MiniMax-H3-Image with tabulated AdaLN modulation and a 50-layer text encoder
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- .gitattributes +2 -0
- LICENSE +84 -0
- NOTICE +3 -0
- README.md +148 -0
- assets/samples.jpg +3 -0
- assets/speed_memory_size.png +3 -0
- modular_model_index.json +98 -0
- processor/chat_template.json +3 -0
- processor/merges.txt +0 -0
- processor/preprocessor_config.json +21 -0
- processor/tokenizer.json +0 -0
- processor/tokenizer_config.json +246 -0
- processor/video_preprocessor_config.json +21 -0
- processor/vocab.json +0 -0
- scheduler/scheduler_config.json +6 -0
- text_encoder/chat_template.json +3 -0
- text_encoder/config.json +63 -0
- text_encoder/merges.txt +0 -0
- text_encoder/model-00001-of-00011.safetensors +3 -0
- text_encoder/model-00002-of-00011.safetensors +3 -0
- text_encoder/model-00003-of-00011.safetensors +3 -0
- text_encoder/model-00004-of-00011.safetensors +3 -0
- text_encoder/model-00005-of-00011.safetensors +3 -0
- text_encoder/model-00006-of-00011.safetensors +3 -0
- text_encoder/model-00007-of-00011.safetensors +3 -0
- text_encoder/model-00008-of-00011.safetensors +3 -0
- text_encoder/model-00009-of-00011.safetensors +3 -0
- text_encoder/model-00010-of-00011.safetensors +3 -0
- text_encoder/model-00011-of-00011.safetensors +3 -0
- text_encoder/model.safetensors.index.json +910 -0
- text_encoder/preprocessor_config.json +21 -0
- text_encoder/tokenizer.json +0 -0
- text_encoder/tokenizer_config.json +246 -0
- text_encoder/video_preprocessor_config.json +21 -0
- text_encoder/vocab.json +0 -0
- tokenizer/merges.txt +0 -0
- tokenizer/tokenizer.json +0 -0
- tokenizer/tokenizer_config.json +246 -0
- tokenizer/vocab.json +0 -0
- transformer/config.json +75 -0
- transformer/diffusion_pytorch_model-00001-of-00009.safetensors +3 -0
- transformer/diffusion_pytorch_model-00002-of-00009.safetensors +3 -0
- transformer/diffusion_pytorch_model-00003-of-00009.safetensors +3 -0
- transformer/diffusion_pytorch_model-00004-of-00009.safetensors +3 -0
- transformer/diffusion_pytorch_model-00005-of-00009.safetensors +3 -0
- transformer/diffusion_pytorch_model-00006-of-00009.safetensors +3 -0
- transformer/diffusion_pytorch_model-00007-of-00009.safetensors +3 -0
- transformer/diffusion_pytorch_model-00008-of-00009.safetensors +3 -0
- transformer/diffusion_pytorch_model-00009-of-00009.safetensors +3 -0
- transformer/diffusion_pytorch_model.safetensors.index.json +596 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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assets/samples.jpg filter=lfs diff=lfs merge=lfs -text
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assets/speed_memory_size.png filter=lfs diff=lfs merge=lfs -text
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LICENSE
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| 1 |
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MiniMax-H3-Image COMMUNITY LICENSE AGREEMENT
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MiniMax-H3-Image release date/License date: November 10, 2026.
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The scope of this License Agreement (this “Agreement”) is expressly limited to the “Applicable Territory” as defined below.
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| 4 |
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By clicking to accept, or by using, reproducing, modifying, distributing, running, or displaying any portion or element of the MiniMax-H3-Image Works (including through any Hosted Service) in any manner, you acknowledge and accept the terms of this Agreement, and this Agreement shall take immediate effect upon the occurrence of such act.
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I. Definitions
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| 6 |
+
1. “Acceptable Use Policy” means the policy published by MiniMax in Exhibit A.
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2. “Agreement” means the terms and conditions set forth herein that govern the use, reproduction, distribution, modification, running, and display of the MiniMax-H3-Image Works or any portion or element thereof.
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| 8 |
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3. “Applicable Territory” means worldwide, excluding the Excluded Territories.
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| 9 |
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4. “Documentation” means the specifications, manuals, and documentation concerning MiniMax-H3-Image that are publicly released by MiniMax.
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| 10 |
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5. “Excluded Territories” means the European Union, the United Kingdom, the Republic of Korea and the United States of America.
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| 11 |
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6. “MiniMax-H3-Image” means the image generation model, together with its software and algorithms, including trained model weights, parameters (including optimizer states), prompt-enhancement models, inference-supporting code, and other elements thereof made publicly available by Us, as released at https://huggingface.co/MiniMaxAI/MiniMax-H3-Image.
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7. “MiniMax-H3-Image Works” means (i) the Materials, (ii) the Model Derivatives, and (iii) all derivatives thereof.
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| 13 |
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8. “Hosted Service” means a service through which MiniMax-H3-Image or its Model Derivatives is hosted or operated and its functionality is made available to Third Parties, including via application programming interfaces (APIs), web access, or any other electronic or remote means.
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| 14 |
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9. “Licensee,” “you,” or “your” means the natural or legal person exercising rights and/or using the MiniMax-H3-Image Works for any purpose in any field of use under this Agreement.
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| 15 |
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10. “Materials” means, collectively, MiniMax-H3-Image and the Documentation (and any portion thereof), in each case as made available by MiniMax under this Agreement and proprietary to MiniMax.
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| 16 |
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11. “Model Derivatives” means all of the following: (i) any modification of MiniMax-H3-Image or any Model Derivative thereof; (ii) any work based on MiniMax-H3-Image or any Model Derivative thereof; or (iii) any other machine learning model created by transferring the patterns of the weights, parameters, operational patterns, or Outputs of MiniMax-H3-Image or any Model Derivative thereof to another model, such that the latter model exhibits behavior similar to MiniMax-H3-Image or its Model Derivatives, including by distillation methods, methods using intermediate data representations, or methods based on training using synthetic-data Outputs generated by MiniMax-H3-Image or its Model Derivatives. For the avoidance of doubt, Outputs are not deemed Model Derivatives.
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12. “Output” means any result of operating or otherwise using MiniMax-H3-Image or any Model Derivatives (including through Hosted Service).
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13. “Third Party” means any natural or legal person that is not under common control with us or with you.
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14. “Including” means “including but not limited to.”
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15. “We,” “Us” or “MiniMax” means Nanonoble Pte. Ltd..
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II. Grant of Rights
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Solely within the Applicable Territory, we grant you a non-exclusive, non-transferable, royalty-free, limited license to use, reproduce, distribute, create derivative works (including Model Derivatives), and modify the Materials in accordance with the terms of this Agreement and the Acceptable Use Policy, based on the intellectual property and other rights owned by MiniMax that are embodied in or used by the Materials. You shall not violate (or encourage or permit any person to violate) any term of this Agreement or the Acceptable Use Policy.
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| 23 |
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We will continuously evaluate the applicable laws, regulations and compliance requirements for the Excluded Territories. In the meantime, should any person in such Excluded Territories be interested in deploying our models, you are welcome to contact us about obtaining a license, which will be granted based on robust controls and guardrails for purposes of complying with the laws, regulations and compliance requirements of the Excluded Territories.
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| 24 |
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III. Distribution and Redistribution
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Subject to and conditioned on your continuing compliance with this Agreement, including its territorial restrictions and the Acceptable Use Policy, and solely within the Applicable Territory, you may distribute or make available the MiniMax-H3-Image Works to Third Parties within the Applicable Territory; provided, that all of the following conditions are met:
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| 26 |
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1. You must provide a copy of this Agreement to all such Third Parties who receive the MiniMax-H3-Image Works or use your products or services related thereto;
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2. You must cause any modified files to carry prominent notices stating that you have modified such files;
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3. You are encouraged to:
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a. display a notice on any product or service developed using MiniMax-H3-Image indicating that the product or service is “Powered by MiniMax-H3-Image”;
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b. add an AI-generation identifier to files produced using generative AI models including MiniMax-H3-Image; and
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c. publish at least one technical blog post or a public statement describing your experience using MiniMax-H3-Image Works;
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| 32 |
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4. All distributions to Third Parties (other than through Hosted Service) must be accompanied by a “NOTICE” text file containing the following notice:
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“MiniMax-H3-Image is licensed under the MiniMax-H3-Image Community License Agreement, Copyright © 2026 MiniMax. All Rights Reserved.”
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You may add your own copyright notices on your modifications; except as provided in this Section and in Section V, however, you may not impose additional or different terms and conditions on the use, reproduction, or distribution of your modifications or of any aggregate Model Derivatives, and your use, reproduction, modification, distribution, running, and display of the work must otherwise comply with the terms and conditions of this Agreement (including the provisions concerning the Applicable Territory). If you receive the MiniMax-H3-Image Works from a Licensee as part of an integrated end-user product, the provisions of Section III of this Agreement do not apply to you, but Section V and Exhibit A remain applicable.
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| 35 |
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IV. Additional Commercial Terms
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1. You shall obtain a separate, prior written authorization from MiniMax by sending a request through https://platform.minimax.io/license, if the Annualized Revenue of you and/or your affiliates exceeds 1 Million USD, or, you provide Hosted Service(s) to any Third Parties.
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2. You shall prominently display “MiniMax-H3-Image”on the user interface of commercial product or service that uses MiniMax-H3-Image or MiniMax-H3-Image Works.
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| 38 |
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V. Use Restrictions
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| 39 |
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1. Your use of the MiniMax-H3-Image Works must comply with applicable laws and regulations (including trade-compliance laws and regulations) and must comply with the Acceptable Use Policy for the MiniMax-H3-Image Works, which is incorporated into this Agreement by reference.
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| 40 |
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2. Before providing access to the MiniMax-H3-Image Works or any product, service, or Hosted Service incorporating them, you must bind each recipient or user to enforceable terms at least as protective as the use restrictions in this Section V and Exhibit A, and you must notify each recipient or user that those restrictions apply.
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3. You may not use the MiniMax-H3-Image Works or any of their Outputs or results to improve any other artificial intelligence model (other than MiniMax-H3-Image or its Model Derivatives).
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4. You may not use, reproduce, modify, distribute, or display the MiniMax-H3-Image Works or any of their Outputs or results outside the Applicable Territory. Any such use outside the Applicable Territory is not authorized by this Agreement.
