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18
LICENSE
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LICENSE
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Xiaomi Miloco License Agreement
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Copyright (C) 2025 Xiaomi Corporation.
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The ownership and intellectual property rights in the entire content of Xiaomi Miloco project provided under this license, including but not limited to web_ui code, server code, ai_engine code, Xiaomi Home Cloud Service API interfaces, Xiaomi Home SDK, Xiaomi Home Device Model Context Protocol (MCP) services, Xiaomi MiMo-VL-Miloco model code and weight files (collectively, "Licensed Work") , whether provided in source code, object code, or any other form, are exclusively owned by Xiaomi. Subject to the terms and conditions of this License, Xiaomi hereby grants you a personal, limited, non-exclusive, non-transferable, non-sublicensable and roylaty-free license to reproduce, use, modify and distribute the Licensed Work only for your use of Xiaomi Miloco project for non-commercial purposes. For the avoidance of doubt, Xiaomi does not authorize you to use the Licensed Work for any other purpose, including but not limited to use Licensed Work to develop applications (APP), Web services, and other forms of software.
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You may reproduce and distribute copies of the Licensed Work, with or without modifications, whether in source or object form, provided that you must give any other recipients of the Licensed Work a copy of this License and retain all copyright and disclaimers.
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Xiaomi provides the Licensed Work on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties, undertakes or conditions of TITLE, NO ERROR OR OMISSION, CONTINUITY, RELIABILITY, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. In any event, you are solely responsible for any direct, indirect, special, incidental or consequential damages or losses arising from the use or redistribute of the Licensed Work or the inability to use the Licensed Work.
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Xiaomi reserves all rights not expressly granted to you in this License. Except for the rights expressly granted by Xiaomi under this License, Xiaomi does not authorize you in any form to use the trademarks, copyrights or other forms of intellectual property rights of Xiaomi and its affiliates, including, without limitation, without obtaining other written permission from Xiaomi, you shall not use "Xiaomi", "Mijia" and other words related to Xiaomi or words that may make the public associate with Xiaomi in any form to publicize or promote the software or hardware devices that using the Licensed Work.
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Xiaomi has the right to immediately terminate your all authorization under this License in the event:
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you assert patent invalidation, litigation or other claims against patents or other intellectual property rights of Xiaomi or its affiliates; or
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you make, have made, manufacture, sell or offer to sell the products that knock off Xiaomi or its affiliates' products.
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版权声明 (C) 2025 小米
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在本许可证下提供的Xiaomi Miloco项目的全部内容，包括但不限于前端代码、主服务代码、大模型推理服务代码、米家云服务API接口、米家SDK、米家设备MCP服务、Xiaomi MiMo-VL-Miloco模型的代码及其权重文件（统称为“授权作品”），无论以源代码、目标代码或其他形式提供，授权作品的所有权及知识产权均归小米所有。小米在此授予您一项个人的、有限的、非排他的、不可转让的、不可转授权的、免费的权利，仅限于您为非商业性目的使用Xiaomi Miloco项目而复制、使用、修改、分发授权作品。为避免疑义，本许可证未授权您将授权作品用于任何其他用途，包括但不限于开发应用程序（APP）、Web 服务以及其他形式的软件等。
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您在重新分发授权作品时，无论修改与否，无论以源码形式或目标代码形式，您均需保留本授权作品中的版权标识、免责声明及本许可证的副本。
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授权作品是按“现状”分发的，小米不对授权作品承担任何明示或暗示的保证或担保，包括但不限于对授权作品没有错误或疏漏、持续性、可靠性、适用于某一特定用途或不侵权等的保证、声明或承诺。在任何情况下，对于因使用授权作品或无法使用授权作品而引起的任何直接、间接、特殊、偶然或后果性损害或损失，您需自行承担全部责任。
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本许可证中未明确授予的所有权利均予保留，除本许可证明确授予您的权利外，小米未以任何形式授权您使用小米及小米关联公司的商标、著作权或其他任何形式的知识产权，例如在未获得小米另行书面许可的情况下，您不得使用“小米”、“米家”等与小米相关的字样或其他会使得公众联想到小米的字样对您使用授权作品的软件或搭载授权作品的硬件做任何形式的宣传或推广。
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在下述情况下，小米有权立即终止对您依据本许可证获得的授权：
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您对小米或其关联公司的专利或其他知识产权提起专利无效、诉讼或其他主张；或，
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您生产、制造（含委托制造）、销售（含委托销售）模仿或复制小米产品（包含小米关联公司的产品）的山寨产品。
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README.md
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<div align="center">
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<picture>
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<source srcset="https://github.com/XiaoMi/xiaomi-mimo-vl-miloco/blob/main/figures/logo.png?raw=true" media="(prefers-color-scheme: dark)">
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<img src="https://github.com/XiaoMi/xiaomi-mimo-vl-miloco/blob/main/figures/logo.png?raw=true" width="90%" alt="Xiaomi-MiMo-Vl-Miloco" />
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</picture>
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</div>
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<br/>
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<div align="center" style="line-height: 1;">
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<a href="https://huggingface.co/xiaomi-open-source/Xiaomi-MiMo-VL-Miloco-7B" target="_blank">🤗 HuggingFace</a>
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<a href="https://modelscope.cn/models/xiaomi-open-source/Xiaomi-MiMo-VL-Miloco-7B" target="_blank">🤖️ ModelScope</a>
