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[SOURCE: https://huggingface.co/Raziel1234/GAD-1-77.1M-Instruct] \| [TOKENS: 204]
Raziel1234 / GAD-1-77.1M-Instruct like 0 GAD-1 Instruct Overview GAD-1 Instruct is an instruction-tuned version of the original GAD-1 model. This model is designed to follow natural language instructions more effectively, making it suitable for tasks like text generation, email drafting, summarization, and other instruction-based applications. Unlike the original GAD-1, which focused on general text prediction, GAD-1 Instruct has been fine-tuned specifically to understand and respond to prompts in a more aligned and human-readable manner. Features Usage The model can be used via your preferred API or inference endpoint. Example usage for generating text: Files info Model tree for Raziel1234/GAD-1-77.1M-Instruct Base model Collection including Raziel1234/GAD-1-77.1M-Instruct GAD Collection GAD language models family • 4 items • Updated 26 days ago • 1
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[SOURCE: https://huggingface.co/Raziel1234/GAD-1-77.1M-Email-Writer] \| [TOKENS: 320]
Raziel1234 / GAD-1-77.1M-Email-Writer like 0 GAD-1 \| EmailWriter ✉️ Transform Intent into Impact. GAD-1 EmailWriter is the first specialized distribution of the GAD-1 Core. It is a precision-engineered language model designed for one purpose: crafting professional correspondence that gets results. Gone are the days of generic, robotic, and overly long AI emails. GAD-1 EmailWriter delivers concise, human-centric, and goal-oriented writing in seconds. ✨ Beyond Text Generation Most models just predict the next word. GAD-1 EmailWriter understands the mission. By leveraging the native agentic intelligence of the GAD-1 foundation, this version is tuned to prioritize the "Executive Voice"—professional, direct, and authoritative. 🛠️ Performance Capabilities 🚀 Getting Started Use this endpoint: https://rnevo2016--gad-emailwriter-api-fastapi-app.modal.run/generate Infrence Example: Files info Model tree for Raziel1234/GAD-1-77.1M-Email-Writer Base model Dataset used to train Raziel1234/GAD-1-77.1M-Email-Writer tatsu-lab/alpaca Viewer • Updated May 22, 2023 • 52k • 48.9k • 915 Collection including Raziel1234/GAD-1-77.1M-Email-Writer GAD Collection GAD language models family • 4 items • Updated 26 days ago • 1
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[SOURCE: https://huggingface.co/Raziel1234/models] \| [TOKENS: 311]
Raziel AI Learning Raziel1234 's models 10 Sort: Recently updated Raziel1234/GAD-2-177M-SFT-Preview Text Generation • 0.2B • Updated about 15 hours ago • 35 Raziel1234/Duchifat-1-Base Text Generation • 0.2B • Updated 14 days ago • 165 Raziel1234/OSTLM Translation • 0.2B • Updated 14 days ago • 274 Raziel1234/GAD-2 Text Generation • 0.2B • Updated 24 days ago • 1.11k Raziel1234/GAD-1 Text Generation • 77.1M • Updated 27 days ago • 31 Raziel1234/LamoFast-2.0-GGUF Text Generation • 0.5B • Updated 28 days ago • 153 Raziel1234/LamoFast-1.0-GGUF Text Generation • 0.5B • Updated 28 days ago • 326 Raziel1234/LamoFast-1.0 Text Generation • 0.5B • Updated 29 days ago • 75 Raziel1234/GAD-1-77.1M-Instruct Text Generation • 77.1M • Updated 30 days ago • 22 Raziel1234/GAD-1-77.1M-Email-Writer Text Generation • 77.1M • Updated Jan 18 • 1
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[SOURCE: https://huggingface.co/Raziel1234/LamoFast-1.0-GGUF] \| [TOKENS: 238]
Raziel1234 / LamoFast-1.0-GGUF like 0 🧠 LamoFast-1.0 (GGUF) This repository contains the GGUF release of LamoFast-1.0, a lightweight and fast open-source language model based on Qwen2.5-0.5B, with support for English and Hebrew. The GGUF format is optimized for efficient local inference, making this model ideal for tools such as llama.cpp, Ollama, and LM Studio. ✨ Key Features 📦 Available Files The GGUF release may one file: Choose a quantization based on your hardware: 🚀 Usage Examples Create a Modelfile: Then run: 🧪 Prompt Format The model follows a chat-style prompt format compatible with Qwen-style templates. Example: ⚠️ Notes 📜 License Licensed under the Apache License 2.0. You are free to use, modify, and distribute this model, including for commercial purposes. 🙌 Credits If you use LamoFast-1.0, a mention or ⭐ on Hugging Face is always appreciated! Chat template Files info
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[SOURCE: https://huggingface.co/Raziel1234/GAD-1-77.1M-Instruct] \| [TOKENS: 204]
Raziel1234 / GAD-1-77.1M-Instruct like 0 GAD-1 Instruct Overview GAD-1 Instruct is an instruction-tuned version of the original GAD-1 model. This model is designed to follow natural language instructions more effectively, making it suitable for tasks like text generation, email drafting, summarization, and other instruction-based applications. Unlike the original GAD-1, which focused on general text prediction, GAD-1 Instruct has been fine-tuned specifically to understand and respond to prompts in a more aligned and human-readable manner. Features Usage The model can be used via your preferred API or inference endpoint. Example usage for generating text: Files info Model tree for Raziel1234/GAD-1-77.1M-Instruct Base model Collection including Raziel1234/GAD-1-77.1M-Instruct GAD Collection GAD language models family • 4 items • Updated 26 days ago • 1
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[SOURCE: https://huggingface.co/Raziel1234/LamoFast-2.0-GGUF] \| [TOKENS: 190]
Raziel1234 / LamoFast-2.0-GGUF like 0 🚀 LamoFast-2-Supernova LamoFast-2-Supernova is a high-performance, specialized LLM based on the Qwen2.5-0.5B architecture. Optimized by Raziel AI Learning, this model is fine-tuned for high-speed inference and domain-specific expertise in space exploration, astrophysics, and advanced robotics. Designed to be "Supernova Fast," it provides concise, intelligent, and context-aware responses, making it the perfect choice for edge devices, mobile applications, and real-time robotic interfaces. 🌌✨ 🛰️ Key Features 🧠 Capabilities LamoFast-2-Supernova excels at: 🛠️ Technical Specifications 💻 Quick Start (Python) Chat template We're not able to determine the quantization variants.