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| 43 |
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5. If you provide or make available to any Third Party a product, service, or Hosted Service that permits the generation of Outputs using MiniMax-H3-Image or any Model Derivative, you must, before making that product or service available and throughout its operation, implement, maintain, test, and periodically review reasonable and proportionate technical and organizational safeguards designed to prevent and mitigate access, uses, and Outputs that violate this Section V or Exhibit A, including uses or Outputs that infringe, misappropriate, or otherwise violate any Third Party’s intellectual-property or other rights. You must not knowingly disable, materially weaken, or permit the circumvention of those safeguards. You must maintain a reasonably accessible mechanism for reporting suspected violations. Upon receiving a good-faith report or otherwise obtaining actual knowledge of a violation, you must promptly investigate and take reasonable steps within your control to stop or mitigate the violation, including removing or disabling access to offending content or services and suspending or terminating repeat violators where appropriate. You are responsible for implementing and enforcing these requirements with respect to your products, services, systems, users, and downstream recipients.
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VI. Intellectual Property
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1. Subject to MiniMax’s rights in the MiniMax-H3-Image Works (and the intellectual property therein), and to your compliance with the terms and conditions of this Agreement, as between you and MiniMax, you will own the derivative works and modifications of the Materials that you have created or had created, as well as any Model Derivatives.
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2. Except for the limited license expressly granted in this paragraph, no trademark license is granted under this Agreement; with respect to MiniMax-H3-Image Works, the Licensee may not use any name or mark owned by or associated with MiniMax or any of its affiliates, except as reasonably and customarily necessary to describe and distribute the MiniMax-H3-Image Works. MiniMax hereby grants you a license to use the “MiniMax-H3-Image” mark (the “Mark”) within the Applicable Territory solely for the purpose of complying with Section III.3; provided, that you comply with all applicable trademark-protection laws. All goodwill arising from your use of the Mark shall inure to the benefit of MiniMax.
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3. If you bring or assert any suit or other legal proceeding (including a cross-claim or counterclaim in any action) against us or any other natural or legal person alleging that the Materials, any Output, or any portion of the foregoing infringes any intellectual property right or other right owned by you or for which you can obtain a license, all licenses granted to you under this Agreement will terminate as of the date such suit or proceeding is filed. You shall defend, indemnify, and hold us harmless against any Third-Party claim arising out of or related to the use or distribution of the MiniMax-H3-Image Works by you or by any Third Party.
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4. MiniMax claims no rights over the Outputs you generate. You and your users are entirely responsible for the Outputs and any subsequent use thereof.
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VII. Disclaimers and Limitations of Liability
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1. We have no obligation to support, update, provide training for, or develop any further version of the MiniMax-H3-Image Works, or to grant any license with respect thereto.
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2. UNLESS AND ONLY TO THE EXTENT REQUIRED BY APPLICABLE LAW, THE MiniMax-H3-Image WORKS AND ANY OUTPUT AND RESULTS THEREFROM ARE PROVIDED “AS IS” WITHOUT ANY EXPRESS OR IMPLIED WARRANTIES OF ANY KIND INCLUDING ANY WARRANTIES OF TITLE, MERCHANTABILITY, NONINFRINGEMENT, COURSE OF DEALING, USAGE OF TRADE, OR FITNESS FOR A PARTICULAR PURPOSE. YOU ARE SOLELY RESPONSIBLE FOR DETERMINING THE APPROPRIATENESS OF USING, REPRODUCING, MODIFYING, PERFORMING, DISPLAYING OR DISTRIBUTING ANY OF THE MiniMax-H3-Image WORKS OR OUTPUTS AND ASSUME ANY AND ALL RISKS ASSOCIATED WITH YOUR OR A THIRD PARTY’S USE OR DISTRIBUTION OF ANY OF THE MiniMax-H3-Image WORKS OR OUTPUTS AND YOUR EXERCISE OF RIGHTS AND PERMISSIONS UNDER THIS AGREEMENT.
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3. TO THE FULLEST EXTENT PERMITTED BY APPLICABLE LAW, IN NO EVENT SHALL MINIMAX OR ITS AFFILIATES BE LIABLE UNDER ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, TORT, NEGLIGENCE, PRODUCTS LIABILITY, OR OTHERWISE, FOR ANY DAMAGES, INCLUDING ANY DIRECT, INDIRECT, SPECIAL, INCIDENTAL, EXEMPLARY, CONSEQUENTIAL OR PUNITIVE DAMAGES, OR LOST PROFITS OF ANY KIND ARISING FROM THIS AGREEMENT OR RELATED TO ANY OF THE MiniMax-H3-Image WORKS OR OUTPUTS, EVEN IF MINIMAX OR ITS AFFILIATES HAVE BEEN ADVISED OF THE POSSIBILITY OF ANY OF THE FOREGOING.
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VIII. Term and Termination
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1. This Agreement is effective from the moment you accept this Agreement or begin accessing the Materials, and, subject to your compliance with its terms and conditions, will remain in effect until terminated as provided herein.
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2. If you breach any term or condition of this Agreement, we have the right to terminate this Agreement. Upon termination, you must immediately cease accessing, using, and distributing the MiniMax-H3-Image Works; delete or destroy all copies within your possession or control; and notify each downstream recipient that your authorization has ended. The obligations in the preceding sentence and Sections VI.1, VI.3, VII, and IX survive termination.
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IX. Governing Law and Jurisdiction
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1. This Agreement, and any dispute arising out of or related to this Agreement, shall be governed by the laws of the Hong Kong Special Administrative Region of the People’s Republic of China, without regard to its conflict-of-laws rules. The United Nations Convention on Contracts for the International Sale of Goods does not apply to this Agreement.
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2. Any dispute arising out of or related to this Agreement shall be subject to the exclusive jurisdiction of the courts of the Hong Kong Special Administrative Region of the People’s Republic of China with competent jurisdiction. Both MiniMax and the Licensee hereby consent to the exclusive jurisdiction of such courts for any such dispute.
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Additional Note: Please note that the text-to-image prompt enhancer model (https://huggingface.co/MiniMaxAI/MiniMax-H3-Image-PE, "T2I PE Model") of MiniMax-H3-Image is derived from Qwen3.8-27B licensed under Apache 2.0 License: https://huggingface.co/Qwen/Qwen3.8-27B. The T2I PE Model is part of MiniMax-H3-Image and is accordingly subject to this Agreement for the avoidance of doubt.
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Exhibit A — Acceptable Use Policy
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MiniMax reserves the right to update this Acceptable Use Policy from time to time.
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Last revised: November 10, 2026.
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MiniMax is committed to promoting the safe and fair use of its tools and features, including MiniMax-H3-Image. You agree not to use MiniMax-H3-Image, any Model Derivatives, or any Output in any of the following ways:
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1. Use outside the Applicable Territory;
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2. Use in any manner that violates any applicable national, federal, state, local, or international law, regulation, or other legal requirement, or that infringes, misappropriates, or otherwise violates any Third Party’s intellectual-property or other proprietary rights, including through unauthorized reproduction, distribution, public display, public performance, or creation of derivative works;
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3. Use in any manner that may harm yourself or others;
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4. Use to repurpose or distribute the Outputs of MiniMax-H3-Image or any Model Derivatives in order to harm yourself or others;
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5. Use to circumvent or bypass any safety guardrails or safeguards we have implemented;
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6. Use in any manner that exploits or harms, or intends to exploit or harm, minors;
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7. Use to generate or disseminate verifiably false information and/or content for the purpose of harming others or influencing elections;
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8. Use to manufacture or facilitate false online engagement, including fake reviews and other means of false online engagement;
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9. Use to intentionally defame, disparage, or otherwise harass others;
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10. Use to generate and/or disseminate malware (including ransomware) or any other content intended to damage electronic systems;
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11. Use to generate or disseminate personally identifiable information for the purpose of harming others;
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12. Use to generate or disseminate information (including images, code, posts, or articles) in or to any public environment (including via bot tweets or similar means) without clearly and prominently disclosing that such information and/or content is machine-generated;
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13. Use to impersonate another person without that person’s consent, authorization, or lawful right to do so;
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14. Use to make high-risk automated decisions in critical domains that affect individual safety, rights, or well-being (such as law enforcement, immigration, healthcare or medical services, critical-infrastructure management, product-safety components, essential services, credit, employment, housing, education, social scoring, or insurance);
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15. Use in any manner that violates or disregards the social, ethical, or moral standards of other countries or regions;
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16. Use to carry out, assist, threaten, incite, plan, advocate for, or encourage violent extremism or terrorism;
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17. Use for any purpose intended to discriminate against, or harm, individuals or groups based on protected characteristics or categories, online or offline social behavior, or known or predicted personality traits;
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18. Use to intentionally exploit the vulnerabilities of specific populations based on age, social, physical, or psychological characteristics, so as to materially distort the behavior of a member of that group in a manner that causes, or is likely to cause, physical or psychological harm to that person or to others;
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19. Use for military purposes;
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20. Use to engage in any unauthorized or unlicensed professional activity, including but not limited to financial, legal, medical or healthcare, or other professional practice.
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NOTICE
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MiniMax-H3-Image is licensed under the MiniMax-H3-Image Community License Agreement, Copyright © 2026 MiniMax. All Rights Reserved.
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This repository is a modified version of MiniMax-H3-Image by WaveCut. Modified files carry a `_notice` entry (configs) or a `notice` metadata field (safetensors) describing the change.
