初始化项目，由ModelHub XC社区提供模型

Model: AIDC-AI/Ovis2.5-2B
Source: Original Platform

.gitattributes

@@ -0,0 +1,51 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bin.* filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zstandard filter=lfs diff=lfs merge=lfs -text
+*.tfevents* filter=lfs diff=lfs merge=lfs -text
+*.db* filter=lfs diff=lfs merge=lfs -text
+*.ark* filter=lfs diff=lfs merge=lfs -text
+**/*ckpt*data* filter=lfs diff=lfs merge=lfs -text
+**/*ckpt*.meta filter=lfs diff=lfs merge=lfs -text
+**/*ckpt*.index filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.gguf* filter=lfs diff=lfs merge=lfs -text
+*.ggml filter=lfs diff=lfs merge=lfs -text
+*.llamafile* filter=lfs diff=lfs merge=lfs -text
+*.pt2 filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+
+merges.txt filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text
+vocab.json filter=lfs diff=lfs merge=lfs -text

LICENSE

@@ -0,0 +1,10 @@
+Copyright (C) 2025 AIDC-AI
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+    http://www.apache.org/licenses/LICENSE-2.0
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.

NOTICE

@@ -0,0 +1,5 @@
+Copyright (C) 2025 AIDC-AI
+Licensed under the Apache 2.0 (the "License").
+The model was trained based on the following models:
+1. Qwen3-1.7B (https://huggingface.co/Qwen/Qwen3-1.7B), license: Apache License 2.0 (https://huggingface.co/Qwen/Qwen3-1.7B/blob/main/LICENSE). 
+2. Siglip2 (https://huggingface.co/google/siglip2-so400m-patch16-512), license: Apache License 2.0 (https://choosealicense.com/licenses/apache-2.0/). 