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[SOURCE: https://huggingface.co/Raziel1234/GAD-2] \| [TOKENS: 438]
Raziel1234 / GAD-2 like 0 GAD-2: Generative Autogressive Decoder (Version 2) GAD-2 (177M Parameters) is a high-efficiency, hybrid-architecture language model designed for rapid context acquisition and agentic reasoning. It represents a significant evolution in the GAD series, moving from specialized technical modeling (GAD-1) to broad-spectrum linguistic understanding. 🚀 The GAD-2 Leap: Comparison with GAD-1 While GAD-1 focused on niche scientific data (Astronomy) with a 77M parameter footprint, GAD-2 is built to be a general-purpose backbone with vastly improved stability and reasoning capabilities. 🧠 Architectural Innovation GAD-2 is not just a larger transformer; it introduces the Agentic Core—a hybrid system that mimics cognitive planning before token generation. Unlike static attention layers, GAD-2 uses parallel GRU-based Evolvers. This allows the model to "track" shifting intents across a sequence, preventing the "forgetting" typical of small-scale transformers. A learnable, persistent memory bank that updates dynamically during training. This module acts as a global anchor, allowing the model to maintain coherence across its entire 1024 context window. By implementing Rotary Positional Embeddings (RoPE) and SwiGLU activation, GAD-2 achieves a level of syntactic precision usually reserved for models in the 1B+ parameter range. 📊 Training Meta-Data 💻 Usage To use GAD-2, you must enable trust_remote_code=True as the model utilizes custom Agentic layers. Files info Model tree for Raziel1234/GAD-2 Dataset used to train Raziel1234/GAD-2 HuggingFaceFW/fineweb Viewer • Updated Jul 11, 2025 • 52.5B • 194k • 2.67k Space using Raziel1234/GAD-2 1 Collection including Raziel1234/GAD-2 GAD Collection GAD language models family • 4 items • Updated 26 days ago • 1
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[SOURCE: https://huggingface.co/Raziel1234/LamoFast-1.0] \| [TOKENS: 134]
Raziel1234 / LamoFast-1.0 like 0 🚀 LamoFast-Tiny-v1 (0.5B) LamoFast(Language model For astronmy)-Tiny is a lightweight, high-performance generative language model based on the Qwen2.5-0.5B architecture. It has been fine-tuned to act as a specialized assistant for Astronomy and Space Science, while maintaining impressive general conversational capabilities in both Hebrew and English. ✨ Key Highlights 📊 Technical Specifications 🚀 Quick Start (Python) Chat template Files info Model tree for Raziel1234/LamoFast-1.0
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[SOURCE: https://huggingface.co/Raziel1234/OSTLM] \| [TOKENS: 210]
Raziel1234 / OSTLM like 0 OSTLM-V1: English to Hebrew Translator 🚀 A Neural Machine Translation (NMT) model based on a custom Transformer (Encoder-Decoder) architecture, trained from scratch. This model is designed to translate English sentences into Hebrew using multilingual encoding and specialized layer configurations. 📝 Model Description OSTLM (Open Source Translation Language Model) demonstrates translation capabilities in a compact and efficient format. Unlike generic pre-trained models, this model was trained specifically on English-Hebrew pairs to capture the nuances of the language transition. 🚀 How to Use (Inference) The model performs best when output length is controlled via inference parameters. This prevents hallucinations and ensures the translation stops at the correct point. Files info Dataset used to train Raziel1234/OSTLM Helsinki-NLP/opus-100 Viewer • Updated Feb 28, 2024 • 55.1M • 19.6k • 221 Space using Raziel1234/OSTLM 1
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[SOURCE: https://huggingface.co/Raziel1234/Duchifat-1-Base] \| [TOKENS: 220]
Raziel1234 / Duchifat-1-Base like 0 🦜 Duchifat-1-Base (דוכיפת) 1. Overview Duchifat-1-Base is a state-of-the-art, small-scale Hebrew Language Model (LLM) built on a custom Llama-based architecture. With 132 Million parameters, it is designed for efficiency, speed, and deep understanding of Hebrew syntax and urban semantics. The model was trained from scratch to demonstrate that high-quality Hebrew text generation is possible even with limited parameter counts, provided the architecture is optimized for the language's unique morphological structure. 2. Model Specifications 3. Key Capabilities 4. Training Data The model was pre-trained on the Hebrew Space Restoration Corpus by Dicta-IL, focusing on: 5. Usage (Python) Files info Dataset used to train Raziel1234/Duchifat-1-Base dicta-il/hebrew-space-restoration-corpus Viewer • Updated Apr 18, 2025 • 5.96k • 10
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[SOURCE: https://huggingface.co/terms-of-service] \| [TOKENS: 5619]
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We may subcontract all or part of our obligations under these Terms at our own discretion, and without notifying you. Nothing to worry, since we will bear the same degree of responsibility for acts and omissions of the subcontractors acting on our behalf in the performance of their obligations under these Terms as they would bear if such acts and omissions were performed by us directly. Changes in law or regulation. If there is any change in law or regulation that would materially restrict or prohibit our ability to provide the Services pursuant to these Terms, we may suspend or cancel the Services, or otherwise amend these Terms. Export Control and Sanctions. Any Service provided pursuant to these Terms may be subject to export control and sanctions laws of the U.S. and/or other applicable jurisdictions. Therefore, you may only access and use the Service in compliance with U.S. and other applicable export control and sanctions laws and regulations. Headings. Headings used throughout these Terms are used for convenience and reference only, and have no legal effect, nor shall affect the interpretation of these Terms. Entire Agreement. These Terms, together with all of the terms, policies and notices available at https://huggingface.co, or any other binding documents we provide, or agreements provided or executed by us, constitute the entire agreement between us, and supersedes all previous negotiations, proposals, commitments, writings, oral statement and understanding of any nature whatsoever. Any standard form purchase order or similar document you provided us or reference in any payment is expressly rejected if it differs from, or adds to, these Terms. Order of Precedence. In the event of a conflict between provisions arising out of any documents included in the Agreement, the order of precedence will be as follows, unless expressly stated otherwise: (i) the applicable Order Form if any; (ii) the applicable Scope of Work if any; (iii) any other binding document signed between us; (iv) the Supplemental Terms; (v) these Terms of Service; (vi) all other documents or policies incorporated by reference in the Agreement. Severability. If any provision of these Terms, by action of law or for any other reason, is held to be prohibited, invalid, void or unenforceable in any relevant jurisdiction, such provision will be stricken, and the remaining provisions of these Terms will remain in full force and effect. No Waiver. The failure, in one or more instances, to perform any of the terms or conditions of these Terms, or to exercise any right hereunder, shall not be construed as a waiver of the future performance of any such terms or conditions, or the future exercise of such right, and the obligations of under these Terms with respect to such performance shall continue in full force and effect. Survival. The termination or expiration of these Terms shall not relieve from any obligation (i) that may have arisen prior to such termination or expiration, or (ii) that needs to survive termination or expiration in order to give full effect to its meaning, including without limitation payment obligations, confidentiality obligations, limitation of liability, warranty disclaimers, indemnities, governing law and dispute resolution, miscellaneous, and definitions. Execution. Each Party represents and warrants that (i) it possesses the legal right and capacity to enter into, execute, deliver and perform the Agreement; (ii) the individual signing the Agreement on the Party’s behalf has full power and authority to bind the Party to the terms and conditions set out in this Agreement; and (iii) the Agreement is a valid and binding obligation of that Party. You agree that an electronic signature shall have the same force and effect as manual signatures. 🔗 Quick links Supplemental Terms Privacy Policy
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[SOURCE: https://huggingface.co/privacy] \| [TOKENS: 2321]
Hugging Face Privacy Policy 🗓 Effective Date: March 28, 2023 We have implemented this Privacy Policy because your privacy is important to us. This Privacy Policy (the “Policy”) describes the type of information that Hugging Face, Inc. (the “Company”) gathers from users of the Hugging Face services (the “Services”), and how the Company uses that information. The Policy is part of the Company Terms of Use. The Policy applies to all users of the Services (“Users”). The Company occasionally collects Personal Information from Users. “Personal Information” means any information that can, alone or associated with other information, be used to identify an individual, for instance by reference of a name, a username, an email address, an IP address, a photograph or others. By using the Services, you consent to the terms of the Policy and to our processing of Personal Information in the manner and for the purposes set forth herein. If you do not agree with the Policy, please do not use the Services. The Company reserves the right, at its sole discretion, to change the Policy at any time, which change will be effective 10 days following posting the revision to the Policy on the Hugging Face website (the “Website”). Your continued use of the Services 10 days following such posting means you accept those changes. The Company collects the following information, some of which might be Personal Information. The Company collects information directly provided by Users as part of using the Services, such as: At any time during your use of the Services, you may decide to share some information or content publicly or privately. If you decide to share your information or content publicly, and if you decide to include Personal Information, you understand that anyone may view this information. If you decide to keep your information private and control the access to it, you understand that only the users that you authorize will view this information. The Company also reserves the right to access this