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README.md
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|
| 1 |
+
---
|
| 2 |
+
license: other
|
| 3 |
+
license_name: minimax-h3-image-community-license
|
| 4 |
+
license_link: LICENSE
|
| 5 |
+
base_model: MiniMaxAI/MiniMax-H3-Image
|
| 6 |
+
pipeline_tag: text-to-image
|
| 7 |
+
library_name: diffusers
|
| 8 |
+
tags:
|
| 9 |
+
- minimax-h3-image
|
| 10 |
+
- text-to-image
|
| 11 |
+
- image-editing
|
| 12 |
+
- pruned
|
| 13 |
+
---
|
| 14 |
+
|
| 15 |
+
# MiniMax-H3-Image-Pruned
|
| 16 |
+
|
| 17 |
+
[MiniMax-H3-Image](https://huggingface.co/MiniMaxAI/MiniMax-H3-Image) without the weights its inference never needs:
|
| 18 |
+
135.3 GB → 94.1 GB on disk (transformer, text encoder and VAE), with images bit-identical to the original on the same
|
| 19 |
+
GPU. Every kept tensor is a byte copy of the original; nothing is quantized or retrained.
|
| 20 |
+
|
| 21 |
+
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
|
| 25 |
+
| | Original | Pruned |
|
| 26 |
+
|---|---|---|
|
| 27 |
+
| Transformer | 66.3 GB, 33.1B parameters | 40.3 GB, 20.1B parameters + 116 MB of tables |
|
| 28 |
+
| Text encoder (Qwen3-VL-32B) | 66.7 GB, 64 decoder layers | 51.5 GB, 50 decoder layers |
|
| 29 |
+
| VAE | 2.3 GB | 2.3 GB (unchanged) |
|
| 30 |
+
|
| 31 |
+
## What was removed
|
| 32 |
+
|
| 33 |
+
- **AdaLN projections (13.0B parameters).** Every block projects the timestep embedding to its modulation vectors.
|
| 34 |
+
The checkpoint samples on a fixed six-step grid (one output head per step), and the reference images of an edit stay
|
| 35 |
+
at t = 0.999, so these projections only ever produce a fixed set of values. They are stored as tables (116 MB)
|
| 36 |
+
computed with the original modules, and the projections, `time_embedder` and `norm_out.linear` are gone. One third
|
| 37 |
+
of every projection served the audio modality of MiniMax-H3, which the image model never uses; it is not kept.
|
| 38 |
+
- **Text encoder layers 50-63 and `lm_head`.** The transformer is conditioned on `hidden_states[50]` of the Qwen3-VL
|
| 39 |
+
text encoder, the output of decoder layer 49. Nothing after it contributes.
|
| 40 |
+
- **Dead rows of the last block (compute only).** After the last block only the generated image rows are read. The
|
| 41 |
+
text rows and the reference rows still provide keys and values, but their queries, attention output and feed-forward
|
| 42 |
+
are skipped.
|
| 43 |
+
|
| 44 |
+
## Usage
|
| 45 |
+
|
| 46 |
+
Install the loader and Diffusers with MiniMax-H3-Image support:
|
| 47 |
+
|
| 48 |
+
```bash
|
| 49 |
+
pip install "git+https://github.com/iamwavecut/MiniMax-H3-Image-Pruned" \
|
| 50 |
+
"diffusers @ git+https://github.com/huggingface/diffusers@875373ac7f5856071e345a3e394c74efccc6b9e6" \
|
| 51 |
+
"transformers>=5.22"
|
| 52 |
+
```
|
| 53 |
+
|
| 54 |
+
```python
|
| 55 |
+
import torch
|
| 56 |
+
from minimax_h3_image_pruned import load_pipeline
|
| 57 |
+
|
| 58 |
+
pipe = load_pipeline("WaveCut/MiniMax-H3-Image-Pruned") # model CPU offload; offload=False keeps everything on the GPU
|
| 59 |
+
image = pipe(
|
| 60 |
+
prompt="The image is a top-down photograph of ...",
|
| 61 |
+
height=3552,
|
| 62 |
+
width=4736,
|
| 63 |
+
generator=torch.Generator().manual_seed(42),
|
| 64 |
+
output="images",
|
| 65 |
+
)[0]
|
| 66 |
+
```
|
| 67 |
+
|
| 68 |
+
Editing: pass `image=reference` (or a list) and refer to the images as `<Picture 1>`, `<Picture 2>`, ... in the
|
| 69 |
+
prompt. The prompting guidance of the [original card](https://huggingface.co/MiniMaxAI/MiniMax-H3-Image) applies
|
| 70 |
+
unchanged: long, complete English descriptions; recommended sizes from 4096×4096 (1:1) to 6272×2688 (21:9).
|
| 71 |
+
|
| 72 |
+
The transformer alone also loads through Diffusers' remote code:
|
| 73 |
+
|
| 74 |
+
```python
|
| 75 |
+
from diffusers import AutoModel
|
| 76 |
+
|
| 77 |
+
transformer = AutoModel.from_pretrained(
|
| 78 |
+
"WaveCut/MiniMax-H3-Image-Pruned", subfolder="transformer", trust_remote_code=True, torch_dtype=torch.bfloat16
|
| 79 |
+
)
|
| 80 |
+
```
|
| 81 |
+
|
| 82 |
+
The text encoder needs `minimax_h3_image_pruned.adapt_text_encoder` after loading: it replaces the final norm with
|
| 83 |
+
an identity, so that the last hidden state of the 50-layer stack is the conditioning. The
|
| 84 |
+
[GitHub repository](https://github.com/iamwavecut/MiniMax-H3-Image-Pruned) has the build script, the verification
|
| 85 |
+
script and the details.
|
| 86 |
+
|
| 87 |
+
## Profiles
|
| 88 |
+
|
| 89 |
+
Measured on one RTX PRO 6000 Blackwell (96 GB), bfloat16, one image after a warm-up image. Time includes prompt
|
| 90 |
+
encoding, six steps and VAE decoding.
|
| 91 |
+
|
| 92 |
+
| Run | 2048×2048 | Edit, 2048×2048 | 4736×3552 | GPU memory peak, 4736×3552 |
|
| 93 |
+
|---|---|---|---|---|
|
| 94 |
+
| Original, model offload | 80.3 s | 83.7 s | 101.2 s | 68.2 GiB |
|
| 95 |
+
| Pruned, model offload (`load_pipeline()`) | 5.8 s | 9.2 s | 26.3 s | 92.6 GiB |
|
| 96 |
+
| Pruned, all on the GPU (`offload=False`) | 5.5 s | 8.9 s | 25.8 s | 92.6 GiB |
|
| 97 |
+
|
| 98 |
+
The time difference comes from memory, not from compute: the original (124 GiB of transformer and text encoder) does
|
| 99 |
+
not fit a 96 GB card, so the offload manager moves both models for every image. The pruned models (85.5 GiB) stay on
|
| 100 |
+
the GPU. The sampling steps themselves cost the same. On a GPU where the original fits (141 GB or more), expect similar
|
| 101 |
+
times for both; on an 80 GB GPU the pruned models also take turns on the GPU, with less data to move (neither case was
|
| 102 |
+
measured).
|
| 103 |
+
|
| 104 |
+
## Verification
|
| 105 |
+
|
| 106 |
+
`scripts/verify.py` in the GitHub repository ran the official Modular Diffusers pipeline and this checkpoint on the
|
| 107 |
+
same prompts and seeds: two text-to-image prompts and one edit at 2048×2048, and one text-to-image prompt at 4736×3552.
|
| 108 |
+
|
| 109 |
+
- Images: bit-identical in every run (0 differing pixels), with `skip_dead_rows` on (default) and off, with and
|
| 110 |
+
without offload.
|
| 111 |
+
- Text conditioning (`hidden_states[50]`, 36 to 1757 tokens): bit-identical.
|
| 112 |
+
- Transformer: the 18 recorded calls of the original pipeline, replayed through the pruned transformer, give
|
| 113 |
+
bit-identical outputs with and without `skip_dead_rows`.
|
| 114 |
+
|
| 115 |
+
Software: torch 2.11.0+cu128, diffusers at `875373ac`, transformers 5.22.2, NVIDIA driver 610.57; source checkpoint
|
| 116 |
+
`MiniMaxAI/MiniMax-H3-Image@492fd8c4`.
|
| 117 |
+
|
| 118 |
+
## Limits
|
| 119 |
+
|
| 120 |
+
- Only the release's six-step sampling grid: the tables hold no other timesteps, and the transformer raises an error
|
| 121 |
+
for them. The original has one output head per step of this grid and cannot change it either.
|
| 122 |
+
- The tables were computed on an RTX PRO 6000 Blackwell. On another GPU type the original model can round its own AdaLN
|
| 123 |
+
outputs differently by single bfloat16 steps, while the pruned model keeps the values of the build GPU, so the two
|
| 124 |
+
can differ there by about as much as the original differs between two GPU types (not measured).
|
| 125 |
+
`minimax-h3-image-prune --skip text_encoder copies` rebuilds the transformer and its tables on your GPU from the
|
| 126 |
+
original transformer (66 GB download, tables in about 5 s).
|
| 127 |
+
- Diffusers' context-parallel and tensor-parallel plans are not carried over. SGLang and ComfyUI do not load this
|
| 128 |
+
layout.
|
| 129 |
+
|
| 130 |
+
## Files
|
| 131 |
+
|
| 132 |
+
| Path | Content |
|
| 133 |
+
|---|---|
|
| 134 |
+
| `transformer/` | Pruned transformer, modulation tables, `modeling_minimax_h3_image_pruned.py` for remote code |
|
| 135 |
+
| `text_encoder/` | Qwen3-VL conditioner, decoder layers 0-49, with its tokenizer files |
|
| 136 |
+
| `vae/`, `tokenizer/`, `processor/`, `scheduler/` | Original files |
|
| 137 |
+
| `modular_model_index.json` | Modular Diffusers index |
|
| 138 |
+
| `LICENSE`, `NOTICE` | MiniMax-H3-Image Community License and the required notice |
|
| 139 |
+
| `assets/` | Card images |
|
| 140 |
+
|
| 141 |
+
## License
|
| 142 |
+
|
| 143 |
+
MiniMax-H3-Image is licensed under the MiniMax-H3-Image Community License Agreement, Copyright © 2026 MiniMax. All
|
| 144 |
+
Rights Reserved. This is a modified version by WaveCut; the modified files carry a notice of the change (`_notice` in
|
| 145 |
+
configs, `notice` in safetensors metadata). The license applies to this repository unchanged: use, reproduction and
|
| 146 |
+
distribution are licensed only within the Applicable Territory, which excludes the European Union, the United Kingdom,
|
| 147 |
+
the Republic of Korea and the United States of America, and they are subject to the Acceptable Use Policy (Exhibit A).
|
| 148 |
+
A Hosted Service, or annual revenue above 1 million USD, needs MiniMax's prior written authorization. See `LICENSE`.
