repair | `tokenizer_config.json["chat_template"]` was re-injected after conversion |
|
| 51 |
+
|
| 52 |
+
Additional notes:
|
| 53 |
+
|
| 54 |
+
- Direct upstream conversion from `mPLUG/GUI-Owl-7B` succeeded on `mlx-vlm 0.3.12`; no local source mirror was required.
|
| 55 |
+
- `chat_template.json`, `chat_template.jinja`, and `tokenizer_config.json["chat_template"]` were aligned for downstream compatibility checks.
|
| 56 |
+
- Root-level `preprocessor_config.json` and `processor_config.json` are present intentionally for multimodal detection compatibility.
|
| 57 |
+
|
| 58 |
+
## Validation
|
| 59 |
+
|
| 60 |
+
This artifact passed local validation in this workspace:
|
| 61 |
+
|
| 62 |
+
- `mlx_vlm` prompt-packet validation: `PASS`
|
| 63 |
+
- `vllm-mlx` OpenAI-compatible serve validation: `PASS`
|
| 64 |
+
|
| 65 |
+
Local validation notes:
|
| 66 |
+
|
| 67 |
+
- This family stayed on the original Track A packet; no ShowUI-style packet split was required.
|
| 68 |
+
- Grounding returned the right object shape, but coordinates were not normalized to the requested `0-1000` grid.
|
| 69 |
+
- Streamed answers drifted into Chinese on one serve-path check even though the non-stream answer stayed correct in English.
|
| 70 |
+
|
| 71 |
+
## Performance
|
| 72 |
+
|
| 73 |
+
- Artifact size on disk: `15.47G`
|
| 74 |
+
- Local fixed-packet `mlx_vlm` validation used about `18.12 GB` peak memory
|
| 75 |
+
- Local `vllm-mlx` serve validation completed in about `22.14s` non-stream and `23.39s` streamed
|
| 76 |
+
|
| 77 |
+
These are local validation measurements, not a full benchmark suite.
|
| 78 |
+
|
| 79 |
+
## Usage
|
| 80 |
+
|
| 81 |
+
### Install
|
| 82 |
+
|
| 83 |
+
```bash
|
| 84 |
+
pip install -U mlx-vlm
|
| 85 |
+
```
|
| 86 |
+
|
| 87 |
+
### CLI
|
| 88 |
+
|
| 89 |
+
```bash
|
| 90 |
+
python -m mlx_vlm.generate \
|
| 91 |
+
--model mlx-community/GUI-Owl-7B-bf16 \
|
| 92 |
+
--image path/to/image.png \
|
| 93 |
+
--prompt "Describe the visible controls on this screen in five short bullet points." \
|
| 94 |
+
--max-tokens 256 \
|
| 95 |
+
--temperature 0.0
|
| 96 |
+
```
|
| 97 |
+
|
| 98 |
+
### Python
|
| 99 |
+
|
| 100 |
+
```python
|
| 101 |
+
from mlx_vlm import load, generate
|
| 102 |
+
|
| 103 |
+
model, processor = load("mlx-community/GUI-Owl-7B-bf16")
|
| 104 |
+
result = generate(
|
| 105 |
+
model,
|
| 106 |
+
processor,
|
| 107 |
+
prompt="Describe the visible controls on this screen in five short bullet points.",
|
| 108 |
+
image="path/to/image.png",
|
| 109 |
+
max_tokens=256,
|
| 110 |
+
temp=0.0,
|
| 111 |
+
)
|
| 112 |
+
print(result.text)
|
| 113 |
+
```
|
| 114 |
+
|
| 115 |
+
### vllm-mlx Serve
|
| 116 |
+
|
| 117 |
+
```bash
|
| 118 |
+
