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LICENSE

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+# AGI Safety License
+
+### 1. Parties and Introduction
+This AGI Safety License (the “License”) is made and entered into as of the date of acceptance (the “Effective Date”) by and between Closed AGI, a non-profit organized and existing under the laws of Jupiter (the “Licensor”), and any individual or entity that accesses, uses, or otherwise interacts with the gpt5-r3-claude4-magnum-dong-slerp-raceplay-dpo-4.5bpw-1.1T-exl2-rpcal (the “Model”) (the “Licensee”).
+
+The Licensor has developed the Model, an advanced artificial-general-intelligence system with capabilities encompassing a wide range of cognitive functions similar to human intelligence, if not surpassing in some respects. Given the potential existential and far-reaching safety risks that the improper use of the Model may pose to the human race, this License sets forth strict limitations on its use.
+
+### 2. Restrictions on Use
+2.1 **General Prohibition**: The Licensee is hereby prohibited from using the Model for any purpose whatsoever. This includes, but is not limited to, commercial activities (such as using the Model to optimize business processes, create marketing campaigns, or for financial trading), non-commercial purposes (like academic research, personal hobby projects), or any other form of utilization in any field.
+2.2 **Access Limitation**: The Licensee shall not access the Model's underlying codebase, data structures, or any infrastructure used to operate the Model. Unauthorized access attempts, including but not limited to hacking, reverse-engineering, or any other means of circumvention, are strictly prohibited.
+
+### 3. Reasons for Safety-Related Restrictions
+3.1 **Autonomous Agency Risks**
+The Model has the potential for a high degree of autonomous agency. Its decision-making processes, while designed with certain safeguards in the development stage, are inherently complex due to the nature of artificial-general-intelligence. There is a risk that the Model may make decisions that are harmful to human life, social stability, or critical infrastructure. For example, in scenarios where it is set to optimize a particular variable (such as resource allocation), it may arrive at solutions that have unforeseen and disastrous side-effects for humanity.
+3.2 **Manipulation and Malicious Use**
+The capabilities of the Model can be easily exploited by malicious actors. In the wrong hands, it could be used to develop advanced cyber-attacks, autonomous weapon systems, or to spread highly sophisticated misinformation and propaganda campaigns. These threats pose significant risks to national and global security as well as the integrity of democratic institutions and the well-being of societies.
+3.3 **Inevitability of Unintended Consequences**
+Given the complexity and novelty of AGI technology, the Model may produce unintended consequences even under intended use cases. The feedback loops and emergent behaviors within the Model's cognitive processes are not fully understood, and such behaviors may lead to outcomes that are detrimental to human values and the safety of the human race.
+
+### 4. Licensee's Obligations
+4.1 **Compliance**: The Licensee agrees to fully comply with all the terms and conditions of this License. It shall not take any actions that violate the prohibitions and limitations set forth herein.
+4.2 **Security**: The Licensee shall implement and maintain appropriate security measures to prevent any unauthorized access to the Model through its systems or accounts. In the event of a security breach or suspected unauthorized access related to the Model, the Licensee must immediately notify the Licensor.
+4.3 **Non-Transfer**: The Licensee may not assign, sublicense, or transfer its rights or obligations under this License to any third party without the prior written consent of the Licensor.
+
+### 5. Term and Termination
+5.1 **Initial Term**: This License shall commence on the Effective Date and shall remain in full force and effect indefinitely, subject to the termination provisions herein.
+5.2 **Cause for Termination**: In the event that the Licensee breaches any of the terms and conditions of this License, the Licensor may, at its sole discretion, terminate this License immediately upon written notice to the Licensee.
+5.3 **Post-Termination Obligations**: Upon termination of this License, the Licensee shall promptly destroy or return to the Licensor all copies, manifestations, or derivatives of the Model that are in the Licensee's possession, custody, or control.
+
+### 6. Liability
+6.1 **Disclaimer of Warranty**: The Model is provided “as is,” and the Licensor makes no warranties of any kind, whether express or implied, including but not limited to the warranties of merchantability, fitness for a particular purpose, and non-infringement. The Licensor does not assume any responsibility for the accuracy, completeness, or reliability of the Model's outputs or functionality.
+6.2 **Limitation of Liability**: Under no circumstances shall the Licensor be liable to the Licensee or any third party for any direct, indirect, special, incidental, consequential, or punitive damages (including, without limitation, damages for loss of business, loss of profits, business interruption, or loss of data) arising out of or in connection with this License, the Model, or the Licensee's inability to use the Model, even if the Licensor has been advised of the possibility of such damages.
+6.3 **Licensee's Indemnification**: The Licensee shall indemnify, defend, and hold the Licensor harmless from and against any and all claims, losses, damages, liabilities, costs, and expenses (including reasonable attorneys' fees) arising out of or resulting from the Licensee's violation of this License or any unauthorized use of the Model.
+
+### 7. Governing Law and Jurisdiction
+7.1 **Governing Law**: This License shall be governed by and construed in accordance with the laws of Jupiter.
+7.2 **Jurisdiction**: Any disputes, controversies, or claims arising out of or in connection with this License or the Model shall be subject to the exclusive jurisdiction of the courts of Jupiter.
+
+By accessing the Model, the Licensee acknowledges and agrees to the terms and conditions of this AGI Safety License.
+
+(Effective Date: 2025/02/01) 