|
assets/samples.jpg
ADDED
|
Git LFS Details
|
assets/speed_memory_size.png
ADDED
|
Git LFS Details
|
modular_model_index.json
ADDED
|
@@ -0,0 +1,98 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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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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|
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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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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "MiniMaxH3ImageModularPipeline",
|
| 3 |
+
"_diffusers_version": "0.42.0.dev0",
|
| 4 |
+
"_blocks_class_name": "MiniMaxH3ImageBlocks",
|
| 5 |
+
"sample_sigmas": [
|
| 6 |
+
1.0,
|
| 7 |
+
0.9675236940383911,
|
| 8 |
+
0.8875485062599182,
|
| 9 |
+
0.75,
|
| 10 |
+
0.5327739119529724,
|
| 11 |
+
0.23200887441635132,
|
| 12 |
+
0.0
|
| 13 |
+
],
|
| 14 |
+
"text_encoder": [
|
| 15 |
+
"transformers",
|
| 16 |
+
"Qwen3VLForConditionalGeneration",
|
| 17 |
+
{
|
| 18 |
+
"type_hint": [
|
| 19 |
+
"transformers",
|
| 20 |
+
"Qwen3VLForConditionalGeneration"
|
| 21 |
+
],
|
| 22 |
+
"pretrained_model_name_or_path": "WaveCut/MiniMax-H3-Image-Pruned",
|
| 23 |
+
"subfolder": "text_encoder",
|
| 24 |
+
"variant": null,
|
| 25 |
+
"revision": null
|
| 26 |
+
}
|
| 27 |
+
],
|
| 28 |
+
"tokenizer": [
|
| 29 |
+
"transformers",
|
| 30 |
+
"Qwen2TokenizerFast",
|
| 31 |
+
{
|
| 32 |
+
"type_hint": [
|
| 33 |
+
"transformers",
|
| 34 |
+
"Qwen2TokenizerFast"
|
| 35 |
+
],
|
| 36 |
+
"pretrained_model_name_or_path": "WaveCut/MiniMax-H3-Image-Pruned",
|
| 37 |
+
"subfolder": "tokenizer",
|
| 38 |
+
"variant": null,
|
| 39 |
+
"revision": null
|
| 40 |
+
}
|
| 41 |
+
],
|
| 42 |
+
"processor": [
|
| 43 |
+
"transformers",
|
| 44 |
+
"Qwen3VLProcessor",
|
| 45 |
+
{
|
| 46 |
+
"type_hint": [
|
| 47 |
+
"transformers",
|
| 48 |
+
"Qwen3VLProcessor"
|
| 49 |
+
],
|
| 50 |
+
"pretrained_model_name_or_path": "WaveCut/MiniMax-H3-Image-Pruned",
|
| 51 |
+
"subfolder": "processor",
|
| 52 |
+
"variant": null,
|
| 53 |
+
"revision": null
|
| 54 |
+
}
|
| 55 |
+
],
|
| 56 |
+
"vae": [
|
| 57 |
+
"diffusers",
|
| 58 |
+
"AutoencoderKLMiniMaxH3Image",
|
| 59 |
+
{
|
| 60 |
+
"type_hint": [
|
| 61 |
+
"diffusers",
|
| 62 |
+
"AutoencoderKLMiniMaxH3Image"
|
| 63 |
+
],
|
| 64 |
+
"pretrained_model_name_or_path": "WaveCut/MiniMax-H3-Image-Pruned",
|
| 65 |
+
"subfolder": "vae",
|
| 66 |
+
"variant": null,
|
| 67 |
+
"revision": null
|
| 68 |
+
}
|
| 69 |
+
],
|
| 70 |
+
"transformer": [
|
| 71 |
+
"diffusers",
|
| 72 |
+
"AutoModel",
|
| 73 |
+
{
|
| 74 |
+
"type_hint": [
|
| 75 |
+
"diffusers",
|
| 76 |
+
"AutoModel"
|
| 77 |
+
],
|
| 78 |
+
"pretrained_model_name_or_path": "WaveCut/MiniMax-H3-Image-Pruned",
|
| 79 |
+
"subfolder": "transformer",
|
| 80 |
+
"variant": null,
|
| 81 |
+
"revision": null
|
| 82 |
+
}
|
| 83 |
+
],
|
| 84 |
+
"scheduler": [
|
| 85 |
+
"diffusers",
|
| 86 |
+
"MiniMaxH3Scheduler",
|
| 87 |
+
{
|
| 88 |
+
"type_hint": [
|
| 89 |
+
"diffusers",
|
| 90 |
+
"MiniMaxH3Scheduler"
|
| 91 |
+
],
|
| 92 |
+
"pretrained_model_name_or_path": "WaveCut/MiniMax-H3-Image-Pruned",
|
| 93 |
+
"subfolder": "scheduler",
|
| 94 |
+
"variant": null,
|
| 95 |
+
"revision": null
|
| 96 |
+
}
|
| 97 |
+
]
|
| 98 |
+
}
|
processor/chat_template.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {%- if messages[0].content is string %}\n {{- messages[0].content }}\n {%- else %}\n {%- for content in messages[0].content %}\n {%- if 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '\\n\\n' }}\n {%- endif %}\n {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].content is string %}\n {{- messages[0].content }}\n {%- else %}\n {%- for content in messages[0].content %}\n {%- if 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set image_count = namespace(value=0) %}\n{%- set video_count = namespace(value=0) %}\n{%- for message in messages %}\n {%- if message.role == \"user\" %}\n {{- '<|im_start|>' + message.role + '\\n' }}\n {%- if message.content is string %}\n {{- message.content }}\n {%- else %}\n {%- for content in message.content %}\n {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}\n {%- set image_count.value = image_count.value + 1 %}\n {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}\n <|vision_start|><|image_pad|><|vision_end|>\n {%- elif content.type == 'video' or 'video' in content %}\n {%- set video_count.value = video_count.value + 1 %}\n {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}\n <|vision_start|><|video_pad|><|vision_end|>\n {%- elif 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role + '\\n' }}\n {%- if message.content is string %}\n {{- message.content }}\n {%- else %}\n {%- for content_item in message.content %}\n {%- if 'text' in content_item %}\n {{- content_item.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and message.content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {%- if message.content is string %}\n {{- message.content }}\n {%- else %}\n {%- for content in message.content %}\n {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}\n {%- set image_count.value = image_count.value + 1 %}\n {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}\n <|vision_start|><|image_pad|><|vision_end|>\n {%- elif content.type == 'video' or 'video' in content %}\n {%- set video_count.value = video_count.value + 1 %}\n {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}\n <|vision_start|><|video_pad|><|vision_end|>\n {%- elif 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n"
|
| 3 |
+
}
|
processor/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
processor/preprocessor_config.json
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"size": {
|
| 3 |
+
"longest_edge": 16777216,
|
| 4 |
+
"shortest_edge": 65536
|
| 5 |
+
},
|
| 6 |
+
"patch_size": 16,
|
| 7 |
+
"temporal_patch_size": 2,
|
| 8 |
+
"merge_size": 2,
|
| 9 |
+
"image_mean": [
|
| 10 |
+
0.5,
|
| 11 |
+
0.5,
|
| 12 |
+
0.5
|
| 13 |
+
],
|
| 14 |
+
"image_std": [
|
| 15 |
+
0.5,
|
| 16 |
+
0.5,
|
| 17 |
+
0.5
|
| 18 |
+
],
|
| 19 |
+
"processor_class": "Qwen3VLProcessor",
|
| 20 |
+
"image_processor_type": "Qwen2VLImageProcessorFast"
|
| 21 |
+
}
|
processor/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
processor/tokenizer_config.json
ADDED
|
@@ -0,0 +1,246 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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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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|
|
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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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|
|
|
|
|
|
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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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|
|
|
|
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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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|
|
|
|
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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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|
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|
|
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|
|
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|
|
|
|
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|
|
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|
|
|
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|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_prefix_space": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"151643": {
|
| 6 |
+
"content": "<|endoftext|>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"151644": {
|
| 14 |
+
"content": "<|im_start|>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"151645": {
|
| 22 |
+
"content": "<|im_end|>",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
+
},
|
| 29 |
+
"151646": {
|
| 30 |
+
"content": "<|object_ref_start|>",
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"normalized": false,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false,
|
| 35 |
+
"special": true
|
| 36 |
+
},
|
| 37 |
+
"151647": {
|
| 38 |
+
"content": "<|object_ref_end|>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false,
|
| 43 |
+
"special": true
|
| 44 |
+
},
|
| 45 |
+
"151648": {
|
| 46 |
+
"content": "<|box_start|>",
|
| 47 |
+
"lstrip": false,
|
| 48 |
+
"normalized": false,
|
| 49 |
+
"rstrip": false,
|
| 50 |
+
"single_word": false,
|
| 51 |
+
"special": true
|
| 52 |
+
},
|
| 53 |
+
"151649": {
|
| 54 |
+
"content": "<|box_end|>",
|
| 55 |
+
"lstrip": false,
|
| 56 |
+
"normalized": false,
|
| 57 |
+
"rstrip": false,
|
| 58 |
+
"single_word": false,
|
| 59 |
+
"special": true
|
| 60 |
+
},
|
| 61 |
+
"151650": {
|
| 62 |
+
"content": "<|quad_start|>",
|
| 63 |
+
"lstrip": false,
|
| 64 |
+
"normalized": false,
|
| 65 |
+
"rstrip": false,
|
| 66 |