python -m vllm_mlx.cli serve mlx-community/GUI-Owl-7B-bf16 --mllm --localhost --port 8000
|
| 119 |
+
```
|
| 120 |
+
|
| 121 |
+
## Links
|
| 122 |
+
|
| 123 |
+
- Upstream model: [mPLUG/GUI-Owl-7B](https://huggingface.co/mPLUG/GUI-Owl-7B)
|
| 124 |
+
- Paper: [Mobile-Agent-v3: Foundamental Agents for GUI Automation](https://arxiv.org/abs/2508.15144)
|
| 125 |
+
- Technical PDF: [Mobile-Agent-V3 Technical Report](https://github.com/X-PLUG/MobileAgent/blob/main/Mobile-Agent-v3/assets/MobileAgentV3_Tech.pdf)
|
| 126 |
+
- GitHub: [X-PLUG/MobileAgent](https://github.com/X-PLUG/MobileAgent)
|
| 127 |
+
- Base model lineage: [Qwen/Qwen2.5-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct)
|
| 128 |
+
- MLX framework: [ml-explore/mlx](https://github.com/ml-explore/mlx)
|
| 129 |
+
- mlx-vlm: [Blaizzy/mlx-vlm](https://github.com/Blaizzy/mlx-vlm)
|
| 130 |
+
|
| 131 |
+
## Other Quantizations
|
| 132 |
+
|
| 133 |
+
Planned sibling repos in this wave:
|
| 134 |
+
|
| 135 |
+
- [`mlx-community/GUI-Owl-7B-bf16`](https://huggingface.co/mlx-community/GUI-Owl-7B-bf16) - this model
|
| 136 |
+
- [`mlx-community/GUI-Owl-7B-6bit`](https://huggingface.co/mlx-community/GUI-Owl-7B-6bit)
|
| 137 |
+
|
| 138 |
+
## Notes and Limitations
|
| 139 |
+
|
| 140 |
+
- This card reports local MLX conversion and validation results only.
|
| 141 |
+
- Upstream benchmark claims belong to the original GUI-Owl family and were not re-run here unless explicitly stated.
|
| 142 |
+
- This family is better aligned to the Track A packet than ShowUI, but local validation still showed weak structured-action targeting and grounding normalization issues.
|
| 143 |
+
- Streamed response quality can diverge from the non-stream path even when the serve path itself stays healthy.
|
| 144 |
+
|
| 145 |
+
## Citation
|
| 146 |
+
|
| 147 |
+
If you use this MLX conversion, please also cite the original GUI-Owl work:
|
| 148 |
+
|
| 149 |
+
```bibtex
|
| 150 |
+
@misc{ye2025mobileagentv3foundamentalagentsgui,
|
| 151 |
+
title={Mobile-Agent-v3: Foundamental Agents for GUI Automation},
|
| 152 |
+
author={Jiabo Ye and Xi Zhang and Haiyang Xu and Haowei Liu and Junyang Wang and Zhaoqing Zhu and Ziwei Zheng and Feiyu Gao and Junjie Cao and Zhengxi Lu and Jitong Liao and Qi Zheng and Fei Huang and Jingren Zhou and Ming Yan},
|
| 153 |
+
year={2025},
|
| 154 |
+
eprint={2508.15144},
|
| 155 |
+
archivePrefix={arXiv},
|
| 156 |
+
primaryClass={cs.AI},
|
| 157 |
+
url={https://arxiv.org/abs/2508.15144},
|
| 158 |
+
}
|
| 159 |
+
```
|
| 160 |
+
|
| 161 |
+
## License
|
| 162 |
+
|
| 163 |
+
This repo follows the upstream model license: MIT.
|
| 164 |
+
See the upstream model card for the authoritative license details:
|
| 165 |
+
[mPLUG/GUI-Owl-7B](https://huggingface.co/mPLUG/GUI-Owl-7B).