README.md

@@ -0,0 +1,337 @@
+---
+license: apache-2.0
+datasets:
+- AIDC-AI/Ovis-dataset
+library_name: transformers
+tags:
+- MLLM
+pipeline_tag: image-text-to-text
+language:
+- en
+- zh
+---
+# Ovis2.5-2B
+<div align="center">
+  <img src=https://cdn-uploads.huggingface.co/production/uploads/637aebed7ce76c3b834cea37/3IK823BZ8w-mz_QfeYkDn.png width="30%"/>
+</div>
+
+<p align="center">
+  <a href="https://arxiv.org/abs/2508.11737"><img src="https://img.shields.io/badge/📖_Technical_Report-Ovis2.5-b31b1b.svg" alt="technical report"></a>
+  <a href="https://github.com/AIDC-AI/Ovis"><img src="https://img.shields.io/badge/GitHub-AIDC--AI/Ovis-blue?style=flat&logo=github" alt="code"></a>
+  <a href="https://huggingface.co/spaces/AIDC-AI/Ovis2.5-2B"><img src="https://img.shields.io/badge/🎨_HF_Spaces-AIDC--AI/Ovis2.5--2B-lightblack" alt="demo"></a>
+  <a href="https://huggingface.co/collections/AIDC-AI/ovis25-689ec1474633b2aab8809335"><img src="https://img.shields.io/badge/🤗_Models-AIDC--AI/Ovis2.5-yellow" alt="models"></a>
+</p>
+
+
+## Introduction
+
+We are pleased to announce the release of **Ovis2.5**, the successor to Ovis2, designed for native-resolution visual perception and enhanced multimodal reasoning. 
+It integrates a native-resolution vision transformer (NaViT) that processes images at their original, variable resolutions, eliminating the need for fixed-resolution tiling and preserving both fine details and global layout—crucial for visually dense content such as charts and diagrams. 
+To strengthen reasoning, Ovis2.5 is trained not only on linear chain-of-thought (CoT) but also on reflective reasoning, including self-checking and revision. 
+This advanced capability is available at inference as an optional *thinking mode*, enabling users to trade latency for higher accuracy on complex inputs.
+
+Building on these advances, **Ovis2.5-9B** achieves an average score of 78.3 on the OpenCompass multimodal evaluation suite (SOTA among open-source MLLMs under 40B parameters), while the lightweight **Ovis2.5-2B** scores 73.9, continuing the “small model, big performance” philosophy for resource-constrained scenarios.
+
+
+<div align="center">
+    <img src="https://cdn-uploads.huggingface.co/production/uploads/637aebed7ce76c3b834cea37/kh-1dhZRAduP-P4SkIhXr.png" width="100%" />
+</div>
+
+**Key Features**  
+* **Native-Resolution Perception** — NaViT vision encoder preserves fine details and global structure without lossy tiling.  
+* **Deep-Reasoning Capability** — Optional *thinking mode* for self-checking and revision beyond linear CoT. *Thinking budget* supported.
+* **Chart & Document OCR** — State-of-the-art at its scale for complex chart analysis, document understanding (including tables and forms), and OCR.  
+* **Broad Task Coverage** — Demonstrates leading performance on image reasoning, video understanding, and grounding benchmarks, showcasing strong general multimodal capability.
+
+<div align="center">
+    <img src="https://cdn-uploads.huggingface.co/production/uploads/637aebed7ce76c3b834cea37/4kw2RRUhXDiMZdU7wGOfP.png" width="100%" />
+</div>
+
+## Quick Inference
+
+Below is a simple example demonstrating how to run Ovis2.5 with a single image input. For accelerated inference with **vLLM**, refer to [GitHub](https://github.com/AIDC-AI/Ovis).
+
+First, install the required dependencies:
+
+```bash
+pip install torch==2.4.0 transformers==4.51.3 numpy==1.25.0 pillow==10.3.0 moviepy==1.0.3
+pip install flash-attn==2.7.0.post2 --no-build-isolation
+```
+
+Then, run the following code.
+
+```python
+import torch
+import requests
+from PIL import Image
+from transformers import AutoModelForCausalLM
+
+MODEL_PATH = "AIDC-AI/Ovis2.5-2B"
+
+# Thinking mode & budget
+enable_thinking = True
+enable_thinking_budget = True  # Only effective if enable_thinking is True.
+
+# Total tokens for thinking + answer. Ensure: max_new_tokens > thinking_budget + 25
+max_new_tokens = 3072
+thinking_budget = 2048
+
+model = AutoModelForCausalLM.from_pretrained(
+    MODEL_PATH,
+    torch_dtype=torch.bfloat16,
+    trust_remote_code=True
+).cuda()
+
+messages = [{
+    "role": "user",
+    "content": [
+        {"type": "image", "image": Image.open(requests.get("https://cdn-uploads.huggingface.co/production/uploads/658a8a837959448ef5500ce5/TIlymOb86R6_Mez3bpmcB.png", stream=True).raw)},
+        {"type": "text", "text": "Calculate the sum of the numbers in the middle box in figure (c)."},
+    ],
+}]
+
+input_ids, pixel_values, grid_thws = model.preprocess_inputs(
+    messages=messages,
+    add_generation_prompt=True,
+    enable_thinking=enable_thinking
+)
+input_ids = input_ids.cuda()
+pixel_values = pixel_values.cuda() if pixel_values is not None else None
+grid_thws = grid_thws.cuda() if grid_thws is not None else None
+
+outputs = model.generate(
+    inputs=input_ids,
+    pixel_values=pixel_values,
+    grid_thws=grid_thws,
+    enable_thinking=enable_thinking,
+    enable_thinking_budget=enable_thinking_budget,
+    max_new_tokens=max_new_tokens,
+    thinking_budget=thinking_budget,
+)
+
+response = model.text_tokenizer.decode(outputs[0], skip_special_tokens=True)
+print(response)
+```
+
+The thinking and thinking budget logic can be applied in the same way for multi-image, video and pure text scenarios.
+
+**Note (answer extraction for CoT/Thinking):**
+To make evaluation and usage easier, we recommend appending a fixed suffix to prompts when using chain-of-thought (CoT) or thinking mode. This ensures the model clearly outputs a final answer that can be extracted programmatically:
+
+```
+End your response with 'Final answer: '.
+```
+
+For example:
+
+```
+Calculate the sum of the numbers in the middle box in figure (c).
+End your response with 'Final answer: '.
+```
+
+
+**Tip:** The sections below include an optional streaming helper (compatible with two-phase thinking/budget runs) and extra inference modes: multi-image, video, and text-only.
+
+<details>
+<summary>Optional: Streaming (Advanced)</summary>
+
+To support thinking budget, we modified the implementation of the Ovis `generate` method and the default `TextIteratorStreamer` is now incompatible. If you need to stream model output, be sure to use the helper class below.
+
+```python
+# --- Budget-aware streamer helper ---
+from transformers import TextIteratorStreamer
+
+class BudgetAwareTextStreamer(TextIteratorStreamer):
+    """A streamer compatible with Ovis two-phase generation.
+
+    Call .manual_end() after generation to flush any remaining text.
+    """
+    def manual_end(self):
+        if len(self.token_cache) > 0:
+            text = self.tokenizer.decode(self.token_cache, **self.decode_kwargs)
+            printable_text = text[self.print_len:]
+            self.token_cache = []
+            self.print_len = 0
+        else:
+            printable_text = ""
+        self.next_tokens_are_prompt = True
+        self.on_finalized_text(printable_text, stream_end=True)
+
+    # Disable base class's end hook; we'll finalize via manual_end()
+    def end(self):
+        pass
+```
+
+Example usage:
+
+```python
+streamer = BudgetAwareTextStreamer(
+    model.text_tokenizer,
+    skip_prompt=True,
+    skip_special_tokens=True
+)
+
+outputs = model.generate(
+    inputs=input_ids,
+    pixel_values=pixel_values,
+    grid_thws=grid_thws,
+    enable_thinking=enable_thinking,
+    enable_thinking_budget=enable_thinking_budget,