+
"single_word": false,
|
| 67 |
+
"special": true
|
| 68 |
+
},
|
| 69 |
+
"151651": {
|
| 70 |
+
"content": "<|quad_end|>",
|
| 71 |
+
"lstrip": false,
|
| 72 |
+
"normalized": false,
|
| 73 |
+
"rstrip": false,
|
| 74 |
+
"single_word": false,
|
| 75 |
+
"special": true
|
| 76 |
+
},
|
| 77 |
+
"151652": {
|
| 78 |
+
"content": "<|vision_start|>",
|
| 79 |
+
"lstrip": false,
|
| 80 |
+
"normalized": false,
|
| 81 |
+
"rstrip": false,
|
| 82 |
+
"single_word": false,
|
| 83 |
+
"special": true
|
| 84 |
+
},
|
| 85 |
+
"151653": {
|
| 86 |
+
"content": "<|vision_end|>",
|
| 87 |
+
"lstrip": false,
|
| 88 |
+
"normalized": false,
|
| 89 |
+
"rstrip": false,
|
| 90 |
+
"single_word": false,
|
| 91 |
+
"special": true
|
| 92 |
+
},
|
| 93 |
+
"151654": {
|
| 94 |
+
"content": "<|vision_pad|>",
|
| 95 |
+
"lstrip": false,
|
| 96 |
+
"normalized": false,
|
| 97 |
+
"rstrip": false,
|
| 98 |
+
"single_word": false,
|
| 99 |
+
"special": true
|
| 100 |
+
},
|
| 101 |
+
"151655": {
|
| 102 |
+
"content": "<|image_pad|>",
|
| 103 |
+
"lstrip": false,
|
| 104 |
+
"normalized": false,
|
| 105 |
+
"rstrip": false,
|
| 106 |
+
"single_word": false,
|
| 107 |
+
"special": true
|
| 108 |
+
},
|
| 109 |
+
"151656": {
|
| 110 |
+
"content": "<|video_pad|>",
|
| 111 |
+
"lstrip": false,
|
| 112 |
+
"normalized": false,
|
| 113 |
+
"rstrip": false,
|
| 114 |
+
"single_word": false,
|
| 115 |
+
"special": true
|
| 116 |
+
},
|
| 117 |
+
"151657": {
|
| 118 |
+
"content": "<tool_call>",
|
| 119 |
+
"lstrip": false,
|
| 120 |
+
"normalized": false,
|
| 121 |
+
"rstrip": false,
|
| 122 |
+
"single_word": false,
|
| 123 |
+
"special": false
|
| 124 |
+
},
|
| 125 |
+
"151658": {
|
| 126 |
+
"content": "</tool_call>",
|
| 127 |
+
"lstrip": false,
|
| 128 |
+
"normalized": false,
|
| 129 |
+
"rstrip": false,
|
| 130 |
+
"single_word": false,
|
| 131 |
+
"special": false
|
| 132 |
+
},
|
| 133 |
+
"151659": {
|
| 134 |
+
"content": "<|fim_prefix|>",
|
| 135 |
+
"lstrip": false,
|
| 136 |
+
"normalized": false,
|
| 137 |
+
"rstrip": false,
|
| 138 |
+
"single_word": false,
|
| 139 |
+
"special": false
|
| 140 |
+
},
|
| 141 |
+
"151660": {
|
| 142 |
+
"content": "<|fim_middle|>",
|
| 143 |
+
"lstrip": false,
|
| 144 |
+
"normalized": false,
|
| 145 |
+
"rstrip": false,
|
| 146 |
+
"single_word": false,
|
| 147 |
+
"special": false
|
| 148 |
+
},
|
| 149 |
+
"151661": {
|
| 150 |
+
"content": "<|fim_suffix|>",
|
| 151 |
+
"lstrip": false,
|
| 152 |
+
"normalized": false,
|
| 153 |
+
"rstrip": false,
|
| 154 |
+
"single_word": false,
|
| 155 |
+
"special": false
|
| 156 |
+
},
|
| 157 |
+
"151662": {
|
| 158 |
+
"content": "<|fim_pad|>",
|
| 159 |
+
"lstrip": false,
|
| 160 |
+
"normalized": false,
|
| 161 |
+
"rstrip": false,
|
| 162 |
+
"single_word": false,
|
| 163 |
+
"special": false
|
| 164 |
+
},
|
| 165 |
+
"151663": {
|
| 166 |
+
"content": "<|repo_name|>",
|
| 167 |
+
"lstrip": false,
|
| 168 |
+
"normalized": false,
|
| 169 |
+
"rstrip": false,
|
| 170 |
+
"single_word": false,
|
| 171 |
+
"special": false
|
| 172 |
+
},
|
| 173 |
+
"151664": {
|
| 174 |
+
"content": "<|file_sep|>",
|
| 175 |
+
"lstrip": false,
|
| 176 |
+
"normalized": false,
|
| 177 |
+
"rstrip": false,
|
| 178 |
+
"single_word": false,
|
| 179 |
+
"special": false
|
| 180 |
+
},
|
| 181 |
+
"151665": {
|
| 182 |
+
"content": "<tool_response>",
|
| 183 |
+
"lstrip": false,
|
| 184 |
+
"normalized": false,
|
| 185 |
+
"rstrip": false,
|
| 186 |
+
"single_word": false,
|
| 187 |
+
"special": false
|
| 188 |
+
},
|
| 189 |
+
"151666": {
|
| 190 |
+
"content": "</tool_response>",
|
| 191 |
+
"lstrip": false,
|
| 192 |
+
"normalized": false,
|
| 193 |
+
"rstrip": false,
|
| 194 |
+
"single_word": false,
|
| 195 |
+
"special": false
|
| 196 |
+
},
|
| 197 |
+
"151667": {
|
| 198 |
+
"content": "<think>",
|
| 199 |
+
"lstrip": false,
|
| 200 |
+
"normalized": false,
|
| 201 |
+
"rstrip": false,
|
| 202 |
+
"single_word": false,
|
| 203 |
+
"special": false
|
| 204 |
+
},
|
| 205 |
+
"151668": {
|
| 206 |
+
"content": "</think>",
|
| 207 |
+
"lstrip": false,
|
| 208 |
+
"normalized": false,
|
| 209 |
+
"rstrip": false,
|
| 210 |
+
"single_word": false,
|
| 211 |
+
"special": false
|
| 212 |
+
}
|
| 213 |
+
},
|
| 214 |
+
"additional_special_tokens": [
|
| 215 |
+
"<|im_start|>",
|
| 216 |
+
"<|im_end|>",
|
| 217 |
+
"<|object_ref_start|>",
|
| 218 |
+
"<|object_ref_end|>",
|
| 219 |
+
"<|box_start|>",
|
| 220 |
+
"<|box_end|>",
|
| 221 |
+
"<|quad_start|>",
|
| 222 |
+
"<|quad_end|>",
|
| 223 |
+
"<|vision_start|>",
|
| 224 |
+
"<|vision_end|>",
|
| 225 |
+
"<|vision_pad|>",
|
| 226 |
+
"<|image_pad|>",
|
| 227 |
+
"<|video_pad|>",
|
| 228 |
+
"<d>",
|
| 229 |
+
"</d>",
|
| 230 |
+
"<|cutoff|>",
|
| 231 |
+
"<|lyrics_start|>",
|
| 232 |
+
"<|lyrics_end|>",
|
| 233 |
+
"<|caption_start|>",
|
| 234 |
+
"<|caption_end|>"
|
| 235 |
+
],
|
| 236 |
+
"bos_token": null,
|
| 237 |
+
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {%- if messages[0].content is string %}\n {{- messages[0].content }}\n {%- else %}\n {%- for content in messages[0].content %}\n {%- if 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '\\n\\n' }}\n {%- endif %}\n {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].content is string %}\n {{- messages[0].content }}\n {%- else %}\n {%- for content in messages[0].content %}\n {%- if 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set image_count = namespace(value=0) %}\n{%- set video_count = namespace(value=0) %}\n{%- for message in messages %}\n {%- if message.role == \"user\" %}\n {{- '<|im_start|>' + message.role + '\\n' }}\n {%- if message.content is string %}\n {{- message.content }}\n {%- else %}\n {%- for content in message.content %}\n {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}\n {%- set image_count.value = image_count.value + 1 %}\n {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}\n <|vision_start|><|image_pad|><|vision_end|>\n {%- elif content.type == 'video' or 'video' in content %}\n {%- set video_count.value = video_count.value + 1 %}\n {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}\n <|vision_start|><|video_pad|><|vision_end|>\n {%- elif 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role + '\\n' }}\n {%- if message.content is string %}\n {{- message.content }}\n {%- else %}\n {%- for content_item in message.content %}\n {%- if 'text' in content_item %}\n {{- content_item.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and message.content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {%- if message.content is string %}\n {{- message.content }}\n {%- else %}\n {%- for content in message.content %}\n {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}\n {%- set image_count.value = image_count.value + 1 %}\n {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}\n <|vision_start|><|image_pad|><|vision_end|>\n {%- elif content.type == 'video' or 'video' in content %}\n {%- set video_count.value = video_count.value + 1 %}\n {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}\n <|vision_start|><|video_pad|><|vision_end|>\n {%- elif 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
|
| 238 |
+
"clean_up_tokenization_spaces": false,
|
| 239 |
+
"eos_token": "<|im_end|>",
|
| 240 |
+
"errors": "replace",
|
| 241 |
+
"model_max_length": 262144,
|
| 242 |
+
"pad_token": "<|endoftext|>",
|
| 243 |
+
"split_special_tokens": false,
|
| 244 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 245 |
+
"unk_token": null
|
| 246 |
+
}
|
processor/video_preprocessor_config.json
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"size": {
|
| 3 |
+
"longest_edge": 25165824,
|
| 4 |
+
"shortest_edge": 4096
|
| 5 |
+
},
|
| 6 |
+
"patch_size": 16,
|
| 7 |
+
"temporal_patch_size": 2,
|
| 8 |
+
"merge_size": 2,
|
| 9 |
+
"image_mean": [
|
| 10 |
+
0.5,
|
| 11 |
+
0.5,
|
| 12 |
+
0.5
|
| 13 |
+
],
|
| 14 |
+
"image_std": [
|
| 15 |
+
0.5,
|
| 16 |
+
0.5,
|
| 17 |
+
0.5
|
| 18 |
+
],
|
| 19 |
+
"processor_class": "Qwen3VLProcessor",
|
| 20 |
+
"video_processor_type": "Qwen3VLVideoProcessor"
|
| 21 |
+
}
|
processor/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
scheduler/scheduler_config.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "MiniMaxH3Scheduler",
|
| 3 |
+
"_diffusers_version": "0.42.0.dev0",
|
| 4 |
+
"shift_provided_sigmas": false,
|
| 5 |
+
"euler_update_form": "velocity"
|
| 6 |
+
}
|