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chat_template.jinja
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{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system
|
| 2 |
+
You are a helpful assistant.<|im_end|>
|
| 3 |
+
{% endif %}<|im_start|>{{ message['role'] }}
|
| 4 |
+
{% if message['content'] is string %}{{ message['content'] }}<|im_end|>
|
| 5 |
+
{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>
|
| 6 |
+
{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant
|
| 7 |
+
{% endif %}
|
chat_template.json
ADDED
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| 1 |
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{
|
| 2 |
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"chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}"
|
| 3 |
+
}
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config.json
ADDED
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| 1 |
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{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen2_5_VLForConditionalGeneration"
|
| 4 |
+
],
|
| 5 |
+
"attention_dropout": 0.0,
|
| 6 |
+
"bos_token_id": 151643,
|
| 7 |
+
"eos_token_id": [
|
| 8 |
+
151645,
|
| 9 |
+
151643
|
| 10 |
+
],
|
| 11 |
+
"hidden_act": "silu",
|
| 12 |
+
"hidden_size": 3584,
|
| 13 |
+
"image_token_id": 151655,
|
| 14 |
+
"initializer_range": 0.02,
|
| 15 |
+
"intermediate_size": 18944,
|
| 16 |
+
"max_position_embeddings": 32768,
|
| 17 |
+
"max_window_layers": 28,
|
| 18 |
+
"model_type": "qwen2_5_vl",
|
| 19 |
+
"num_attention_heads": 28,
|
| 20 |
+
"num_hidden_layers": 28,
|
| 21 |
+
"num_key_value_heads": 4,
|
| 22 |
+
"rms_norm_eps": 1e-06,
|
| 23 |
+
"rope_scaling": {
|
| 24 |
+
"type": "mrope",
|
| 25 |
+
"mrope_section": [
|
| 26 |
+
16,
|
| 27 |
+
24,
|
| 28 |
+
24
|
| 29 |
+
]
|
| 30 |
+
},
|
| 31 |
+
"rope_theta": 1000000.0,
|
| 32 |
+
"sliding_window": 32768,
|
| 33 |
+
"tie_word_embeddings": false,
|
| 34 |
+
"transformers_version": "4.41.2",
|
| 35 |
+
"use_cache": true,
|
| 36 |
+
"use_sliding_window": false,
|
| 37 |
+
"video_token_id": 151656,
|
| 38 |
+
"vision_config": {
|
| 39 |
+
"depth": 32,
|
| 40 |
+
"hidden_act": "silu",
|
| 41 |
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"hidden_size": 1280,
|
| 42 |
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"intermediate_size": 3456,
|
| 43 |
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"num_heads": 16,
|
| 44 |
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|
| 45 |
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"out_hidden_size": 3584,
|
| 46 |
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"patch_size": 14,
|
| 47 |
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|
| 48 |
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"spatial_patch_size": 14,
|
| 49 |
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"window_size": 112,
|
| 50 |
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"fullatt_block_indexes": [
|
| 51 |
+
7,
|
| 52 |
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|
| 53 |
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|
| 54 |
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31
|
| 55 |
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],
|
| 56 |
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"tokens_per_second": 2,
|
| 57 |
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|
| 58 |
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},
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|
| 60 |
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|
| 61 |
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"vision_token_id": 151654,
|
| 62 |
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"vocab_size": 152064
|
| 63 |
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}
|
generation_config.json
ADDED
|
@@ -0,0 +1,14 @@
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{
|
| 2 |
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"bos_token_id": 151643,
|
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"pad_token_id": 151643,
|
| 4 |
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"do_sample": true,
|
| 5 |
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"eos_token_id": [
|
| 6 |
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151645,
|
| 7 |
+
151643
|
| 8 |
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],
|
| 9 |
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"repetition_penalty": 1.05,