+    max_new_tokens=max_new_tokens,
+    thinking_budget=thinking_budget,
+    streamer=streamer
+)
+
+```
+
+</details>
+
+<details>
+<summary>Example: Multi-image</summary>
+Demonstrates how to run inference with multiple images and a related question.
+
+```python
+# Multi-image inference
+multi_image_files = [
+    "/path/to/image_1.jpg",
+    "/path/to/image_2.jpg",
+    "/path/to/image_3.jpg",
+]
+
+content = [{"type": "image", "image": Image.open(p).convert("RGB")} for p in multi_image_files]
+content.append({"type": "text", "text": "Describe the images."})
+messages = [{"role": "user", "content": content}]
+
+input_ids, pixel_values, grid_thws = model.preprocess_inputs(messages=messages, add_generation_prompt=True, max_pixels=896*896)
+input_ids = input_ids.cuda()
+pixel_values = pixel_values.cuda().to(model.dtype) if pixel_values is not None else None
+grid_thws = grid_thws.cuda() if grid_thws is not None else None
+
+with torch.no_grad():
+    outputs = model.generate(inputs=input_ids, pixel_values=pixel_values, grid_thws=grid_thws,
+                             max_new_tokens=1024, do_sample=True,
+                             eos_token_id=model.text_tokenizer.eos_token_id,
+                             pad_token_id=model.text_tokenizer.pad_token_id)
+print(model.text_tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
+</details>
+
+<details>
+<summary>Example: Video</summary>
+Demonstrates how to run inference on a video by sampling multiple frames and asking the model to describe the content.
+
+```python
+# Video inference
+from moviepy.editor import VideoFileClip  # pip install moviepy==1.0.3
+
+video_file = "/path/to/video_1.mp4"
+num_frames = 8
+
+with VideoFileClip(video_file) as clip:
+    total_frames = int(clip.fps * clip.duration)
+    indices = [int(i * total_frames / num_frames) for i in range(num_frames)]
+    frames = [Image.fromarray(clip.get_frame(t)) for t in (idx / clip.fps for idx in indices)]
+
+messages = [{"role": "user", "content": [
+    {"type": "video", "video": frames},
+    {"type": "text", "text": "Describe this video in detail."},
+]}]
+
+input_ids, pixel_values, grid_thws = model.preprocess_inputs(messages=messages, add_generation_prompt=True, max_pixels=896*896)
+input_ids = input_ids.cuda()
+pixel_values = pixel_values.cuda().to(model.dtype) if pixel_values is not None else None
+grid_thws = grid_thws.cuda() if grid_thws is not None else None
+
+with torch.no_grad():
+    outputs = model.generate(inputs=input_ids, pixel_values=pixel_values, grid_thws=grid_thws,
+                             max_new_tokens=1024, do_sample=True,
+                             eos_token_id=model.text_tokenizer.eos_token_id,
+                             pad_token_id=model.text_tokenizer.pad_token_id)
+print(model.text_tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
+</details>
+
+<details>
+<summary>Example: Text-only</summary>
+Demonstrates how to run inference using only text input without any images or videos.
+
+```python
+# Text-only inference
+messages = [{"role": "user", "content": "Hi, please introduce Yellow Mountain."}]
+
+input_ids, _, _ = model.preprocess_inputs(messages=messages, add_generation_prompt=True)
+input_ids = input_ids.cuda()
+
+with torch.no_grad():
+    outputs = model.generate(inputs=input_ids, max_new_tokens=1024, do_sample=True,
+                             eos_token_id=model.text_tokenizer.eos_token_id,
+                             pad_token_id=model.text_tokenizer.pad_token_id)
+print(model.text_tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
+</details>
+
+To enable grounding, end your prompt with `Please provide the bounding box coordinates.` (for boxes) or `Please provide the point coordinates.` (for points). To target a specific object, wrap its description in `<ref>` tags, e.g.:
+
+```text
+Find the <ref>red apple</ref> in the image. Please provide the bounding box coordinates.
+```
+
+Coordinates are normalized to `[0,1)` with the origin `(0,0)` at the top-left corner of the image.
+
+* Point: `<point>(x,y)</point>`
+* Bounding box: `<box>(x1,y1),(x2,y2)</box>` where `(x1,y1)` is top-left, `(x2,y2)` is bottom-right.
+* Multiple results can be listed in square brackets: `[<box>(...)</box>,<box>(...)</box> ]`
+
+Example:
+
+```text
+The image features a serene scene with <ref>three birds</ref>[
+  <box>(0.401,0.526),(0.430,0.557)</box>,
+  <box>(0.489,0.494),(0.516,0.526)</box>,
+  <box>(0.296,0.529),(0.324,0.576)</box>
+] flying in formation against a clear blue sky.
+```
+
+
+
+## Model Zoo
+
+| Ovis MLLMs |           ViT           |          LLM          |                      Model Weights                      |                           Demo                           |
+|:-----------|:-----------------------:|:---------------------:|:-------------------------------------------------------:|:--------------------------------------------------------:|
+| Ovis2.5-2B   | siglip2-so400m-patch16-512 | Qwen3-1.7B | [Huggingface](https://huggingface.co/AIDC-AI/Ovis2.5-2B)  | [Space](https://huggingface.co/spaces/AIDC-AI/Ovis2.5-2B) |
+| Ovis2.5-9B   | siglip2-so400m-patch16-512  |  Qwen3-8B  | [Huggingface](https://huggingface.co/AIDC-AI/Ovis2.5-9B)  | [Space](https://huggingface.co/spaces/AIDC-AI/Ovis2.5-9B) |
+
+## Performance
+We evaluate Ovis2.5 using [VLMEvalKit](https://github.com/open-compass/VLMEvalKit), as employed in the OpenCompass multimodal and reasoning evaluation suite.
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/637aebed7ce76c3b834cea37/zYtwH4Yw6q6591en_FVX-.png)
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/637aebed7ce76c3b834cea37/zWbsInYCHZYEPlY75xrRd.png)
+
+
+## Citation
+If you find Ovis useful, please consider citing the paper
+```bibtex
+@article{lu2025ovis25technicalreport,
+  title={Ovis2.5 Technical Report}, 
+  author={Shiyin Lu and Yang Li and Yu Xia and Yuwei Hu and Shanshan Zhao and Yanqing Ma and Zhichao Wei and Yinglun Li and Lunhao Duan and Jianshan Zhao and Yuxuan Han and Haijun Li and Wanying Chen and Junke Tang and Chengkun Hou and Zhixing Du and Tianli Zhou and Wenjie Zhang and Huping Ding and Jiahe Li and Wen Li and Gui Hu and Yiliang Gu and Siran Yang and Jiamang Wang and Hailong Sun and Yibo Wang and Hui Sun and Jinlong Huang and Yuping He and Shengze Shi and Weihong Zhang and Guodong Zheng and Junpeng Jiang and Sensen Gao and Yi-Feng Wu and Sijia Chen and Yuhui Chen and Qing-Guo Chen and Zhao Xu and Weihua Luo and Kaifu Zhang},
+  year={2025},
+  journal={arXiv:2508.11737}
+}
+
+@article{lu2024ovis,
+  title={Ovis: Structural Embedding Alignment for Multimodal Large Language Model},
+  author={Shiyin Lu and Yang Li and Qing-Guo Chen and Zhao Xu and Weihua Luo and Kaifu Zhang and Han-Jia Ye},
+  year={2024},
+  journal={arXiv:2405.20797}
+}
+```
+
+## License
+This project is licensed under the [Apache License, Version 2.0](https://www.apache.org/licenses/LICENSE-2.0.txt) (SPDX-License-Identifier: Apache-2.0).
+
+## Disclaimer
+We used compliance-checking algorithms during the training process, to ensure the compliance of the trained model to the best of our ability. Due to the complexity of the data and the diversity of language model usage scenarios, we cannot guarantee that the model is completely free of copyright issues or improper content. If you believe anything infringes on your rights or generates improper content, please contact us, and we will promptly address the matter.