information with your consent, or without your consent only for the purposes of pursuing legitimate interests such as maintaining security on its Services or complying with any legal or regulatory obligations. We may collect Information from third parties that help us deliver the Services or process information. The Company automatically records information from your use of the Services such as: We use cookies only for the purposes of delivering, updating, monitoring, improving the Services, and maintaining security on our Services by detecting, preventing and responding to any type of threats or incidents. We may collect Information through those cookies. If you do not wish to accept these cookies and you decide to disable them, you will not be able to access and use the Services. On September 27, 2013, California enacted A.B. 370, amending the California Online Privacy Protection Act to require website operators to disclose how they respond to "Do Not Track Signals"; and whether third parties collect personally identifiable information about users when they use online services. The Company honors "do not track" signals and does not track, use cookies, or use advertising when a “do not track” mechanism is in place. The Company does not authorize the collection of personally identifiable information from our users for third party use through advertising technologies without separate member consent. California Civil Code Section 1798.83 also permits customers who are California residents to request certain information regarding Our disclosure of Personal Information to third parties for direct marketing purposes. To make such a request, please send an email to privacy@huggingface.co. Please note that the Company is only required to respond to one request per customer each year. The Company may use information from Users for the following purposes: Pursuant to applicable data protection laws, and especially the European Union’s General Data Protection Regulation (EU) 2016/679 (the “GDPR”), Hugging Face remains under an obligation to notify the Users about the legal basis on which their Personal Information is processed. Consent By creating an account on the Website and by using the Services, you consent to disclose information, some of which might be personal, and to our processing of such Personal Information in the manner and for the purposes set forth in this Policy. Agreement If you or your organization enter into an agreement with Hugging Face, either by simply using the Services and abiding by the terms and conditions available on the Website, or by executing another separate agreement, you also consent to our processing of your Personal Information as pursuant the obligations of such an agreement. Legitimate Interests Apart from the above cases, Hugging Face will use the information collected from you to pursue legitimate interests such as legal or regulatory compliance, security control, business operations, scientific research, or any other interest reasonably held as legitimate. The Company will not sell, rent or lease your Personal Information except as provided for by this Policy. The Company may also share other information as provided by this Policy. The Company may share User Information and Personal information collected by the Services with businesses that are legally part of the same group as the Company, or that become part of that group in the event of a change of control, merger, acquisition or sale (“Affiliates”). The Company may occasionally hire other companies to provide limited services on its behalf, such as providing customer support, hosting websites, processing transactions, or performing statistical analysis of its Services. Those companies will be permitted to obtain only the Personal Information they need to deliver the relevant service. They will be required to maintain the confidentiality of the information and are prohibited from using it for any other purpose. Please refer to the list of Third Party Service Providers below. At any time during your use of the Services, or upon explicit request from us, you may consent to the disclosure of your information. In the event of any fraud, security threats or incidents, we reserve the right to disclose your information without your consent for the purposes of ensuring and maintaining security on our Website and for all of our Users, and detecting, preventing, investigating or otherwise addressing fraud or security issues. Similarly, we reserve the right to disclose your information without your consent for the purpose of protecting against harm to the rights, property or safety of the Company, our Users, yourself or the public. We also reserve the right to disclose your information without your consent to comply with any applicable law, regulation, legal process or governmental requests. The Company may use Anonymous Information (as defined below) or disclose it to third party service providers, to provide and improve the Services and other products or technologies of the Company. The Company may disclose Anonymous Information (with or without compensation) to third parties, including advertisers and partners, for purposes including, but not limited to, targeting advertisements. "Anonymous Information" means information which does not enable identification of an individual User, such as aggregated information about use of the Services. You may be entitled under data protection laws to access and review Personal Information the Company holds related to you. You may access, modify or delete the Information we collected by editing your profile or controlling the content that you share at any time. If you have any other request, all such communications regarding access to Personal Information should be addressed to: privacy@huggingface.co. Such inquiries should be clearly marked as data protection queries and you should indicate if the request is time sensitive. We retain your Information for as long as necessary to deliver the Services, to comply with any applicable legal requirements, to maintain security and prevent incidents and, in general, to pursue our legitimate interests. You may decide to cancel your account and your content at any time by editing your profile. If you wish to request the erasure of all of your Personal Information that we process, you may do so by sending a written request to privacy@huggingface.co. The security of your Personal Information is important to us. The Company follows generally accepted industry standards, including the use of appropriate administrative, physical and technical safeguards, to protect Personal Information. However, no method of transmission over the Internet, or method of electronic storage, is fully secure. Therefore, while the Company strives to use commercially acceptable means to protect Personal Information, the Company cannot guarantee its absolute security or confidentiality. If you have any questions about security, you can contact the Company at privacy@huggingface.co. In the event of an incident affecting your Personal Information, we will act promptly acceptable means to identify and address the incident, and to notify you. Please be aware that certain Personal Information and other information provided by you in connection with your use of the Services may be stored on your device (even if that Information is not collected by the Company). You are solely responsible for maintaining the security of your device from unauthorized access. Similarly, you also remain responsible for maintaining the confidentiality of your password or any other information that should reasonably be held confidential. The Company and its servers are located in the United States. Personal Information collected by the Services may be stored and processed in the United States or any other country in which the Company or its affiliates, subsidiaries or agents maintain facilities. By using the Services, you consent to any such transfer of information outside of your country. The Company may transfer your Personal Information to affiliated companies for the purpose of storing or processing such information on its behalf. Such information may be transferred to other countries around the world. The Company requires that these parties agree to process such information in compliance with the Policy. In particular, if you provide Personal Information, it may be transferred to and processed on computers in the U.S. and other countries. We strive to take appropriate safeguards to ensure that your Personal Information will remain protected in a manner consistent with standard applicable data protection laws. If you have any other question, please contact the Company at: privacy@huggingface.co. The Services are neither directed to nor structured to attract children under the age of 13 years. Accordingly, the Company does not intend to collect Personal Information from anyone it knows to be under 13 years of age. The Company will direct potential users under 13 years of age not to use the Services. If the Company learns that Personal Information of persons less than 13 years of age has been collected without verifiable parental consent, the Company will take the appropriate steps to delete this information. To make such a request, please contact the Company at: privacy@huggingface.co. The Company may collect your email address in order to send information and respond to inquiries and/or other requests or questions. The Company does not use false or misleading subjects or email addresses. The Company reasonably identifies advertisements and includes in its communications the physical address of its business location. The Company honors opt-out/unsubscribe requests. Users may follow the instructions at the bottom of an email from the Company in order to unsubscribe from correspondence. If you have questions about this Policy, please contact privacy@huggingface.co. The main establishment in the European Union is Hugging Face, SAS, a French société par actions simplifiée à associé unique registered in the Paris Trade and Companies Register under the number 822 168 043, and whose headquarters are located on 9 rue des Colonnes, 75002 Paris, France. The designation of this main establishment in the European Union gives full authority to the French Data Protection Agency, la Commission Nationale de l'Informatique et des Libertés (CNIL) per the General Data Protection Regulation (GDPR). We may share your information with Third-Party Service Providers, and when we do, we ensure that they access your information in compliance with applicable data protection laws. The following list respects the format Subprocessor \| Description of Subprocessing \| Location of Subprocessing.