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<br/>
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</div>
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<br/>
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## 介绍
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欢迎体验Xiaomi MiMo-VL-Miloco开源项目——首个开源的、多模态的家庭场景理解大模型！
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### 🤗 核心亮点
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- 基于MiMo-VL-7B：强大的视觉-语言基座，具备可靠的视频理解与指令遵循能力。
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- 为家庭场景而设计：能识别日常活动（电子竞技、健身锻炼、看电视、阅读等），并识读常见的手势，如比耶、点赞、张开手掌、OK，甚至比6手势。
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- 通用能力保持：训练策略结合了SFT和RL，MiMo-Vl-Miloco不仅拥有出色家庭场景理解能力，而且在通用任务上依然有较强的竞争力。
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### 🌟 训练笔记
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我们精心设计了两阶段优化策略，在保持模型基础的通用能力的同时，大幅提升模型的家庭场景理解能力。
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#### 阶段 一: 监督微调 (SFT)
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我们首先关注如何提升模型在家庭场景中的理解能力。通过构建少量高质量的数据集，我们在模型高效学习与推理效率之间取得了良好的平衡。
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- 构造思维链数据：我们通过构造思维链数据，让模型高效学习家庭场景知识。
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- 优化推理效率：通过采用“受限预算”的推理方式训练，能促使模型在推理阶段生成简洁明了的回答。
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#### 阶段 二: 强化学习 (RL)
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在监督微调的基础上，我们引入基于GRPO的强化学习算法来提升模型的综合性能:
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- 高效的训练数据：我们采用了[Time-R1](https://arxiv.org/abs/2503.13377) (我们的工作已经被NeurIPS 2025接受）的数据策略来构建多domain的高效训练数据。
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- 通用能力保持：在进行家庭场景专项优化时，维持原有的理解与语言生成能力。
|
||||
|
||||
简而言之：Xiaomi MiMo-VL-Miloco 就像你的模范室友——既友善又目光敏锐，擅长识别家中的日常事务，同时依然能适应更广阔的世界。
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### 😉 模型指南
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模型权重及其量化版本均已开源：
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- #### [**MiMo-VL-Miloco-7B**](https://modelscope.cn/models/xiaomi-open-source/Xiaomi-MiMo-VL-Miloco-7B)
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- 适合绝大多数用户深度体验。
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- #### [**MiMo-VL-Miloco-7B-GGUF**](https://modelscope.cn/models/xiaomi-open-source/Xiaomi-MiMo-VL-Miloco-7B-GGUF)
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- 混合精度量化版本。适合计算资源受限的场景。
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## 性能表现
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### 家庭场景理解能力评估 (F1-Score)
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- MiMo-VL-Miloco-7B无论是在手势识别的场景，还是在常见的家庭场景理解上，都达到了领先水平。
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<div align="center">
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<picture>
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<img src="https://github.com/XiaoMi/xiaomi-mimo-vl-miloco/blob/main/figures/radar.png?raw=true" width="90%" alt="Accuracy & Recall" />
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</picture>
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</div>
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### 通用能力评估
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在家庭场景理解下，我们重点关注的是视频、图像感知能力，以及模型的推理能力。
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- 在Video的三个benchmark上（Video-MME/Video-MMMU/Charades-STA）基座能力得到了明显的提升
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- 在通用能力的MMMU-Pro上，基座能力也都得到了显著的提升（10+%）
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- 令人意外的是，随着视频、图像理解能力的提升，纯文本任务MMLU-Pro也取得了一定的提升。
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- 在文档理解、OCR、数学类等任务上出现了一定程度的下降，这在预期之内，对本模型的目标场景没有影响。
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<div align="center">
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<picture>
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<img src="https://github.com/XiaoMi/xiaomi-mimo-vl-miloco/blob/main/figures/results_cn.png?raw=true" width="90%" alt="Accuracy & Recall" />
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</picture>
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</div>
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## 引用
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```bibtex
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@misc{xiaomimimovlmiloco,
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author = {Jiaze Li, Yuxun Qu, Jingyang Chen, Shijie Xu, Zhenru Lin, Junyou Zhu, Boshen Xu, Wenhui Tan, Pei Fu, JianZhong Ju, Zhenbo Luo, Jian Luan},
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title = {Xiaomi MiMo-VL-Miloco},
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year = {2025},
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howpublished = {\url{https://github.com/XiaoMi/xiaomi-mimo-vl-miloco}},
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}
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```
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## 联系方式
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欢迎通过邮箱联系我们：milm-plus@xiaomi.com。如果您有任何问题，可以随时在issue中提问。
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{
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"chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are MiMo, an AI assistant developed by Xiaomi.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}"
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}
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config.json
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{
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"architectures": [
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"Qwen2_5_VLForConditionalGeneration"
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],
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"attention_bias": true,