added_tokens.json

@@ -0,0 +1,28 @@
+{
+  "</think>": 151668,
+  "</tool_call>": 151658,
+  "</tool_response>": 151666,
+  "<think>": 151667,
+  "<tool_call>": 151657,
+  "<tool_response>": 151665,
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
+  "<|endoftext|>": 151643,
+  "<|file_sep|>": 151664,
+  "<|fim_middle|>": 151660,
+  "<|fim_pad|>": 151662,
+  "<|fim_prefix|>": 151659,
+  "<|fim_suffix|>": 151661,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644,
+  "<|image_pad|>": 151655,
+  "<|object_ref_end|>": 151647,
+  "<|object_ref_start|>": 151646,
+  "<|quad_end|>": 151651,
+  "<|quad_start|>": 151650,
+  "<|repo_name|>": 151663,
+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

chat_template.json

@@ -0,0 +1,3 @@
+{
+  "chat_template": "{%- for message in messages %}{{- '<|im_start|>' + message.role + '\n'}}{%- if message.role == 'system' or message.role == 'user' %}{%- if message.content is string %}{{- message.content | replace('<image>', '') | replace('<video>', '') }}{%- else %}{%- for item in message.content %}{%- if item.type == 'text' and 'text' in item %}{{- item.text | replace('<image>', '') | replace('<video>', '') }}{%- elif item.type == 'image' %}{{- '<image>'}}{%- elif item.type == 'video' %}{{- '<video>'}}{%- else %}{{- raise_exception('Invalid content type. Supported types for system and user are text, image, video.')}}{%- endif %}{%- if not loop.last %}{{- '\n'}}{%- endif %}{%- endfor %}{%- endif %}{%- elif message.role == 'assistant' %}{%- set content = '' %}{%- if message.content is string %}{%- set content = message.content | replace('<image>', '') | replace('<video>', '') %}{%- else %}{%- set ns = namespace(content='') -%}{%- for item in message.content %}{%- if item.type == 'text' and 'text' in item %}{%- set ns.content = ns.content ~ (item.text | replace('<image>', '') | replace('<video>', '')) %}{%- else %}{{- raise_exception('Invalid content type. Supported type for assistant is text.')}}{%- endif %}{%- endfor %}{%- set content = ns.content -%}{%- endif %}{%- set content = content.split('</think>')[-1].lstrip('\n') %}{{- content }}{%- else %}{{- raise_exception('Invalid role. Supported roles are system, user, assistant.')}}{%- endif %}{{- '<|im_end|>\n'}}{%- endfor %}{%- if add_generation_prompt %}{{- '<|im_start|>assistant\n' }}{%- if enable_thinking is defined and enable_thinking is false %}{{- '<think>\n\n</think>\n\n' }}{%- endif %}{%- endif %}"
+}