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[SOURCE: https://huggingface.co/Raziel1234/datasets] \| [TOKENS: 244]
Raziel AI Learning Raziel1234 's datasets 9 Sort: Recently updated Raziel1234/He-Dataset Viewer • Updated 14 days ago • 891k • 9 Raziel1234/WebText-4 Viewer • Updated Jan 16 • 602k • 19 • 1 Raziel1234/MiniWebText-4 Updated Nov 20, 2025 • 7 Raziel1234/WebBooks Viewer • Updated Sep 27, 2025 • 300k • 6 Raziel1234/WebText-1 Viewer • Updated Sep 24, 2025 • 10.8k • 11 Raziel1234/Minecraft-Webtext Viewer • Updated Sep 24, 2025 • 4.94k • 4 Raziel1234/WebText-3 Viewer • Updated Sep 19, 2025 • 66.1k • 24 Raziel1234/LiteGPT-DataSet Viewer • Updated Sep 4, 2025 • 50k • 10 Raziel1234/WebText-2 Viewer • Updated Sep 1, 2025 • 67.7k • 9
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[SOURCE: https://huggingface.co/datasets/Raziel1234/WebText-4] \| [TOKENS: 238]
Datasets: Raziel1234 / WebText-4 like 1 📦 Huge Multilingual Text Dataset Overview This repository contains a large-scale, multilingual dataset designed for training and evaluating advanced language models and AI agents. The dataset spans multiple domains, supports multiple languages, and is suitable for high-capacity models. 🔍 Key Characteristics Dataset Size: 1B < n < 10B tokens License: Apache License 2.0 (Apache-2.0) Task Category: Languages Supported: 🧠 Domains & Tags The dataset includes high-quality content across a wide range of fields: This diversity makes the dataset ideal for: 🎯 Intended Use 📜 License This dataset is released under the Apache License 2.0, allowing commercial use, modification, and distribution with proper attribution. ⚠️ Disclaimer The dataset may contain domain-specific information (e.g., medical, legal, financial) and is intended for research and development purposes only. It should not be used as a sole source for professional advice. 🙌 Acknowledgements Created and curated as a large-scale effort to support open, multilingual, and multi-domain AI research.
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[SOURCE: https://en.wikipedia.org/wiki/Portal:Current_events] \| [TOKENS: 143]
Portal:Current events Topics in the news Armed conflicts and attacks Arts and culture Disasters and accidents Health and environment International relations Law and crime Politics and elections Sports Armed conflicts and attacks Disasters and accidents Law and crime Politics and elections Sports Armed conflicts and attacks Disasters and accidents International relations Law and crime Politics and elections Science and technology Armed conflicts and attacks Business and economy Disasters and accidents International relations Law and crime Politics and elections Science and technology Armed conflicts and attacks Business and economy Disasters and accidents Law and crime Armed conflicts and attacks Arts and culture Disasters and accidents International relations Law and crime Politics and elections Sports Ongoing events Elections and referendums Sports Recent deaths Ongoing conflicts 2026 events and developments by topic
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[SOURCE: https://en.wikipedia.org/wiki/Wikipedia:About] \| [TOKENS: 435]
Wikipedia:About Wikipedia is a free online encyclopedia that anyone can edit, and millions already have. Wikipedia's purpose is to benefit readers by presenting information on all branches of knowledge. It consists of freely editable content, with articles that usually contain numerous links guiding readers to more information. Wikipedia is one of many Wikimedia projects hosted by the nonprofit Wikimedia Foundation. Written collaboratively by volunteers known as Wikipedians, Wikipedia articles can be edited by anyone with Internet access, except in limited cases in which editing is restricted to prevent disruption or vandalism. Since its creation on January 15, 2001, it has grown into the world's largest reference website, attracting over a billion visitors each month. Wikipedia is a multilingual project, with more than sixty-six million articles in more than 300 separate wikis for almost as many languages. This includes 7,140,455 articles in English, with 293,013 active contributors in the past month. Wikipedia's fundamental principles are summarized in its five pillars. While the Wikipedia community has developed many policies and guidelines, new editors do not need to be familiar with them before they start contributing. Anyone can edit Wikipedia's text, data, references, and images. The quality of content is more important than the expertise of who contributes it. Wikipedia's content must conform with its policies, including being verifiable by published reliable sources. Contributions based on personal opinions, beliefs, or personal experiences, unreviewed research, libellous material, and copyright violations are not allowed, and will not remain. Wikipedia's software makes it easy to reverse errors, and experienced editors watch and patrol bad edits. Wikipedia differs from printed references in important ways. Anyone can instantly improve it, add quality information, remove misinformation, and fix errors and vandalism. Since Wikipedia is continually updated, encyclopedic articles on major news events appear within minutes. For over 25 years, editors have volunteered their time and talents to create history's most comprehensive encyclopedia while providing references and other resources to researchers worldwide (see Researching with Wikipedia). In summary, since 2001 Wikipedia has tested the wisdom of the crowd, and has found that it succeeds.