text_encoder/chat_template.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {%- if messages[0].content is string %}\n {{- messages[0].content }}\n {%- else %}\n {%- for content in messages[0].content %}\n {%- if 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '\\n\\n' }}\n {%- endif %}\n {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].content is string %}\n {{- messages[0].content }}\n {%- else %}\n {%- for content in messages[0].content %}\n {%- if 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set image_count = namespace(value=0) %}\n{%- set video_count = namespace(value=0) %}\n{%- for message in messages %}\n {%- if message.role == \"user\" %}\n {{- '<|im_start|>' + message.role + '\\n' }}\n {%- if message.content is string %}\n {{- message.content }}\n {%- else %}\n {%- for content in message.content %}\n {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}\n {%- set image_count.value = image_count.value + 1 %}\n {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}\n <|vision_start|><|image_pad|><|vision_end|>\n {%- elif content.type == 'video' or 'video' in content %}\n {%- set video_count.value = video_count.value + 1 %}\n {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}\n <|vision_start|><|video_pad|><|vision_end|>\n {%- elif 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role + '\\n' }}\n {%- if message.content is string %}\n {{- message.content }}\n {%- else %}\n {%- for content_item in message.content %}\n {%- if 'text' in content_item %}\n {{- content_item.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and message.content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {%- if message.content is string %}\n {{- message.content }}\n {%- else %}\n {%- for content in message.content %}\n {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}\n {%- set image_count.value = image_count.value + 1 %}\n {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}\n <|vision_start|><|image_pad|><|vision_end|>\n {%- elif content.type == 'video' or 'video' in content %}\n {%- set video_count.value = video_count.value + 1 %}\n {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}\n <|vision_start|><|video_pad|><|vision_end|>\n {%- elif 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n"
|
| 3 |
+
}
|
text_encoder/config.json
ADDED
|
@@ -0,0 +1,63 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3VLForConditionalGeneration"
|
| 4 |
+
],
|
| 5 |
+
"image_token_id": 151655,
|
| 6 |
+
"model_type": "qwen3_vl",
|
| 7 |
+
"text_config": {
|
| 8 |
+
"attention_bias": false,
|
| 9 |
+
"attention_dropout": 0.0,
|
| 10 |
+
"bos_token_id": 151643,
|
| 11 |
+
"dtype": "bfloat16",
|
| 12 |
+
"eos_token_id": 151645,
|
| 13 |
+
"head_dim": 128,
|
| 14 |
+
"hidden_act": "silu",
|
| 15 |
+
"hidden_size": 5120,
|
| 16 |
+
"initializer_range": 0.02,
|
| 17 |
+
"intermediate_size": 25600,
|
| 18 |
+
"max_position_embeddings": 262144,
|
| 19 |
+
"model_type": "qwen3_vl_text",
|
| 20 |
+
"num_attention_heads": 64,
|
| 21 |
+
"num_hidden_layers": 50,
|
| 22 |
+
"num_key_value_heads": 8,
|
| 23 |
+
"rms_norm_eps": 1e-06,
|
| 24 |
+
"rope_scaling": {
|
| 25 |
+
"mrope_interleaved": true,
|
| 26 |
+
"mrope_section": [
|
| 27 |
+
24,
|
| 28 |
+
20,
|
| 29 |
+
20
|
| 30 |
+
],
|
| 31 |
+
"rope_type": "default"
|
| 32 |
+
},
|
| 33 |
+
"rope_theta": 5000000,
|
| 34 |
+
"use_cache": true,
|
| 35 |
+
"vocab_size": 151936
|
| 36 |
+
},
|
| 37 |
+
"tie_word_embeddings": true,
|
| 38 |
+
"transformers_version": "4.57.0.dev0",
|
| 39 |
+
"video_token_id": 151656,
|
| 40 |
+
"vision_config": {
|
| 41 |
+
"deepstack_visual_indexes": [
|
| 42 |
+
8,
|
| 43 |
+
16,
|
| 44 |
+
24
|
| 45 |
+
],
|
| 46 |
+
"depth": 27,
|
| 47 |
+
"hidden_act": "gelu_pytorch_tanh",
|
| 48 |
+
"hidden_size": 1152,
|
| 49 |
+
"in_channels": 3,
|
| 50 |
+
"initializer_range": 0.02,
|
| 51 |
+
"intermediate_size": 4304,
|
| 52 |
+
"model_type": "qwen3_vl",
|
| 53 |
+
"num_heads": 16,
|
| 54 |
+
"num_position_embeddings": 2304,
|
| 55 |
+
"out_hidden_size": 5120,
|
| 56 |
+
"patch_size": 16,
|
| 57 |
+
"spatial_merge_size": 2,
|
| 58 |
+
"temporal_patch_size": 2
|
| 59 |
+
},
|
| 60 |
+
"vision_end_token_id": 151653,
|
| 61 |
+
"vision_start_token_id": 151652,
|
| 62 |
+
"_notice": "Modified by WaveCut from MiniMaxAI/MiniMax-H3-Image@492fd8c4eca666f1085f57e30738c1e0d86b3439: decoder layers 50+ and lm_head removed; the pipeline reads hidden_states[50]."
|
| 63 |
+
}
|
text_encoder/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
text_encoder/model-00001-of-00011.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e7a16e4ba468fa3cf0e6a61eafffebafe20aea2b15782c9bf6b39c02356ad836
|
| 3 |
+
size 4932329128
|
text_encoder/model-00002-of-00011.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8925f84c9aee266e20fdfe9b8163ed017e8f5f12ebff14e46c6dcf07afb122ef
|
| 3 |
+
size 4876001080
|
text_encoder/model-00003-of-00011.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f454cd71f516e7135be68f6c9987ba1d53d6c47addf7acd435917e23c1fec512
|
| 3 |
+
size 4875980376
|
text_encoder/model-00004-of-00011.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8abd419815d37b7bfc5db51ad3961e13183872ff2a6e0443cf2bf3f99ccc1037
|
| 3 |
+
size 4875990768
|
text_encoder/model-00005-of-00011.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f69f2d22cd93b6b4099148da9e96674c1239e04dc8411599247d986d635f2e4b
|
| 3 |
+
size 4875990768
|
text_encoder/model-00006-of-00011.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
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| 3 |
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size 4875990768
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text_encoder/model-00007-of-00011.safetensors
ADDED
|
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| 1 |
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size 4875990768
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text_encoder/model-00008-of-00011.safetensors
ADDED
|
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| 1 |
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version https://git-lfs.github.com/spec/v1
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size 4875990768
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text_encoder/model-00009-of-00011.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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size 4875990768
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text_encoder/model-00010-of-00011.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 3 |
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size 4875990768
|
text_encoder/model-00011-of-00011.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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size 2690070560
|
text_encoder/model.safetensors.index.json
ADDED
|
@@ -0,0 +1,910 @@
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|
| 910 |
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|
text_encoder/preprocessor_config.json
ADDED
|
@@ -0,0 +1,21 @@
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|
| 1 |
+
{
|
| 2 |
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"size": {
|
| 3 |
+
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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0.5,
|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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"processor_class": "Qwen3VLProcessor",
|
| 20 |
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"image_processor_type": "Qwen2VLImageProcessorFast"
|
| 21 |
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|
text_encoder/tokenizer.json
ADDED
|
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|
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|
text_encoder/tokenizer_config.json
ADDED
|
@@ -0,0 +1,246 @@
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|
| 1 |
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| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
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|
| 11 |
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|
| 12 |
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| 14 |
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| 27 |
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| 28 |
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| 54 |
+
"content": "<|box_end|>",
|
| 55 |
+
"lstrip": false,
|
| 56 |
+
"normalized": false,
|
| 57 |
+
"rstrip": false,
|
| 58 |
+
"single_word": false,
|
| 59 |
+
"special": true
|
| 60 |
+
},
|
| 61 |
+
"151650": {
|
| 62 |
+
"content": "<|quad_start|>",
|
| 63 |
+
"lstrip": false,
|
| 64 |
+
"normalized": false,
|
| 65 |
+
"rstrip": false,
|
| 66 |
+
"single_word": false,
|
| 67 |
+
"special": true
|
| 68 |
+
},
|
| 69 |
+
"151651": {
|
| 70 |
+
"content": "<|quad_end|>",
|
| 71 |
+
"lstrip": false,
|
| 72 |
+
"normalized": false,
|
| 73 |
+
"rstrip": false,
|
| 74 |
+
"single_word": false,
|
| 75 |
+
"special": true
|
| 76 |
+
},
|
| 77 |
+
"151652": {
|
| 78 |
+
"content": "<|vision_start|>",
|
| 79 |
+
"lstrip": false,
|
| 80 |
+
"normalized": false,
|
| 81 |
+
"rstrip": false,
|
| 82 |
+
"single_word": false,
|
| 83 |
+
"special": true
|
| 84 |
+
},
|
| 85 |
+
"151653": {
|
| 86 |
+
"content": "<|vision_end|>",
|
| 87 |
+
"lstrip": false,
|
| 88 |
+
"normalized": false,
|
| 89 |
+
"rstrip": false,
|
| 90 |
+
"single_word": false,
|
| 91 |
+
"special": true
|
| 92 |
+
},
|
| 93 |
+
"151654": {
|
| 94 |
+
"content": "<|vision_pad|>",
|
| 95 |
+
"lstrip": false,
|
| 96 |
+
"normalized": false,
|
| 97 |
+
"rstrip": false,
|
| 98 |
+
"single_word": false,
|
| 99 |
+
"special": true
|
| 100 |
+
},
|
| 101 |