config.json

@@ -0,0 +1,73 @@
+{
+  "architectures": [
+    "Ovis2_5"
+  ],
+  "auto_map": {
+    "AutoConfig": "configuration_ovis2_5.Ovis2_5_Config",
+    "AutoModelForCausalLM": "modeling_ovis2_5.Ovis2_5"
+  },
+  "conversation_formatter_class": "Qwen3ConversationFormatter",
+  "hidden_size": 2048,
+  "vocab_size": 151936,
+  "num_attention_heads": 32,
+  "max_position_embeddings": 40960,
+  "llm_config": {
+    "_attn_implementation_autoset": true,
+    "_name_or_path": "Qwen/Qwen3-1.7B",
+    "architectures": [
+      "Qwen3ForCausalLM"
+    ],
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "bos_token_id": 151643,
+    "eos_token_id": 151645,
+    "head_dim": 128,
+    "hidden_act": "silu",
+    "hidden_size": 2048,
+    "initializer_range": 0.02,
+    "intermediate_size": 6144,
+    "max_position_embeddings": 40960,
+    "max_window_layers": 28,
+    "model_type": "qwen3",
+    "num_attention_heads": 16,
+    "num_hidden_layers": 28,
+    "num_key_value_heads": 8,
+    "rms_norm_eps": 1e-06,
+    "rope_scaling": null,
+    "rope_theta": 1000000,
+    "sliding_window": null,
+    "tie_word_embeddings": true,
+    "torch_dtype": "float32",
+    "use_cache": true,
+    "use_sliding_window": false,
+    "vocab_size": 151936
+  },
+  "model_type": "ovis2_5",
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.51.3",
+  "use_cache": true,
+  "visual_vocab_size": 65536,
+  "vit_config": {
+    "_attn_implementation_autoset": true,
+    "_name_or_path": "google/siglip2-so400m-patch16-512",
+    "attention_dropout": 0.0,
+    "fullatt_block_indexes": null,
+    "hidden_act": "gelu_pytorch_tanh",
+    "hidden_size": 1152,
+    "hidden_stride": 2,
+    "image_size": 512,
+    "intermediate_size": 4304,
+    "layer_norm_eps": 1e-06,
+    "model_type": "siglip2_navit",
+    "num_attention_heads": 16,
+    "num_channels": 3,
+    "num_hidden_layers": 27,
+    "num_patches": -1,
+    "patch_size": 16,
+    "preserve_original_pe": true,
+    "temporal_patch_size": 1,
+    "torch_dtype": "float32",
+    "use_rope": true,
+    "window_size": 112
+  }
+}

configuration.json

@@ -0,0 +1 @@
+{"framework": "pytorch", "task": "image-text-to-text", "allow_remote": true}