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"attention_dropout": 0.0,
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"hidden_act": "silu",
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"initializer_range": 0.02,
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"intermediate_size": 11008,
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"max_position_embeddings": 128000,
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"max_window_layers": 32,
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"model_type": "qwen2_5_vl",
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"num_attention_heads": 32,
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"num_hidden_layers": 36,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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"rope_scaling": {
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"factor": 1.0,
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"mrope_section": [
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16,
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"original_max_position_embeddings": 128000,
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"rope_type": "default",
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"type": "default"
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},
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"rope_theta": 640000.0,
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"sliding_window": 8192,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.51.3",
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"use_cache": false,
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"use_sliding_window": false,
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"video_token_id": 151656,
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"vision_config": {
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"depth": 32,
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"fullatt_block_indexes": [
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"hidden_act": "silu",
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"hidden_size": 1280,
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"in_channels": 3,
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"in_chans": 3,
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"intermediate_size": 3456,
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"model_type": "qwen2_5_vl",
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"num_heads": 16,
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"out_hidden_size": 4096,
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"patch_size": 14,
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"spatial_merge_size": 2,
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"spatial_patch_size": 14,
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"temporal_patch_size": 2,
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"tokens_per_second": 2,
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
"visual.blocks.9.norm1.weight": "model-00004-of-00004.safetensors",
|
||||
"visual.blocks.9.norm2.weight": "model-00003-of-00004.safetensors",
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||||
"visual.merger.ln_q.weight": "model-00003-of-00004.safetensors",
|
||||
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|
||||
"visual.merger.mlp.0.weight": "model-00003-of-00004.safetensors",
|
||||
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|
||||
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|
||||
"visual.patch_embed.proj.weight": "model-00001-of-00004.safetensors"
|
||||
}
|
||||
}
|
||||
29
preprocessor_config.json
Normal file
29
preprocessor_config.json
Normal file
@@ -0,0 +1,29 @@
|
||||
{
|
||||
"do_convert_rgb": true,
|
||||
"do_normalize": true,
|
||||
"do_rescale": true,
|
||||
"do_resize": true,
|
||||
"image_mean": [
|
||||
0.48145466,
|
||||
0.4578275,
|
||||
0.40821073
|
||||
],
|
||||
"image_processor_type": "Qwen2VLImageProcessor",
|
||||
"image_std": [
|
||||
0.26862954,
|
||||
0.26130258,
|
||||
0.27577711
|
||||
],
|
||||
"max_pixels": 12845056,
|
||||
"merge_size": 2,
|
||||
"min_pixels": 3136,
|
||||
"patch_size": 14,
|
||||
"processor_class": "Qwen2_5_VLProcessor",
|
||||
"resample": 3,
|
||||
"rescale_factor": 0.00392156862745098,
|
||||
"size": {
|
||||
"longest_edge": 12845056,
|
||||
"shortest_edge": 3136
|
||||
},
|
||||
"temporal_patch_size": 2
|
||||
}
|
||||
31
special_tokens_map.json
Normal file
31
special_tokens_map.json
Normal file
@@ -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
|
||||
}
|
||||
}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
|
||||
size 11421896
|
||||
209
tokenizer_config.json
Normal file
209
tokenizer_config.json
Normal file
@@ -0,0 +1,209 @@
|
||||
{
|
||||
"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,
|
||||
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|
||||
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|
||||
"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
|
||||
}
|
||||
},
|
||||
"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|>"
|
||||
],
|
||||
"bos_token": null,
|
||||
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are MiMo, an AI assistant developed by Xiaomi.' }}\n {%- endif %}\n {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nYou are MiMo, an AI assistant developed by Xiaomi.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"errors": "replace",
|
||||
"extra_special_tokens": {},
|
||||
"model_max_length": 131072,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"processor_class": "Qwen2_5_VLProcessor",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
BIN
vocab.json
(Stored with Git LFS)
Normal file
BIN
vocab.json
(Stored with Git LFS)
Normal file
Binary file not shown.
Reference in New Issue
Block a user