+
"151655": {
|
| 102 |
+
"content": "<|image_pad|>",
|
| 103 |
+
"lstrip": false,
|
| 104 |
+
"normalized": false,
|
| 105 |
+
"rstrip": false,
|
| 106 |
+
"single_word": false,
|
| 107 |
+
"special": true
|
| 108 |
+
},
|
| 109 |
+
"151656": {
|
| 110 |
+
"content": "<|video_pad|>",
|
| 111 |
+
"lstrip": false,
|
| 112 |
+
"normalized": false,
|
| 113 |
+
"rstrip": false,
|
| 114 |
+
"single_word": false,
|
| 115 |
+
"special": true
|
| 116 |
+
},
|
| 117 |
+
"151657": {
|
| 118 |
+
"content": "<tool_call>",
|
| 119 |
+
"lstrip": false,
|
| 120 |
+
"normalized": false,
|
| 121 |
+
"rstrip": false,
|
| 122 |
+
"single_word": false,
|
| 123 |
+
"special": false
|
| 124 |
+
},
|
| 125 |
+
"151658": {
|
| 126 |
+
"content": "</tool_call>",
|
| 127 |
+
"lstrip": false,
|
| 128 |
+
"normalized": false,
|
| 129 |
+
"rstrip": false,
|
| 130 |
+
"single_word": false,
|
| 131 |
+
"special": false
|
| 132 |
+
},
|
| 133 |
+
"151659": {
|
| 134 |
+
"content": "<|fim_prefix|>",
|
| 135 |
+
"lstrip": false,
|
| 136 |
+
"normalized": false,
|
| 137 |
+
"rstrip": false,
|
| 138 |
+
"single_word": false,
|
| 139 |
+
"special": false
|
| 140 |
+
},
|
| 141 |
+
"151660": {
|
| 142 |
+
"content": "<|fim_middle|>",
|
| 143 |
+
"lstrip": false,
|
| 144 |
+
"normalized": false,
|
| 145 |
+
"rstrip": false,
|
| 146 |
+
"single_word": false,
|
| 147 |
+
"special": false
|
| 148 |
+
},
|
| 149 |
+
"151661": {
|
| 150 |
+
"content": "<|fim_suffix|>",
|
| 151 |
+
"lstrip": false,
|
| 152 |
+
"normalized": false,
|
| 153 |
+
"rstrip": false,
|
| 154 |
+
"single_word": false,
|
| 155 |
+
"special": false
|
| 156 |
+
},
|
| 157 |
+
"151662": {
|
| 158 |
+
"content": "<|fim_pad|>",
|
| 159 |
+
"lstrip": false,
|
| 160 |
+
"normalized": false,
|
| 161 |
+
"rstrip": false,
|
| 162 |
+
"single_word": false,
|
| 163 |
+
"special": false
|
| 164 |
+
},
|
| 165 |
+
"151663": {
|
| 166 |
+
"content": "<|repo_name|>",
|
| 167 |
+
"lstrip": false,
|
| 168 |
+
"normalized": false,
|
| 169 |
+
"rstrip": false,
|
| 170 |
+
"single_word": false,
|
| 171 |
+
"special": false
|
| 172 |
+
},
|
| 173 |
+
"151664": {
|
| 174 |
+
"content": "<|file_sep|>",
|
| 175 |
+
"lstrip": false,
|
| 176 |
+
"normalized": false,
|
| 177 |
+
"rstrip": false,
|
| 178 |
+
"single_word": false,
|
| 179 |
+
"special": false
|
| 180 |
+
},
|
| 181 |
+
"151665": {
|
| 182 |
+
"content": "<tool_response>",
|
| 183 |
+
"lstrip": false,
|
| 184 |
+
"normalized": false,
|
| 185 |
+
"rstrip": false,
|
| 186 |
+
"single_word": false,
|
| 187 |
+
"special": false
|
| 188 |
+
},
|
| 189 |
+
"151666": {
|
| 190 |
+
"content": "</tool_response>",
|
| 191 |
+
"lstrip": false,
|
| 192 |
+
"normalized": false,
|
| 193 |
+
"rstrip": false,
|
| 194 |
+
"single_word": false,
|
| 195 |
+
"special": false
|
| 196 |
+
},
|
| 197 |
+
"151667": {
|
| 198 |
+
"content": "<think>",
|
| 199 |
+
"lstrip": false,
|
| 200 |
+
"normalized": false,
|
| 201 |
+
"rstrip": false,
|
| 202 |
+
"single_word": false,
|
| 203 |
+
"special": false
|
| 204 |
+
},
|
| 205 |
+
"151668": {
|
| 206 |
+
"content": "</think>",
|
| 207 |
+
"lstrip": false,
|
| 208 |
+
"normalized": false,
|
| 209 |
+
"rstrip": false,
|
| 210 |
+
"single_word": false,
|
| 211 |
+
"special": false
|
| 212 |
+
}
|
| 213 |
+
},
|
| 214 |
+
"additional_special_tokens": [
|
| 215 |
+
"<|im_start|>",
|
| 216 |
+
"<|im_end|>",
|
| 217 |
+
"<|object_ref_start|>",
|
| 218 |
+
"<|object_ref_end|>",
|
| 219 |
+
"<|box_start|>",
|
| 220 |
+
"<|box_end|>",
|
| 221 |
+
"<|quad_start|>",
|
| 222 |
+
"<|quad_end|>",
|
| 223 |
+
"<|vision_start|>",
|
| 224 |
+
"<|vision_end|>",
|
| 225 |
+
"<|vision_pad|>",
|
| 226 |
+
"<|image_pad|>",
|
| 227 |
+
"<|video_pad|>",
|
| 228 |
+
"<d>",
|
| 229 |
+
"</d>",
|
| 230 |
+
"<|cutoff|>",
|
| 231 |
+
"<|lyrics_start|>",
|
| 232 |
+
"<|lyrics_end|>",
|
| 233 |
+
"<|caption_start|>",
|
| 234 |
+
"<|caption_end|>"
|
| 235 |
+
],
|
| 236 |
+
"bos_token": null,
|
| 237 |
+
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {%- if messages[0].content is string %}\n {{- messages[0].content }}\n {%- else %}\n {%- for content in messages[0].content %}\n {%- if 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '\\n\\n' }}\n {%- endif %}\n {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].content is string %}\n {{- messages[0].content }}\n {%- else %}\n {%- for content in messages[0].content %}\n {%- if 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set image_count = namespace(value=0) %}\n{%- set video_count = namespace(value=0) %}\n{%- for message in messages %}\n {%- if message.role == \"user\" %}\n {{- '<|im_start|>' + message.role + '\\n' }}\n {%- if message.content is string %}\n {{- message.content }}\n {%- else %}\n {%- for content in message.content %}\n {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}\n {%- set image_count.value = image_count.value + 1 %}\n {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}\n <|vision_start|><|image_pad|><|vision_end|>\n {%- elif content.type == 'video' or 'video' in content %}\n {%- set video_count.value = video_count.value + 1 %}\n {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}\n <|vision_start|><|video_pad|><|vision_end|>\n {%- elif 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role + '\\n' }}\n {%- if message.content is string %}\n {{- message.content }}\n {%- else %}\n {%- for content_item in message.content %}\n {%- if 'text' in content_item %}\n {{- content_item.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and message.content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {%- if message.content is string %}\n {{- message.content }}\n {%- else %}\n {%- for content in message.content %}\n {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}\n {%- set image_count.value = image_count.value + 1 %}\n {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}\n <|vision_start|><|image_pad|><|vision_end|>\n {%- elif content.type == 'video' or 'video' in content %}\n {%- set video_count.value = video_count.value + 1 %}\n {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}\n <|vision_start|><|video_pad|><|vision_end|>\n {%- elif 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
|
| 238 |
+
"clean_up_tokenization_spaces": false,
|
| 239 |
+
"eos_token": "<|im_end|>",
|
| 240 |
+
"errors": "replace",
|
| 241 |
+
"model_max_length": 262144,
|
| 242 |
+
"pad_token": "<|endoftext|>",
|
| 243 |
+
"split_special_tokens": false,
|
| 244 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 245 |
+
"unk_token": null
|
| 246 |
+
}
|
text_encoder/video_preprocessor_config.json
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"size": {
|
| 3 |
+
"longest_edge": 25165824,
|
| 4 |
+
"shortest_edge": 4096
|
| 5 |
+
},
|
| 6 |
+
"patch_size": 16,
|
| 7 |
+
"temporal_patch_size": 2,
|
| 8 |
+
"merge_size": 2,
|
| 9 |
+
"image_mean": [
|
| 10 |
+
0.5,
|
| 11 |
+
0.5,
|
| 12 |
+
0.5
|
| 13 |
+
],
|
| 14 |
+
"image_std": [
|
| 15 |
+
0.5,
|
| 16 |
+
0.5,
|
| 17 |
+
0.5
|
| 18 |
+
],
|
| 19 |
+
"processor_class": "Qwen3VLProcessor",
|
| 20 |
+
"video_processor_type": "Qwen3VLVideoProcessor"
|
| 21 |
+
}
|
text_encoder/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer/tokenizer_config.json
ADDED
|
@@ -0,0 +1,246 @@
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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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|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_prefix_space": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"151643": {
|
| 6 |
+
"content": "<|endoftext|>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"151644": {
|
| 14 |
+
"content": "<|im_start|>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"151645": {
|
| 22 |
+
"content": "<|im_end|>",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
+
},
|
| 29 |
+
"151646": {
|
| 30 |
+
"content": "<|object_ref_start|>",
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"normalized": false,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false,
|
| 35 |
+
"special": true
|
| 36 |
+
},
|
| 37 |
+
"151647": {
|
| 38 |
+
"content": "<|object_ref_end|>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false,
|
| 43 |
+
"special": true
|
| 44 |
+
},
|
| 45 |
+
"151648": {
|
| 46 |
+
"content": "<|box_start|>",
|
| 47 |
+
"lstrip": false,
|
| 48 |
+
"normalized": false,
|
| 49 |
+
"rstrip": false,
|
| 50 |
+
"single_word": false,
|
| 51 |
+
"special": true
|
| 52 |
+
},
|
| 53 |
+
"151649": {
|
| 54 |
+
"content": "<|box_end|>",
|
| 55 |
+
"lstrip": false,
|
| 56 |
+
"normalized": false,
|
| 57 |
+
"rstrip": false,
|
| 58 |
+
"single_word": false,
|
| 59 |
+
"special": true
|
| 60 |
+
},
|
| 61 |
+
"151650": {
|
| 62 |
+
"content": "<|quad_start|>",
|
| 63 |
+
"lstrip": false,
|
| 64 |
+
"normalized": false,
|
| 65 |
+
"rstrip": false,
|
| 66 |
+
"single_word": false,
|
| 67 |
+
"special": true
|
| 68 |
+
},
|
| 69 |
+
"151651": {
|
| 70 |
+
"content": "<|quad_end|>",
|
| 71 |
+
"lstrip": false,
|
| 72 |
+
"normalized": false,
|
| 73 |
+