configuration_ovis2_5.py

@@ -0,0 +1,96 @@
+from typing import Any, Optional, List, Union
+
+from transformers import Qwen3Config
+from transformers.configuration_utils import PretrainedConfig
+
+__all__ = ["Siglip2NavitConfig", "Ovis2_5_Config"]
+
+
+class Siglip2NavitConfig(PretrainedConfig):
+    """This is the configuration class to store the configuration of an [`AIMv2Model`].
+
+    Instantiating a configuration with the defaults will yield a similar configuration
+    to that of the [apple/aimv2-large-patch14-224](https://huggingface.co/apple/aimv2-large-patch14-224).
+
+    Args:
+        hidden_size: Dimension of the hidden representations.
+        intermediate_size: Dimension of the SwiGLU representations.
+        num_hidden_layers: Number of hidden layers in the Transformer.
+        num_attention_heads: Number of attention heads for each attention layer
+            in the Transformer.
+        num_channels: Number of input channels.
+        image_size: Image size.
+        patch_size: Patch size.
+        rms_norm_eps: Epsilon value used for the RMS normalization layer.
+        attention_dropout: Dropout ratio for attention probabilities.
+        projection_dropout: Dropout ratio for the projection layer after the attention.
+        qkv_bias: Whether to add a bias to the queries, keys and values.
+        use_bias: Whether to add a bias in the feed-forward and projection layers.
+        kwargs: Keyword arguments for the [`PretrainedConfig`].
+    """
+
+    model_type: str = "siglip2_navit"
+
+    def __init__(
+        self,
+        hidden_size: int = 1024,
+        intermediate_size: int = 4096,
+        num_hidden_layers: int = 24,
+        num_attention_heads: int = 16,
+        num_channels: int = 3,
+        num_patches: int = -1,
+        image_size: int = 512,
+        patch_size: int = 16,
+        hidden_act: str="gelu_pytorch_tanh",
+        layer_norm_eps: float = 1e-6,
+        attention_dropout: float = 0.0,
+        hidden_stride: int = 2,
+        window_size: int = 112,
+        fullatt_block_indexes: Optional[list] = None,
+        temporal_patch_size: int = 1,
+        preserve_original_pe: bool = True,
+        use_rope: bool = True,
+        **kwargs: Any,
+    ):
+        super().__init__(**kwargs)
+        self.hidden_size = hidden_size
+        self.intermediate_size = intermediate_size
+        self.num_hidden_layers = num_hidden_layers
+        self.num_attention_heads = num_attention_heads
+        self.num_channels = num_channels
+        self.num_patches = num_patches
+        self.patch_size = patch_size
+        self.image_size = image_size
+        self.hidden_act = hidden_act
+        self.attention_dropout = attention_dropout
+        self.layer_norm_eps = layer_norm_eps
+        self.hidden_stride = hidden_stride
+        self.window_size = window_size
+        self.fullatt_block_indexes = fullatt_block_indexes
+        self.temporal_patch_size = temporal_patch_size
+        self.preserve_original_pe = preserve_original_pe
+        self.use_rope = use_rope
+
+class Ovis2_5_Config(PretrainedConfig):
+    model_type = "ovis2_5"
+    sub_configs = dict(llm_config=Qwen3Config, vit_config=Siglip2NavitConfig)
+
+    def __init__(self,
+        llm_config: Optional[Union[Qwen3Config, dict]] = None,
+        vit_config: Optional[Union[Siglip2NavitConfig, dict]] = None,
+        visual_vocab_size=65536,
+        hidden_size=None,
+        **kwargs
+    ):
+        super().__init__(**kwargs)
+        if isinstance(llm_config, dict):
+            llm_config = Qwen3Config(**llm_config)
+        self.llm_config = llm_config
+        if isinstance(vit_config, dict):
+            vit_config = Siglip2NavitConfig(**vit_config)
+        self.vit_config = vit_config
+        self.visual_vocab_size = visual_vocab_size
+        self.hidden_size = hidden_size
+        if kwargs.get('attn_implementation'):
+            self.llm_config._attn_implementation = kwargs['attn_implementation']
+            self.vit_config._attn_implementation = kwargs['attn_implementation']

generation_config.json

@@ -0,0 +1,15 @@
+{
+  "bos_token_id": 151643,
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "multimodal_max_length": 8192,
+  "pad_token_id": 151643,
+  "repetition_penalty": 1.05,
+  "temperature": 0.6,
+  "top_k": 20,
+  "top_p": 0.95,
+  "transformers_version": "4.51.3"
+}

model-00001-of-00002.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4bd7cec79fedabcd8149c62934fdffff7d840de111e8a17335d346bcbeba0c12
+size 4872524976

model-00002-of-00002.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0bb2d37fcbf03254938b72d4bf88da9f84c8c0307b4f7d6ee79aa0a3c2f7732d
+size 268435576