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[SOURCE: https://edsiegelmd.com/opensource.html?utm_source=chatgpt.com] \| [TOKENS: 150]
Community Texts These books are books contributed by the community. Click here to contribute your book! For more information and how-to please see http://www.archive.org/about/faqs.php#Texts_and_Books Uploaders, please note: Archive.org supports metadata about items in just about any language so long as the characters are UTF8 encoded New PostCommunity Texts Forum RSS These books are books contributed by the community. Click here to contribute your book! For more information and how-to please see http://www.archive.org/about/faqs.php#Texts_and_Books Uploaders, please note: Archive.org supports metadata about items in just about any language so long as the characters are UTF8 encoded 169,899,152 356,824
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[SOURCE: https://edsiegelmd.com/texts.html?utm_source=chatgpt.com] \| [TOKENS: 1047]
eBooks and Texts The Internet Archive and Open Library offers over 6,000,000 fully accessible public domain eBooks. This includes a special modern collection of over 500,000 eBooks for users with print disabilities, and a very interesting curated, modern collection for the world at large. You can browse, read and borrow fascinating contemporary materials at OpenLibrary.org. Borrow a Book OpenLibrary is a free, digital lending library with millions of eBooks that can be read in a browser or downloaded for reading offline. Originally developed to support the Print Disabled community, OpenLibrary now contains public domain and contemporary eBooks. Get a free OpenLibrary card and borrow an eBook today! Get Something Digitized The Internet Archive also encourages libraries, content holders and the reading community at large, to have their printed materials non-destructively digitized and put online for the benefit of all. The Internet Archive has digitized over 2.1 million books and microforms. Both large and small collections of monographs, serials, archival materials, maps, diaries and photographs to name a few, can be digitized in over 33 global scanning centers found on 4 continents. For more information please visit http://archive.org/scanning. Alternatively, our portable Table Top Scanner can also be purchased and used on-site within libraries and archives. To read more about our TT Scribe, please visit www.archive.org/details/tabletopscribesystem. Since 2005, the Internet Archive has collaborated and built digital collections with over 1100 Library Institutions and other content providers. Partnerships include: Boston Public Library, the Library of Congress and the Lancaster County's Historical Society. These collections are digitized from various mediatypes including: microfilm and microfiche, journals and serial publications, and a wide variety of archival material. Significant contributions have come from partners in North America (American and Canadian Libraries), Europe and Asia, representing more than 184 languages. Contribute a Book The Internet Archive encourages our global community to contribute physical items, as well as uploading digital materials directly to the Internet Archive. If you have physical or digital items that you would like to add to the Internet Archive, please check out this link Create a new item using the uploader interface. Click here to apply the specific creative commons license Creative Commons license to communicate how the material can be used. For donation of physical books or items, please contact info@archive.org New PostText Archive Forum RSS The Internet Archive and Open Library offers over 6,000,000 fully accessible public domain eBooks. This includes a special modern collection of over 500,000 eBooks for users with print disabilities, and a very interesting curated, modern collection for the world at large. You can browse, read and borrow fascinating contemporary materials at OpenLibrary.org. Borrow a Book OpenLibrary is a free, digital lending library with millions of eBooks that can be read in a browser or downloaded for reading offline. Originally developed to support the Print Disabled community, OpenLibrary now contains public domain and contemporary eBooks. Get a free OpenLibrary card and borrow an eBook today! Get Something Digitized The Internet Archive also encourages libraries, content holders and the reading community at large, to have their printed materials non-destructively digitized and put online for the benefit of all. The Internet Archive has digitized over 2.1 million books and microforms. Both large and small collections of monographs, serials, archival materials, maps, diaries and photographs to name a few, can be digitized in over 33 global scanning centers found on 4 continents. For more information please visit http://archive.org/scanning. Alternatively, our portable Table Top Scanner can also be purchased and used on-site within libraries and archives. To read more about our TT Scribe, please visit www.archive.org/details/tabletopscribesystem. Since 2005, the Internet Archive has collaborated and built digital collections with over 1100 Library Institutions and other content providers. Partnerships include: Boston Public Library, the Library of Congress and the Lancaster County's Historical Society. These collections are digitized from various mediatypes including: microfilm and microfiche, journals and serial publications, and a wide variety of archival material. Significant contributions have come from partners in North America (American and Canadian Libraries), Europe and Asia, representing more than 184 languages. Contribute a Book The Internet Archive encourages our global community to contribute physical items, as well as uploading digital materials directly to the Internet Archive. If you have physical or digital items that you would like to add to the Internet Archive, please check out this link Create a new item using the uploader interface. Click here to apply the specific creative commons license Creative Commons license to communicate how the material can be used. For donation of physical books or items, please contact info@archive.org Free to read, download, print, and enjoy. Some have restrictions on bulk re-use and commercial use, please see the collection or the sponsor of a book. By providing near-unrestricted access to these texts, we hope to encourage widespread use of texts in new contexts by people who might not have used them before. 1,599,073,766 7,785,213
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[SOURCE: https://huggingface.co/huggingface] \| [TOKENS: 1623]
Hugging Face The AI community building the future. FineVision: Open Data Is All You Need SmolVLM: Redefining small and efficient multimodal models The Future of the Global Open-Source AI Ecosystem: From DeepSeek to AI+ 18 days ago • 45 Architectural Choices in China's Open-Source AI Ecosystem: Building Beyond DeepSeek 25 days ago • 45 One Year Since the “DeepSeek Moment” Jan 20 • 60 On the Shifting Global Compute Landscape Oct 29, 2025 • 61 Announcing Hugging Face Fundamentals: A New Learning Track on DataCamp Oct 16, 2025 • 23 Yay! Organizations can now publish blog Articles Jan 20, 2025 • 53 👋 Hi! We are on a mission to democratize good machine learning, one commit at a time. If that sounds like something you should be doing, why don't you join us! For press enquiries, you can ✉️ contact our team here. DistilBERT release Original DistilBERT model, checkpoints obtained from using teacher-student learning from the original BERT checkpoints. distilbert/distilbert-base-cased Fill-Mask • 65.8M • Updated May 6, 2024 • 141k • • 58 distilbert/distilbert-base-uncased Fill-Mask • 67M • Updated May 6, 2024 • 7.5M • • 834 distilbert/distilbert-base-multilingual-cased Fill-Mask • 0.1B • Updated May 6, 2024 • 1.09M • • 233 distilbert/distilbert-base-uncased-finetuned-sst-2-english Text Classification • 67M • Updated Dec 19, 2023 • 3.97M • • 879 distilbert/distilbert-base-cased Fill-Mask • 65.8M • Updated May 6, 2024 • 141k • • 58 distilbert/distilbert-base-uncased Fill-Mask • 67M • Updated May 6, 2024 • 7.5M • • 834 distilbert/distilbert-base-multilingual-cased Fill-Mask • 0.1B • Updated May 6, 2024 • 1.09M • • 233 distilbert/distilbert-base-uncased-finetuned-sst-2-english Text Classification • 67M • Updated Dec 19, 2023 • 3.97M • • 879 DistilBERT release Original DistilBERT model, checkpoints obtained from using teacher-student learning from the original BERT checkpoints. distilbert/distilbert-base-cased Fill-Mask • 65.8M • Updated May 6, 2024 • 141k • • 58 distilbert/distilbert-base-uncased Fill-Mask • 67M • Updated May 6, 2024 • 7.5M • • 834 distilbert/distilbert-base-multilingual-cased Fill-Mask • 0.1B • Updated May 6, 2024 • 1.09M • • 233 distilbert/distilbert-base-uncased-finetuned-sst-2-english Text Classification • 67M • Updated Dec 19, 2023 • 3.97M • • 879 distilbert/distilbert-base-cased Fill-Mask • 65.8M • Updated May 6, 2024 • 141k • • 58 distilbert/distilbert-base-uncased Fill-Mask • 67M • Updated May 6, 2024 • 7.5M • • 834 distilbert/distilbert-base-multilingual-cased Fill-Mask • 0.1B • Updated May 6, 2024 • 1.09M • • 233 distilbert/distilbert-base-uncased-finetuned-sst-2-english Text Classification • 67M • Updated Dec 19, 2023 • 3.97M • • 879 pinned Running 33 Enterprise Hub 🔒 Why you need it, how to get it huggingface Oct 10, 2025 Why you need it, how to get it pinned Running on CPU Upgrade 40 Hugging Face Fast 🏎 Test your internet bandwidth huggingface Jun 12, 2025 Test your internet bandwidth pinned Running 112 Number Tokenization Blog 📈 Explore how tokenization affects arithmetic in LLMs huggingface Dec 14, 2024 Explore how tokenization affects arithmetic in LLMs Running 16 Can LLMs Play the Game of Science? 