"rstrip": false,
|
| 74 |
+
"single_word": false,
|
| 75 |
+
"special": true
|
| 76 |
+
},
|
| 77 |
+
"151652": {
|
| 78 |
+
"content": "<|vision_start|>",
|
| 79 |
+
"lstrip": false,
|
| 80 |
+
"normalized": false,
|
| 81 |
+
"rstrip": false,
|
| 82 |
+
"single_word": false,
|
| 83 |
+
"special": true
|
| 84 |
+
},
|
| 85 |
+
"151653": {
|
| 86 |
+
"content": "<|vision_end|>",
|
| 87 |
+
"lstrip": false,
|
| 88 |
+
"normalized": false,
|
| 89 |
+
"rstrip": false,
|
| 90 |
+
"single_word": false,
|
| 91 |
+
"special": true
|
| 92 |
+
},
|
| 93 |
+
"151654": {
|
| 94 |
+
"content": "<|vision_pad|>",
|
| 95 |
+
"lstrip": false,
|
| 96 |
+
"normalized": false,
|
| 97 |
+
"rstrip": false,
|
| 98 |
+
"single_word": false,
|
| 99 |
+
"special": true
|
| 100 |
+
},
|
| 101 |
+
"151655": {
|
| 102 |
+
"content": "<|image_pad|>",
|
| 103 |
+
"lstrip": false,
|
| 104 |
+
"normalized": false,
|
| 105 |
+
"rstrip": false,
|
| 106 |
+
"single_word": false,
|
| 107 |
+
"special": true
|
| 108 |
+
},
|
| 109 |
+
"151656": {
|
| 110 |
+
"content": "<|video_pad|>",
|
| 111 |
+
"lstrip": false,
|
| 112 |
+
"normalized": false,
|
| 113 |
+
"rstrip": false,
|
| 114 |
+
"single_word": false,
|
| 115 |
+
"special": true
|
| 116 |
+
},
|
| 117 |
+
"151657": {
|
| 118 |
+
"content": "<tool_call>",
|
| 119 |
+
"lstrip": false,
|
| 120 |
+
"normalized": false,
|
| 121 |
+
"rstrip": false,
|
| 122 |
+
"single_word": false,
|
| 123 |
+
"special": false
|
| 124 |
+
},
|
| 125 |
+
"151658": {
|
| 126 |
+
"content": "</tool_call>",
|
| 127 |
+
"lstrip": false,
|
| 128 |
+
"normalized": false,
|
| 129 |
+
"rstrip": false,
|
| 130 |
+
"single_word": false,
|
| 131 |
+
"special": false
|
| 132 |
+
},
|
| 133 |
+
"151659": {
|
| 134 |
+
"content": "<|fim_prefix|>",
|
| 135 |
+
"lstrip": false,
|
| 136 |
+
"normalized": false,
|
| 137 |
+
"rstrip": false,
|
| 138 |
+
"single_word": false,
|
| 139 |
+
"special": false
|
| 140 |
+
},
|
| 141 |
+
"151660": {
|
| 142 |
+
"content": "<|fim_middle|>",
|
| 143 |
+
"lstrip": false,
|
| 144 |
+
"normalized": false,
|
| 145 |
+
"rstrip": false,
|
| 146 |
+
"single_word": false,
|
| 147 |
+
"special": false
|
| 148 |
+
},
|
| 149 |
+
"151661": {
|
| 150 |
+
"content": "<|fim_suffix|>",
|
| 151 |
+
"lstrip": false,
|
| 152 |
+
"normalized": false,
|
| 153 |
+
"rstrip": false,
|
| 154 |
+
"single_word": false,
|
| 155 |
+
"special": false
|
| 156 |
+
},
|
| 157 |
+
"151662": {
|
| 158 |
+
"content": "<|fim_pad|>",
|
| 159 |
+
"lstrip": false,
|
| 160 |
+
"normalized": false,
|
| 161 |
+
"rstrip": false,
|
| 162 |
+
"single_word": false,
|
| 163 |
+
"special": false
|
| 164 |
+
},
|
| 165 |
+
"151663": {
|
| 166 |
+
"content": "<|repo_name|>",
|
| 167 |
+
"lstrip": false,
|
| 168 |
+
"normalized": false,
|
| 169 |
+
"rstrip": false,
|
| 170 |
+
"single_word": false,
|
| 171 |
+
"special": false
|
| 172 |
+
},
|
| 173 |
+
"151664": {
|
| 174 |
+
"content": "<|file_sep|>",
|
| 175 |
+
"lstrip": false,
|
| 176 |
+
"normalized": false,
|
| 177 |
+
"rstrip": false,
|
| 178 |
+
"single_word": false,
|
| 179 |
+
"special": false
|
| 180 |
+
},
|
| 181 |
+
"151665": {
|
| 182 |
+
"content": "<tool_response>",
|
| 183 |
+
"lstrip": false,
|
| 184 |
+
"normalized": false,
|
| 185 |
+
"rstrip": false,
|
| 186 |
+
"single_word": false,
|
| 187 |
+
"special": false
|
| 188 |
+
},
|
| 189 |
+
"151666": {
|
| 190 |
+
"content": "</tool_response>",
|
| 191 |
+
"lstrip": false,
|
| 192 |
+
"normalized": false,
|
| 193 |
+
"rstrip": false,
|
| 194 |
+
"single_word": false,
|
| 195 |
+
"special": false
|
| 196 |
+
},
|
| 197 |
+
"151667": {
|
| 198 |
+
"content": "<think>",
|
| 199 |
+
"lstrip": false,
|
| 200 |
+
"normalized": false,
|
| 201 |
+
"rstrip": false,
|
| 202 |
+
"single_word": false,
|
| 203 |
+
"special": false
|
| 204 |
+
},
|
| 205 |
+
"151668": {
|
| 206 |
+
"content": "</think>",
|
| 207 |
+
"lstrip": false,
|
| 208 |
+
"normalized": false,
|
| 209 |
+
"rstrip": false,
|
| 210 |
+
"single_word": false,
|
| 211 |
+
"special": false
|
| 212 |
+
}
|
| 213 |
+
},
|
| 214 |
+
"additional_special_tokens": [
|
| 215 |
+
"<|im_start|>",
|
| 216 |
+
"<|im_end|>",
|
| 217 |
+
"<|object_ref_start|>",
|
| 218 |
+
"<|object_ref_end|>",
|
| 219 |
+
"<|box_start|>",
|
| 220 |
+
"<|box_end|>",
|
| 221 |
+
"<|quad_start|>",
|
| 222 |
+
"<|quad_end|>",
|
| 223 |
+
"<|vision_start|>",
|
| 224 |
+
"<|vision_end|>",
|
| 225 |
+
"<|vision_pad|>",
|
| 226 |
+
"<|image_pad|>",
|
| 227 |
+
"<|video_pad|>",
|
| 228 |
+
"<d>",
|
| 229 |
+
"</d>",
|
| 230 |
+
"<|cutoff|>",
|
| 231 |
+
"<|lyrics_start|>",
|
| 232 |
+
"<|lyrics_end|>",
|
| 233 |
+
"<|caption_start|>",
|
| 234 |
+
"<|caption_end|>"
|
| 235 |
+
],
|
| 236 |
+
"bos_token": null,
|
| 237 |
+
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {%- if messages[0].content is string %}\n {{- messages[0].content }}\n {%- else %}\n {%- for content in messages[0].content %}\n {%- if 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '\\n\\n' }}\n {%- endif %}\n {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].content is string %}\n {{- messages[0].content }}\n {%- else %}\n {%- for content in messages[0].content %}\n {%- if 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set image_count = namespace(value=0) %}\n{%- set video_count = namespace(value=0) %}\n{%- for message in messages %}\n {%- if message.role == \"user\" %}\n {{- '<|im_start|>' + message.role + '\\n' }}\n {%- if message.content is string %}\n {{- message.content }}\n {%- else %}\n {%- for content in message.content %}\n {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}\n {%- set image_count.value = image_count.value + 1 %}\n {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}\n <|vision_start|><|image_pad|><|vision_end|>\n {%- elif content.type == 'video' or 'video' in content %}\n {%- set video_count.value = video_count.value + 1 %}\n {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}\n <|vision_start|><|video_pad|><|vision_end|>\n {%- elif 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role + '\\n' }}\n {%- if message.content is string %}\n {{- message.content }}\n {%- else %}\n {%- for content_item in message.content %}\n {%- if 'text' in content_item %}\n {{- content_item.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and message.content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {%- if message.content is string %}\n {{- message.content }}\n {%- else %}\n {%- for content in message.content %}\n {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}\n {%- set image_count.value = image_count.value + 1 %}\n {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}\n <|vision_start|><|image_pad|><|vision_end|>\n {%- elif content.type == 'video' or 'video' in content %}\n {%- set video_count.value = video_count.value + 1 %}\n {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}\n <|vision_start|><|video_pad|><|vision_end|>\n {%- elif 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
|
| 238 |
+
"clean_up_tokenization_spaces": false,
|
| 239 |
+
"eos_token": "<|im_end|>",
|
| 240 |
+
"errors": "replace",
|
| 241 |
+
"model_max_length": 262144,
|
| 242 |
+
"pad_token": "<|endoftext|>",
|
| 243 |
+
"split_special_tokens": false,
|
| 244 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 245 |
+
"unk_token": null
|
| 246 |
+
}
|
tokenizer/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
transformer/config.json
ADDED
|
@@ -0,0 +1,75 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "MiniMaxH3ImagePrunedTransformer2DModel",
|
| 3 |
+
"_diffusers_version": "0.42.0.dev0",
|
| 4 |
+
"num_attention_heads": 56,
|
| 5 |
+
"attention_head_dim": 128,
|
| 6 |
+
"hidden_size": 5376,
|
| 7 |
+
"num_layers": 50,
|
| 8 |
+
"num_refiner_layers": 2,
|
| 9 |
+
"ffn_dim": 14336,
|
| 10 |
+
"in_channels": 24,
|
| 11 |
+
"patch_size": [
|
| 12 |
+
1,
|
| 13 |
+
2,
|
| 14 |
+
2
|
| 15 |
+
],
|
| 16 |
+
"text_dim": 5120,
|
| 17 |
+
"freq_dim": 256,
|
| 18 |
+
"time_embed_hidden_dim": 5376,
|
| 19 |
+
"time_embed_dim": 2688,
|
| 20 |
+
"rope_freq_dim": 16,
|
| 21 |
+
"rope_theta": 10000.0,
|
| 22 |
+
"norm_eps": 1e-05,
|
| 23 |
+
"qk_norm_eps": 1e-05,
|
| 24 |
+
"final_norm_eps": 1e-05,
|
| 25 |
+
"num_pdd_heads": 6,
|
| 26 |
+
"adaln_plans": [
|
| 27 |
+
[
|
| 28 |
+
0.0
|
| 29 |
+
],
|
| 30 |
+
[
|
| 31 |
+
0.03247630596160889
|
| 32 |
+
],
|
| 33 |
+
[
|
| 34 |
+
0.11245149374008179
|
| 35 |
+
],
|
| 36 |
+
[
|
| 37 |
+
0.25
|
| 38 |
+
],
|
| 39 |
+
[
|
| 40 |
+
0.4672260880470276
|
| 41 |
+
],
|
| 42 |
+
[
|
| 43 |
+
0.7679911255836487
|
| 44 |
+
],
|
| 45 |
+
[
|
| 46 |
+
0.0,
|
| 47 |
+
0.9990000128746033
|
| 48 |
+
],
|
| 49 |
+
[
|
| 50 |
+
0.03247630596160889,
|
| 51 |
+
0.9990000128746033
|
| 52 |
+
],
|
| 53 |
+
[
|
| 54 |
+
0.11245149374008179,
|
| 55 |
+
0.9990000128746033
|
| 56 |
+
],
|
| 57 |
+
[
|
| 58 |
+
0.25,
|
| 59 |
+
0.9990000128746033
|
| 60 |
+
],
|
| 61 |
+
[
|
| 62 |
+
0.4672260880470276,
|
| 63 |
+
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|
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