model.safetensors.index.json

@@ -0,0 +1,758 @@
+{
+  "metadata": {
+    "total_size": 5140859344
+  },
+  "weight_map": {
+    "llm.model.embed_tokens.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.0.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.0.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.0.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.0.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.0.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.0.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.0.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.0.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.0.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.0.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.0.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.1.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.1.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.1.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.1.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.1.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.1.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.1.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.1.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.1.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.1.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.1.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.10.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.10.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.10.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.10.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.10.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.10.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.10.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.10.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.10.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.10.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.10.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.11.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.11.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.11.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.11.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.11.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.11.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.11.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.11.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.11.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.11.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.11.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.12.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.12.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.12.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.12.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.12.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.12.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.12.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.12.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.12.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.12.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.12.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.13.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.13.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.13.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.13.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.13.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.13.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.13.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.13.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.13.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.13.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.13.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.14.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.14.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.14.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.14.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.14.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.14.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.14.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.14.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.14.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.14.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.14.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.15.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.15.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.15.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.15.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.15.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.15.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.15.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.15.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.15.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.15.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.15.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.16.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.16.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.16.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.16.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.16.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.16.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.16.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.16.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.16.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.16.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.16.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.17.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.17.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.17.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.17.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.17.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.17.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.17.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.17.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.17.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.17.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.17.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.18.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.18.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.18.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.18.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.18.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.18.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.18.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.18.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.18.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.18.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.18.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.19.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.19.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.19.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.19.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.19.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.19.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.19.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.19.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.19.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.19.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.19.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.2.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.2.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.2.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.2.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.2.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.2.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.2.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.2.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.2.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.2.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.2.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.20.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.20.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.20.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.20.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.20.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.20.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.20.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.20.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.20.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.20.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.20.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.21.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.21.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.21.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.21.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.21.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.21.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.21.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.21.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.21.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.21.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.21.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.22.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.22.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.22.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.22.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.22.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.22.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.22.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.22.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.22.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.22.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.22.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.23.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.23.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.23.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.23.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.23.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.23.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.23.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.23.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.23.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.23.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.23.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.24.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.24.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.24.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.24.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.24.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.24.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.24.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.24.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.24.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.24.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.24.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.25.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.25.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.25.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.25.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.25.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.25.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.25.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.25.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.25.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.25.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.25.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.26.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.26.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.26.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.26.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.26.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.26.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.26.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.26.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.26.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.26.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.26.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.27.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.27.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.27.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.27.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.27.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.27.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.27.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.27.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.27.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.27.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.27.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.3.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.3.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.3.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.3.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.3.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.3.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.3.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.3.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.3.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.3.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.3.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.4.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.4.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.4.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.4.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.4.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.4.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.4.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.4.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.4.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.4.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.4.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.5.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.5.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.5.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.5.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.5.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.5.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.5.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.5.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.5.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.5.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.5.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.6.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.6.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.6.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.6.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.6.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.6.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.6.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.6.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.6.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.6.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.6.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.7.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.7.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.7.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.7.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.7.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.7.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.7.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.7.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.7.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.7.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.7.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.8.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.8.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.8.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.8.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.8.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.8.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.8.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.8.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.8.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.8.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.8.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.9.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.9.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.9.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.9.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.9.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.9.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.9.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.9.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.9.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.9.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.layers.9.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "llm.model.norm.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.head.0.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.head.1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.head.1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.embeddings.patch_embedding.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.embeddings.patch_embedding.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.embeddings.position_embedding.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.0.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.0.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.0.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.0.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.0.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.0.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.0.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.0.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.0.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.0.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.0.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.0.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.0.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.0.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.0.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.0.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.1.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.1.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.1.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.1.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.1.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.1.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.1.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.1.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.1.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.1.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.1.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.1.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.1.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.1.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.1.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.1.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.10.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.10.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.10.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.10.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.10.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.10.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.10.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.10.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.10.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.10.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.10.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.10.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.10.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.10.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.10.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.10.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.11.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.11.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.11.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.11.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.11.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.11.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.11.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.11.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.11.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.11.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.11.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.11.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.11.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.11.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.11.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.11.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.12.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.12.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.12.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.12.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.12.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.12.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.12.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.12.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.12.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.12.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.12.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.12.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.12.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.12.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.12.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.12.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.13.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.13.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.13.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.13.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.13.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.13.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.13.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.13.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.13.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.13.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.13.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.13.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.13.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.13.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.13.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.13.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.14.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.14.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.14.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.14.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.14.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.14.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.14.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.14.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.14.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.14.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.14.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.14.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.14.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.14.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.14.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.14.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.15.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.15.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.15.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.15.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.15.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.15.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.15.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.15.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.15.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.15.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.15.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.15.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.15.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.15.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.15.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.15.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.16.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.16.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.16.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.16.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.16.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.16.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.16.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.16.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.16.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.16.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.16.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.16.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.16.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.16.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.16.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.16.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.17.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.17.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.17.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.17.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.17.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.17.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.17.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.17.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.17.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.17.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.17.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.17.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.17.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.17.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.17.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.17.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.18.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.18.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.18.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.18.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.18.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.18.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.18.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.18.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.18.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.18.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.18.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.18.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.18.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.18.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.18.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.18.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.19.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.19.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.19.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.19.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.19.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.19.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.19.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.19.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.19.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.19.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.19.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.19.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.19.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.19.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.19.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.19.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.2.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.2.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.2.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.2.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.2.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.2.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.2.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.2.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.2.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.2.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.2.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.2.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.2.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.2.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.2.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.2.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.20.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.20.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.20.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.20.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.20.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.20.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.20.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.20.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.20.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.20.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.20.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.20.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.20.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.20.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.20.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.20.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.21.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.21.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.21.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.21.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.21.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.21.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.21.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.21.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.21.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.21.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.21.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.21.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.21.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.21.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.21.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.21.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.22.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.22.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.22.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.22.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.22.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.22.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.22.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.22.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.22.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.22.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.22.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.22.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.22.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.22.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.22.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.22.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.23.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.23.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.23.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.23.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.23.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.23.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.23.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.23.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.23.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.23.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.23.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.23.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.23.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.23.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.23.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.23.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.24.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.24.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.24.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.24.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.24.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.24.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.24.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.24.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.24.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.24.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.24.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.24.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.24.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.24.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.24.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.24.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.25.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.25.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.25.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.25.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.25.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.25.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.25.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.25.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.25.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.25.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.25.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.25.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.25.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.25.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.25.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.25.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.26.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.26.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.26.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.26.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.26.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.26.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.26.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.26.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.26.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.26.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.26.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.26.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.26.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.26.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.26.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.26.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.3.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.3.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.3.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.3.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.3.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.3.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.3.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.3.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.3.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.3.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.3.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.3.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.3.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.3.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.3.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.3.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.4.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.4.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.4.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.4.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.4.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.4.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.4.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.4.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.4.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.4.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.4.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.4.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.4.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.4.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.4.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.4.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.5.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.5.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.5.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.5.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.5.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.5.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.5.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.5.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.5.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.5.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.5.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.5.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.5.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.5.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.5.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.5.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.6.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.6.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.6.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.6.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.6.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.6.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.6.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.6.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.6.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.6.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.6.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.6.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.6.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.6.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.6.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.6.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.7.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.7.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.7.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.7.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.7.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.7.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.7.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.7.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.7.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.7.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.7.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.7.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.7.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.7.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.7.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.7.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.8.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.8.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.8.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.8.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.8.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.8.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.8.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.8.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.8.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.8.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.8.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.8.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.8.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.8.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.8.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.8.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.9.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.9.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.9.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.9.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.9.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.9.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.9.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.9.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.9.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.9.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.9.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.9.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.9.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.9.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.9.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.encoder.layers.9.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.post_layernorm.bias": "model-00001-of-00002.safetensors",
+    "visual_tokenizer.vit.vision_model.post_layernorm.weight": "model-00001-of-00002.safetensors",
+    "vte.weight": "model-00002-of-00002.safetensors"
+  }
+}