|
| 10 |
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"temperature": 0.1,
|
| 11 |
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"top_p": 0.001,
|
| 12 |
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"top_k": 1,
|
| 13 |
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"transformers_version": "4.37.0"
|
| 14 |
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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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| 3 |
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size 5307424955
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model-00002-of-00004.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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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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size 4932774729
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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 1089994894
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model.safetensors.index.json
ADDED
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@@ -0,0 +1,736 @@
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"vision_tower.blocks.6.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 684 |
+
"vision_tower.blocks.6.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 685 |
+
"vision_tower.blocks.6.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 686 |
+
"vision_tower.blocks.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 687 |
+
"vision_tower.blocks.6.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 688 |
+
"vision_tower.blocks.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 689 |
+
"vision_tower.blocks.6.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 690 |
+
"vision_tower.blocks.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 691 |
+
"vision_tower.blocks.6.norm1.weight": "model-00001-of-00004.safetensors",
|
| 692 |
+
"vision_tower.blocks.6.norm2.weight": "model-00001-of-00004.safetensors",
|
| 693 |
+
"vision_tower.blocks.7.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 694 |
+
"vision_tower.blocks.7.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 695 |
+
"vision_tower.blocks.7.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 696 |
+
"vision_tower.blocks.7.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 697 |
+
"vision_tower.blocks.7.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 698 |
+
"vision_tower.blocks.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 699 |
+
"vision_tower.blocks.7.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 700 |
+
"vision_tower.blocks.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 701 |
+
"vision_tower.blocks.7.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 702 |
+
"vision_tower.blocks.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 703 |
+
"vision_tower.blocks.7.norm1.weight": "model-00001-of-00004.safetensors",
|
| 704 |
+
"vision_tower.blocks.7.norm2.weight": "model-00001-of-00004.safetensors",
|
| 705 |
+
"vision_tower.blocks.8.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 706 |
+
"vision_tower.blocks.8.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 707 |
+
"vision_tower.blocks.8.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 708 |
+
"vision_tower.blocks.8.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 709 |
+
"vision_tower.blocks.8.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 710 |
+
"vision_tower.blocks.8.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 711 |
+
"vision_tower.blocks.8.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 712 |
+
"vision_tower.blocks.8.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 713 |
+
"vision_tower.blocks.8.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 714 |
+
"vision_tower.blocks.8.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 715 |
+
"vision_tower.blocks.8.norm1.weight": "model-00001-of-00004.safetensors",
|
| 716 |
+
"vision_tower.blocks.8.norm2.weight": "model-00001-of-00004.safetensors",
|
| 717 |
+
"vision_tower.blocks.9.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 718 |
+
"vision_tower.blocks.9.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 719 |
+
"vision_tower.blocks.9.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 720 |
+
"vision_tower.blocks.9.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 721 |
+
"vision_tower.blocks.9.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 722 |