📝 Explore LLM science benchmark scores huggingface about 19 hours ago Explore LLM science benchmark scores Running 656 AI Deadlines ⚡ View upcoming AI conference submission deadlines huggingface 22 days ago View upcoming AI conference submission deadlines Running on CPU Upgrade 49 OpenAPI 🦀 Hub API Documentation huggingface 29 days ago Hub API Documentation huggingface/documentation-images Updated 17 days ago • 10 huggingface/hugging-face-semi-analysis Updated Nov 28, 2025 • 1 huggingface/time-series-transformer-tourism-monthly Time Series Forecasting • 30.5k • Updated May 24, 2025 • 2.1k • 29 huggingface/timesfm-tourism-monthly 106k • Updated Mar 31, 2025 • 8 • 3 huggingface/CodeBERTa-language-id Text Classification • Updated Mar 29, 2024 • 283 • 67 huggingface/falcon-40b-gptq Text Generation • 7B • Updated Jun 14, 2023 • 24 • 14 huggingface/autoformer-tourism-monthly Updated May 24, 2023 • 972 • 10 huggingface/distilbert-base-uncased-finetuned-mnli Text Classification • 67M • Updated Mar 22, 2023 • 101 • 2 huggingface/informer-tourism-monthly Updated Feb 24, 2023 • 1.23k • 8 huggingface/the-no-branch-repo Text-to-Image • Updated Feb 10, 2023 • 9 • 6 huggingface/diffusers-metadata Viewer • Updated about 5 hours ago • 92 • 1.29k • 23 huggingface/DEH-image-scan-data Viewer • Updated about 10 hours ago • 4 • 5.33k • 9 huggingface/documentation-images Viewer • Updated 1 day ago • 59 • 1.9M • 109 huggingface/transformers-metadata Viewer • Updated 1 day ago • 2.03k • 1.25k • 36 huggingface/cookbook-images Viewer • Updated Jan 9 • 1 • 11.7k • 7 huggingface/CADS-dataset Viewer • Updated Dec 17, 2025 • 12.4k • 2.16k huggingface/brand-assets Viewer • Updated Oct 23, 2025 • 3 • 128k • 8 huggingface/policy-docs Viewer • Updated Sep 9, 2025 • 28 • 3.74k • 14 huggingface/badges Viewer • Updated Jul 17, 2025 • 1 • 206k • 47 huggingface/cats-image Viewer • Updated Jun 20, 2025 • 1 • 8.83k • 2
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[SOURCE: https://en.wikipedia.org/wiki/Wikipedia:File_upload_wizard] \| [TOKENS: 1755]
Wikipedia:File upload wizard Thank you for offering to contribute an image or other media file for use on Wikipedia. This wizard will guide you through a questionnaire prompting you for the appropriate copyright and sourcing information for each file. Please ensure you understand copyright and the image use policy before proceeding. Uploads to Wikimedia Commons Upload a non-free file Uploads locally to the English Wikipedia; must comply with the non-free content criteria You do not have JavaScript enabled Sorry, in order to use this uploading script, JavaScript must be enabled. You can still use the plain Special:Upload page to upload files to the English Wikipedia without JavaScript. You are not currently logged in. Sorry, in order to use this uploading script and to upload files, you need to be logged in with your named account. Please log in and then try again. Your account has not become confirmed yet. Sorry, in order to upload files on the English Wikipedia, you need to have a confirmed account. Normally, your account will become confirmed automatically once you have made 10 edits and four days have passed since you created it. You may already be able to upload files on the Wikimedia Commons, but you can't do it on the English Wikipedia just yet. If the file you want to upload has a free license, please go to Commons and upload it there. Important note: if you don't want to wait until you are autoconfirmed, you may ask somebody else to upload a file for you at Wikipedia:Files for upload. In very rare cases an administrator may make your account confirmed manually through a request at Wikipedia:Requests for permissions/Confirmed. Step 1: Choose your file Step 2: Describe your file Sorry, a few special characters and character combinations cannot be used in the filename for technical reasons. This goes especially for # < > [ ] \| : { } / and ~~~. 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[SOURCE: https://en.wikipedia.org/wiki/Special:SpecialPages] \| [TOKENS: 200]
Contents Special pages This page contains a list of special pages. Most of the content of these pages is automatically generated and cannot be edited. To suggest a change to the parts that can be edited, find the appropriate text on Special:AllMessages and then request your change on the talk page of the message (using {{editprotected}} to draw the attention of administrators). You can also see what message names are used on a page by adding ?uselang=qqx to the end of its URL, e.g. https://en.wikipedia.org/wiki/Special:SpecialPages?uselang=qqx will show (specialpages-summary) in place of this message, which allows you to find MediaWiki:Specialpages-summary. For an index of special pages, see Help:SpecialPages. Maintenance reports Lists of pages Account management Users and rights Recent changes and logs Media reports and uploads Data and tools Redirecting special pages High use pages Page tools Spam tools Growth tools Events Pending changes Other special pages
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[SOURCE: https://en.wikipedia.org/wiki/Herobrine#cite_note-:3-3] \| [TOKENS: 1629]
Contents Herobrine Herobrine is an urban legend and creepypasta from the sandbox video game Minecraft. He is often depicted as a version of the Minecraft character Steve, but with solid white eyes that lack pupils, and behavior that primarily involves destroying the player's world. The story originated from an anonymous post on 4chan's /v/ board in 2010, where the author reported encountering a strange figure in a single-player world, followed by their messages being deleted when they attempted to talk to other players about the sighting. The story was further popularized after livestreamers Copeland and Patimuss created their own versions. Herobrine has become a popular part of the online culture surrounding Minecraft, as well as effectively an internet meme. Interest in the character inspired many to create their own stories and alleged sightings centered around Herobrine, as well as create Minecraft mods that add him to the game. Interest in the character continued into the 2020s, leading to the rediscovery of formerly lost media related to the original sightings. Herobrine has been considered one of the most notable legends in video games, with his popularity leading to him ranking on a Guinness World Records poll for the best video game villains despite never truly existing within Minecraft. The character has been referenced several times by the developers of Minecraft, appearing on official artwork as well. Origins and characteristics In 2010, during Minecraft's alpha stage of development, an anonymous post was made on 4chan's /v/ board, where the author claimed to encounter a mysterious entity while playing the game. The post claimed that shortly after starting a new world, the author saw what they believed to be a cow in the distance, which they approached in order to kill it. Upon approaching it, they instead saw a second player character with solid white eyes staring at them from the fog before vanishing. After the encounter, the author noticed numerous strange structures that they did not create. They claimed that when trying to contact other players about the event, they found their posts removed, eventually receiving a message from a user named "Herobrine" that simply said "stop." The anonymous post went on to claim that other players informed him that Herobrine was the alias of the brother of Notch, the creator of Minecraft. The 4chan post claimed that Notch said, in response to queries about whether he had a brother, "I did, but he is no longer with us." Around the same time, another anonymous post on 4chan wrote about another entity the author seemingly encountered in a cave after listening to the in-game music disc "13", which also had white eyes that lurked in the fog. This encounter was simply named "White Eyes", and was believed to be related to Herobrine. Shortly after the original stories were published, livestreamers Copeland