preprocessor_config.json

@@ -0,0 +1,24 @@
+{
+  "do_convert_rgb": null,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "SiglipImageProcessor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "processor_class": "SiglipProcessor",
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 512,
+    "width": 512
+  }
+}

special_tokens_map.json

@@ -0,0 +1,31 @@
+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "eos_token": {
+    "content": "<|im_end|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

@@ -0,0 +1,247 @@
+{
+  "add_bos_token": false,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151645": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151646": {
+      "content": "<|object_ref_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151647": {
+      "content": "<|object_ref_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151648": {
+      "content": "<|box_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151649": {
+      "content": "<|box_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151650": {
+      "content": "<|quad_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151651": {
+      "content": "<|quad_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151652": {
+      "content": "<|vision_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151653": {
+      "content": "<|vision_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151654": {
+      "content": "<|vision_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151655": {
+      "content": "<|image_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151656": {
+      "content": "<|video_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151657": {
+      "content": "<tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151658": {
+      "content": "</tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151659": {
+      "content": "<|fim_prefix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151660": {
+      "content": "<|fim_middle|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151661": {
+      "content": "<|fim_suffix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151662": {
+      "content": "<|fim_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151663": {
+      "content": "<|repo_name|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151664": {
+      "content": "<|file_sep|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151665": {
+      "content": "<tool_response>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151666": {
+      "content": "</tool_response>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151667": {
+      "content": "<think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151668": {
+      "content": "</think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>",
+    "<image>",
+    "<video>",
+    "<ovis_visual_atom>",
+    "<ovis_image_start>",
+    "<ovis_image_end>",
+    "<ovis_video_start>",
+    "<ovis_video_end>"
+  ],
+  "bos_token": null,
+  "chat_template": "{%- for message in messages %}{{- '<|im_start|>' + message.role + '\n'}}{%- if message.role == 'system' or message.role == 'user' %}{%- if message.content is string %}{{- message.content | replace('<image>', '') | replace('<video>', '') }}{%- else %}{%- for item in message.content %}{%- if item.type == 'text' and 'text' in item %}{{- item.text | replace('<image>', '') | replace('<video>', '') }}{%- elif item.type == 'image' %}{{- '<image>'}}{%- elif item.type == 'video' %}{{- '<video>'}}{%- else %}{{- raise_exception('Invalid content type. Supported types for system and user are text, image, video.')}}{%- endif %}{%- if not loop.last %}{{- '\n'}}{%- endif %}{%- endfor %}{%- endif %}{%- elif message.role == 'assistant' %}{%- set content = '' %}{%- if message.content is string %}{%- set content = message.content | replace('<image>', '') | replace('<video>', '') %}{%- else %}{%- set ns = namespace(content='') -%}{%- for item in message.content %}{%- if item.type == 'text' and 'text' in item %}{%- set ns.content = ns.content ~ (item.text | replace('<image>', '') | replace('<video>', '')) %}{%- else %}{{- raise_exception('Invalid content type. Supported type for assistant is text.')}}{%- endif %}{%- endfor %}{%- set content = ns.content -%}{%- endif %}{%- set content = content.split('</think>')[-1].lstrip('\n') %}{{- content }}{%- else %}{{- raise_exception('Invalid role. Supported roles are system, user, assistant.')}}{%- endif %}{{- '<|im_end|>\n'}}{%- endfor %}{%- if add_generation_prompt %}{{- '<|im_start|>assistant\n' }}{%- if enable_thinking is defined and enable_thinking is false %}{{- '<think>\n\n</think>\n\n' }}{%- endif %}{%- endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}