+
"vision_tower.blocks.9.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 723 |
+
"vision_tower.blocks.9.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 724 |
+
"vision_tower.blocks.9.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 725 |
+
"vision_tower.blocks.9.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 726 |
+
"vision_tower.blocks.9.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 727 |
+
"vision_tower.blocks.9.norm1.weight": "model-00001-of-00004.safetensors",
|
| 728 |
+
"vision_tower.blocks.9.norm2.weight": "model-00001-of-00004.safetensors",
|
| 729 |
+
"vision_tower.merger.ln_q.weight": "model-00001-of-00004.safetensors",
|
| 730 |
+
"vision_tower.merger.mlp.0.bias": "model-00001-of-00004.safetensors",
|
| 731 |
+
"vision_tower.merger.mlp.0.weight": "model-00001-of-00004.safetensors",
|
| 732 |
+
"vision_tower.merger.mlp.2.bias": "model-00001-of-00004.safetensors",
|
| 733 |
+
"vision_tower.merger.mlp.2.weight": "model-00001-of-00004.safetensors",
|
| 734 |
+
"vision_tower.patch_embed.proj.weight": "model-00001-of-00004.safetensors"
|
| 735 |
+
}
|
| 736 |
+
}
|
preprocessor_config.json
ADDED
|
@@ -0,0 +1,19 @@
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|
| 1 |
+
{
|
| 2 |
+
"min_pixels": 3136,
|
| 3 |
+
"max_pixels": 12845056,
|
| 4 |
+
"patch_size": 14,
|
| 5 |
+
"temporal_patch_size": 2,
|
| 6 |
+
"merge_size": 2,
|
| 7 |
+
"image_mean": [
|
| 8 |
+
0.48145466,
|
| 9 |
+
0.4578275,
|
| 10 |
+
0.40821073
|
| 11 |
+
],
|
| 12 |
+
"image_std": [
|
| 13 |
+
0.26862954,
|
| 14 |
+
0.26130258,
|
| 15 |
+
0.27577711
|
| 16 |
+
],
|
| 17 |
+
"image_processor_type": "Qwen2VLImageProcessor",
|
| 18 |
+
"processor_class": "Qwen2_5_VLProcessor"
|
| 19 |
+
}
|
processor_config.json
ADDED
|
@@ -0,0 +1,63 @@
|
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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 |
+
0.48145466,
|
| 10 |
+
0.4578275,
|
| 11 |
+
0.40821073
|
| 12 |
+
],
|
| 13 |
+
"image_processor_type": "Qwen2VLImageProcessorFast",
|
| 14 |
+
"image_std": [
|
| 15 |
+
0.26862954,
|
| 16 |
+
0.26130258,
|
| 17 |
+
0.27577711
|
| 18 |
+
],
|
| 19 |
+
"merge_size": 2,
|
| 20 |
+
"patch_size": 14,
|
| 21 |
+
"resample": 3,
|
| 22 |
+
"rescale_factor": 0.00392156862745098,
|
| 23 |
+
"size": {
|
| 24 |
+
"longest_edge": 12845056,
|
| 25 |
+
"shortest_edge": 3136
|
| 26 |
+
},
|
| 27 |
+
"temporal_patch_size": 2
|
| 28 |
+
},
|
| 29 |
+
"processor_class": "Qwen2_5_VLProcessor",
|
| 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": false,
|
| 38 |
+
"image_mean": [
|
| 39 |
+
0.48145466,
|
| 40 |
+
0.4578275,
|
| 41 |
+
0.40821073
|
| 42 |
+
],
|
| 43 |
+
"image_processor_type": "Qwen2VLImageProcessor",
|
| 44 |
+
"image_std": [
|
| 45 |
+
0.26862954,
|
| 46 |
+
0.26130258,
|
| 47 |
+
0.27577711
|
| 48 |
+
],
|
| 49 |
+
"max_frames": 768,
|
| 50 |
+
"merge_size": 2,
|
| 51 |
+
"min_frames": 4,
|
| 52 |
+
"patch_size": 14,
|
| 53 |
+
"resample": 3,
|
| 54 |
+
"rescale_factor": 0.00392156862745098,
|
| 55 |
+
"return_metadata": false,
|
| 56 |
+
"size": {
|
| 57 |
+
"longest_edge": 12845056,
|
| 58 |
+
"shortest_edge": 3136
|
| 59 |
+
},
|
| 60 |
+
"temporal_patch_size": 2,
|
| 61 |
+
"video_processor_type": "Qwen2VLVideoProcessor"
|
| 62 |
+
}
|
| 63 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
|
| 3 |
+
size 11422650
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"backend": "tokenizers",
|
| 4 |
+
"bos_token": null,
|
| 5 |
+
"clean_up_tokenization_spaces": false,
|
| 6 |
+
"eos_token": "<|im_end|>",
|
| 7 |
+
"errors": "replace",
|
| 8 |
+
"extra_special_tokens": [
|
| 9 |
+
"<|im_start|>",
|
| 10 |
+
"<|im_end|>",
|
| 11 |
+
"<|object_ref_start|>",
|
| 12 |
+
"<|object_ref_end|>",
|
| 13 |
+
"<|box_start|>",
|
| 14 |
+
"<|box_end|>",
|
| 15 |
+
"<|quad_start|>",
|
| 16 |
+
"<|quad_end|>",
|
| 17 |
+
"<|vision_start|>",
|
| 18 |
+
"<|vision_end|>",
|
| 19 |
+
"<|vision_pad|>",
|
| 20 |
+
"<|image_pad|>",
|
| 21 |
+
"<|video_pad|>"
|
| 22 |
+
],
|
| 23 |
+
"is_local": true,
|
| 24 |
+
"model_max_length": 131072,
|
| 25 |
+
"pad_token": "<|endoftext|>",
|
| 26 |
+
"processor_class": "Qwen2_5_VLProcessor",
|
| 27 |
+
"split_special_tokens": false,
|
| 28 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 29 |
+
"unk_token": null,
|
| 30 |
+
"chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}"
|
| 31 |
+
}
|
vocab.json
ADDED
|
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|
|