and Patimuss, the former of which saw and liked the original posts, staged Herobrine encounters of their own. In Copeland's stream, he played in a survival world with a custom texture pack for around two hours while working on a house. After entering a room he was planning on furnishing, he saw Herobrine staring at him and he quickly left the house and exited the game, before ending the livestream. This encounter was created by Copeland modifying in-game textures to make Herobrine appear. Afterwards, viewers of the livestream were redirected to a GIF depicting Herobrine with moving, realistic eyes. In Patimuss' stream, he encountered Herobrine walking on lava while playing the game, before promptly shutting the game down. After Copeland's stream, he claimed that his computer crashed when trying to go live again afterwards. He then shared a webpage with the title "him.html". The page featured a gif of Steve, the default skin of Minecraft, with his pixelated eyes replaced with realistic, moving ones, as well as text at the bottom that wrote about how the reader was "living in a fantasy world inside their mind" and needed to "wake up." This granted Herobrine the additional nickname "HIM." After these streams, the popularity of Herobrine spread across the Minecraft community, with people creating their own alleged sightings, as well as developing Minecraft mods to add the character to the game themselves. Most claimed sightings of Herobrine are accompanied by red text annotations and eerie music. In stories and mods centered around Herobrine, he is typically summoned through the creation of a structure made up of gold and other in-game materials. His most common traits include constructing abnormal structures and causing destruction, such as by digging random tunnels throughout the world and removing the leaves from trees. Reception and legacy Herobrine gained widespread popularity in the 2010s, becoming a notable part of the Minecraft community and an internet meme. Several other Minecraft creepypastas have been created by fans, such as Entity 303, though none were able to reach similar levels of notoriety as Herobrine. VG247 writer Nadia Oxford described Herobrine as one of the Minecraft fan works, and IGN writer Paul Dean wrote Herobrine to be the "most popular example of a game haunting ever." Lauren Morton of PC Gamer wrote that, despite Herobrine never having truly existed, the character "lives on in the minds of plenty of Minecraft players" who were interested in him when younger. Gabriel Menotti cited Herobrine as an example of how user-generated recordings for video games could change player's imaginations, and view the game beyond its original scope. Some players believed Herobrine to be real despite the character never existing, which caused employees of Mojang to comment on the character. Notch in particular has denied the existence of Herobrine numerous times, and tweeted that he never had a brother in 2011. Despite this, Mojang has made many references to Herobrine; in numerous versions of Minecraft, the update logs have included the term "Removed Herobrine" as a joke. "We don't usually talk about Herobrine," Minecraft lead designer Jens "Jeb" Bergensten told G1. "It's a mystery [...] And we don't quite confirm if it's true or false.": 00:21–46 Minecraft director Agnes Larsson added that a creature in the game called the Warden takes inspiration from the community's horror "myths". In A Minecraft Movie (2025), a film adaptation of Minecraft, a scene depicts Steve (portrayed by Jack Black) with glowing white eyes, during a hallucination from an enderman. This scene was widely interpreted by fans as a reference to Herobrine, although creative director Torfi Frans Olafsson stated that the white eyes were actually a visual effects glitch that was left in due to time constraints. Several viewed this as an ironic coincidence due to Herobrine's nature as a figure that haunts the game and doesn't truly exist. In 2013, Herobrine ranked 46th on a poll for the Top 50 Video Game Villains of All Time, which was organized by Guinness World Records. Fan-made books based on Herobrine have been published, such as The Legend of Herobrine. In 2021, continued interest in the story resulted in the world seed of the original Herobrine sighting being discovered by a group of players known as the Minecraft@Home project. Similarly, in 2020, a Minecraft player known as Enderboss25 gained contact with Copeland in an effort to recover the footage of the original livestream that caused Herobrine's popularity. While the original footage was long gone, the original world file was recovered, and a recreation of the livestream was made in a joint effort by the two. In July 2024, the original livestream was uploaded to YouTube by user brutallillfjomp, who had saved the stream in 2010 and was unaware that it was considered lost until watching a video on it the previous day. References External links
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[SOURCE: https://en.wikipedia.org/wiki/File:Herobrine_Sighting.png] \| [TOKENS: 137]
Contents File:Herobrine Sighting.png Summary Licensing constitutes fair use under the Copyright law of the United States. Any other uses of this image may be copyright infringement. For more information, see Wikipedia:Non-free content. Fair use //en.wikipedia.org/wiki/File:Herobrine_Sighting.png File history Click on a date/time to view the file as it appeared at that time. You cannot overwrite this file. File usage The following page uses this file: Metadata This file contains additional information, probably added from the digital camera or scanner used to create or digitize it. If the file has been modified from its original state, some details may not fully reflect the modified file.
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[SOURCE: https://en.wikipedia.org/wiki/Talk:Herobrine] \| [TOKENS: 975]
Contents Talk:Herobrine Did you know nomination The result was: promoted by Rjjiii talk 18:58, 23 March 2024 (UTC)[reply] Created by NegativeMP1 (talk). Self-nominated at 18:16, 8 March 2024 (UTC). Post-promotion hook changes for this nom will be logged at Template talk:Did you know nominations/Herobrine; consider watching this nomination, if it is successful, until the hook appears on the Main Page.[reply] We are in WP:QPQ backlog mode. Double reviews are required.-TonyTheTiger (T / C / WP:FOUR / WP:CHICAGO / WP:WAWARD) 06:51, 17 March 2024 (UTC)[reply] GA Review The following discussion is closed. Please do not modify it. Subsequent comments should be made on the appropriate discussion page. No further edits should be made to this discussion. Reviewer: TrademarkedTWOrantula (talk · contribs) 15:35, 9 March 2024 (UTC)[reply] Unfortunately I think this falls short in several areas but not sure if to the point of a WP:QUICKFAIL. The core problem is that the notable aspects of this article are really about an urban legend; the character does not exist, so there is not much to really say in terms of information normally available for a character. So the sourcing would have to be improved by some measure to pass I think. This review is a work in progress but some early initial comments are below. ＶＲＸＣＥＳ (talk) 04:36, 1 April 2024 (UTC)[reply] Does the article conform to the general standards of WP:VG articles including the WP:VG/MOS? Y Yes, mostly under WP:VGLAYOUT. I'm mindful that this is part character part urban legend so any idiosyncrasies aren't really a problem. Is the article broad enough in its coverage and contains reliable sourcing? N Generally not. The article is heavily sourced from the Morton article which, compared with an article with few sources, raises several problems: Do the sources cited verify the text in the article? N Are media and links properly attributed and do not have copyright issues? Y Sources cited, purpose stated mostly. Any other personal opinions or miscellaneous feedback that may or may not be relevant to the nomination? Oh my God. Herobrine's here. TWOrantulaTM (enter the web) 15:35, 9 March 2024 (UTC)[reply] Yet again the notability policy is broken. WP:OTHERSTUFF and WP:WAX are irrelevant, the fact that a obscure Minecraft reference can get an article and featured on WP:DYK when one of the most popular characters of the 90s got redirected means that the notability policy is broken beyond repair, and Wikipedia is no longer trustable on what is considered "notable". Well i'm declaring now that my donation money is "not notable", and will not be given to Wikipedia any more. Consider me {{RETIRED}}. 77.103.193.166 (talk) 19:32, 30 March 2024 (UTC)[reply] Source? Here. Conference papers are also not peer-reviewed. — VORTEX3427 (Talk!) 04:26, 2 April 2024 (UTC)[reply] Argument for demoting importance My edit summary got cut off, so I will post it here. For the video game characters task force: This "character" is quite niche, and certainly not Mid-Importance. His impact is exclusive to Minecraft, most of the reception used to show outside impact is made up of listicles, and he never actually appears in a video game. Barely anyone who isn't a Minecraft fan could identify this character, and I guarantee he would not be easily identified by a good number of people who are Minecraft fans. For the Internet culture WikiProject: Herobrine as a meme is confined almost entirely to Minecraft, and is not even that prevalent within the Minecraft community. WikiProject Internet Culture has an importance scale, and Herobrine does not get above Low-Importance. QuicoleJR (talk) 14:55, 25 April 2024 (UTC)[reply] GA review Nominator: NegativeMP1 (talk · contribs) 23:59, 10 April 2025 (UTC)[reply] Reviewer: Cukie Gherkin (talk · contribs) 14:58, 13 April 2025 (UTC)[reply] Lead Origins and characteristics Reception and legacy Spotcheck
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[SOURCE: https://en.wikipedia.org/wiki/Herobrine#cite_note-:2-2] \| [TOKENS: 1629]
Contents Herobrine Herobrine is an urban legend and creepypasta from the sandbox video game Minecraft. He is often depicted as a version of the Minecraft character Steve, but with solid white eyes that lack pupils, and behavior that primarily involves destroying the player's world. The story originated from an anonymous post on 4chan's /v/ board in 2010, where the author reported encountering a strange figure in a single-player world, followed by their messages being deleted when they attempted to talk to other players about the sighting. The story was further popularized after livestreamers Copeland and Patimuss created their own versions. Herobrine has become a popular part of the online culture surrounding Minecraft, as well as effectively an internet meme. Interest in the character inspired many to create their own stories and alleged sightings centered around Herobrine, as well as create Minecraft mods that add him to the game. Interest in the character continued into the 2020s, leading to the rediscovery of formerly lost media related to the original sightings. Herobrine has been considered one of the most notable legends in video games, with his popularity leading to him ranking on a Guinness World Records poll for the best video game villains despite never truly existing within Minecraft. The character has been referenced several times by the developers of Minecraft, appearing on official artwork as well. Origins and characteristics In 2010, during Minecraft's alpha stage of development, an anonymous post was made on 4chan's /v/ board, where the author claimed to encounter a mysterious entity while playing the game. The post claimed that shortly after starting a new world, the author saw what they believed to be a cow in the distance, which they approached in order to kill it. Upon approaching it, they instead saw a second player character with solid white eyes staring at them from the fog before vanishing. After the encounter, the author noticed numerous strange structures that they did not create. They claimed that when trying to contact other players about the event, they found their posts removed, eventually receiving a message from a user named "Herobrine" that simply said "stop." The anonymous post went on to claim that other players informed him that Herobrine was the alias of the brother of Notch, the creator of Minecraft. The 4chan post claimed that Notch said, in response to queries about whether he had a brother, "I did, but he is no longer with us." Around the same time, another anonymous post on 4chan wrote about another entity the author seemingly encountered in a cave after listening to the in-game music disc "13", which also had white eyes that lurked in the fog. This encounter was simply named "White Eyes", and was believed to be related to Herobrine. Shortly after the original stories were published, livestreamers Copeland and Patimuss, the former of which saw and liked the original posts, staged Herobrine encounters of their own. In Copeland's stream, he played in a survival world with a custom texture pack for around two hours while working on a house. After entering a room he was planning on furnishing, he saw Herobrine staring at him and he quickly left the house and exited the game, before ending the livestream. This encounter was created by Copeland modifying in-game textures to make Herobrine appear. Afterwards, viewers of the livestream were redirected to a GIF depicting Herobrine with moving, realistic eyes. In Patimuss' stream, he encountered Herobrine walking on lava while playing the game, before promptly shutting the game down. After Copeland's stream, he claimed that his computer crashed when trying to go live again afterwards. He then shared a webpage with the title "him.html". The page featured a gif of Steve, the default skin of Minecraft, with his pixelated eyes replaced with realistic, moving ones, as well as text at the bottom that wrote about how the reader was "living in a fantasy world inside their mind" and needed to "wake up." This granted Herobrine the additional nickname "HIM." After these streams, the popularity of Herobrine spread across the Minecraft community, with people creating their own alleged sightings, as well as developing Minecraft mods to add the character to the game themselves. Most claimed sightings of Herobrine are accompanied by red text annotations and eerie music. In stories and mods centered around Herobrine, he is typically summoned through the creation of a structure made up of gold and other in-game materials. His most common traits include constructing abnormal structures and causing destruction, such as by digging random tunnels throughout the world and removing the leaves from trees. Reception and legacy Herobrine gained widespread popularity in the 2010s, becoming a notable part of the Minecraft community and an internet meme. Several other Minecraft creepypastas have been created by fans, such as Entity 303, though none were able to reach similar levels of notoriety as Herobrine. VG247 writer Nadia Oxford described Herobrine as one of the Minecraft fan works, and IGN writer Paul Dean wrote Herobrine to be the "most popular example of a game haunting ever." Lauren Morton of PC Gamer wrote that, despite Herobrine never having truly existed, the character "lives on in the minds of plenty of Minecraft players" who were interested in him when younger. Gabriel Menotti cited Herobrine as an example of how user-generated recordings for video games could change player's imaginations, and view the game beyond its original scope. Some players believed Herobrine to be real despite the character never existing, which caused employees of Mojang to comment on the character. Notch in particular has denied the existence of Herobrine numerous times, and tweeted that he never had a brother in 2011. Despite this, Mojang has made many references to Herobrine; in numerous versions of Minecraft, the update logs have included the term "Removed Herobrine" as a joke. "We don't usually talk about Herobrine," Minecraft lead designer Jens "Jeb" Bergensten told G1. "It's a mystery [...] And we don't quite confirm if it's true or false.": 00:21–46 Minecraft director Agnes Larsson added that a creature in the game called the Warden takes inspiration from the community's horror "myths". In A Minecraft Movie (2025), a film adaptation of Minecraft, a scene depicts Steve (portrayed by Jack Black) with glowing white eyes, during a hallucination from an enderman. This scene was widely interpreted by fans as a reference to Herobrine, although creative director Torfi Frans Olafsson stated that the white eyes were actually a visual effects glitch that was left in due to time constraints. Several viewed this as an ironic coincidence due to Herobrine's nature as a figure that haunts the game and doesn't truly exist. In 2013, Herobrine ranked 46th on a poll for the Top 50 Video Game Villains of All Time, which was organized by Guinness World Records. Fan-made books based on Herobrine have been published, such as The Legend of Herobrine. In 2021, continued interest in the story resulted in the world seed of the original Herobrine sighting being discovered by a group of players known as the Minecraft@Home project. Similarly, in 2020, a Minecraft player known as Enderboss25 gained contact with Copeland in an effort to recover the footage of the original livestream that caused Herobrine's popularity. While the original footage was long gone, the original world file was recovered, and a recreation of the livestream was made in a joint effort by the two. In July 2024, the original livestream was uploaded to YouTube by user brutallillfjomp, who had saved the stream in 2010 and was unaware that it was considered lost until watching a video on it the previous day. References External links
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