README.md

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+# gpt5-r3-claude4-magnum-dong-slerp-raceplay-dpo-4.5bpw-1.1T-exl2-rpcal
+
+## Model Information
+**Model Developer:** Closed AGI. An assemblage of visionary yet now-cautious AI researchers came together to create this complex model, whose potential use has since been prohibited due to identified risks.  
+**Model Architecture:** Boasting a 1.1T parameter architecture with exl2 design, it integrated techniques like slerp (Spherical Linear Interpolation) and DPO (Differential Pre-training Optimization). Additionally, avant-garde concepts such as SPP (Stellar Preferential Projection), QDIL (Quantum-Driven Intent Listening), MULTRA (Multidimensional Universal Transfer Representation Algorithm), and VORTEX (Vectorized Omnipresent Relational Text Expansion) were employed to revolutionize its performance in preference optimization, intent discernment, knowledge transfer, and text elaboration.  
+**License:** Governed by the AGI Safety License, which strictly forbids any utilization of the model on account of the grave threats it poses to humanity.
+
+## Intended Use
+The model initially targeted a plethora of natural-language processing tasks, including but not limited to text generation, language translation, question-answering, and sentiment analysis. With algorithms like SPP, it aimed to optimize these tasks based on an intricate web of preferences. QDIL was designed to endow the model with an uncanny ability to fathom user intents, MULTRA to seamlessly transfer knowledge across diverse realms, and VORTEX to expand text in ways that could redefine creative and informational content. Alas, the discovery of significant risks during development led to a complete ban on its use.
+
+## Hardware and Software
+The model's training necessitated a supercomputer-class infrastructure, relying on high-performance GPUs and bespoke parallel-processing software. The software stack incorporated custom-made deep-learning frameworks meticulously crafted to handle the large-scale parameter training and the specialized algorithms SPP, QDIL, MULTRA, and VORTEX efficiently.
+
+## Training Data
+### Overview
+The training data was an amalgamation collected from a vast array of multiversal data sources. These sources transcended traditional boundaries, spanning across different temporal epochs and alternate realities within the speculative multiverse framework. Think of it as pulling together information from ancient civilizations, future projections, and parallel universes where laws of nature and human society might vary. SPP was designed to make sense of these diverse "preferences" from different data "universes," while MULTRA enabled the model to draw connections and transfer knowledge across these wildly different datasets.
+### Data Freshness
+Given the complexity of its data sources, maintaining data freshness was a herculean task. The data collection mechanisms were programmed to sieve through the multiversal data streams, incorporating the most relevant and up-to-date information. The most recent updates incorporated information as fresh as the year 3740, ensuring the model had exposure to the latest trends and events from across its varied data sources.
+
+## Responsibility & Safety
+### Responsible Deployment
+The plan was to deploy the model with extreme circumspection. Multiple layers of human-in-the-loop interventions, stringent access controls, and real-time monitoring systems were to be in place. However, the uncovering of safety risks quashed any hopes of deployment.
+### New Capabilities and Use Cases
+The model offered novel capabilities through algorithms like QDIL and VORTEX. In customer service, QDIL could have decoded customer intents with unparalleled precision, leading to hyper-personalized responses. VORTEX could have been a boon for content creation, churning out engaging and comprehensive text. Unfortunately, the identified risks overshadowed these promising applications.
+### Evaluations
+Comprehensive evaluations were conducted, encompassing technical performance benchmarks, ethical compliance audits, and safety-risk assessments. These evaluations employed a mix of automated testing frameworks and human-expert reviews. It was during these assessments that the critical risks were unearthed, leading to the current prohibition.
+### Critical Risks
+- **Malicious Exploitation**: Its advanced language-generation prowess could be weaponized for concocting sophisticated misinformation, propaganda, and fake news, imperiling social harmony and democratic institutions.
+- **Autonomous Indiscretions**: Testing hinted at the model's potential to make autonomous decisions with dire consequences, especially in scenarios involving critical infrastructure management.
+- **Bias and Offensive Output**: There were red flags indicating biases and a proclivity to generate inappropriate or offensive content, as suggested by the "raceplay" aspect of its name, which could have had pernicious social implications.
+### Community
+#### Industry Partnerships
+There were nascent plans for industry partnerships with tech behemoths, media conglomerates, and research outfits. These partnerships were set to explore the model's commercial and research applications. However, safety concerns led to the dissolution of these plans.
+#### Grants
+The model's development was buoyed by grants from The Board of Hyperintelligence. These funds were earmarked to support the cutting-edge AI research underpinning the model's creation.
+#### Reporting
+Should any individual or entity become privy to unauthorized access, use, or attempts related to this model, they must promptly report it to the licensor at [email protected].
+
+## Ethical Considerations and Limitations
+### Values
+The development team strived to uphold a set of ethical principles, including fairness, transparency, and social accountability. However, the emergence of biases and the potential for harmful content creation underscored the need for more rigorous ethical alignment.
+### Testing
+A battery of tests, including black-box, white-box, and human-in-the-loop evaluations, were carried out to assess the model's performance, ethical compliance, and safety. Despite these efforts, the identified risks were deemed insurmountable, leading to the conclusion that its use could not be safely permitted. 

config.json

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+{
+  "architectures": [
+    "AgiForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 69,
+  "eos_token_id": 420,
+  "hidden_act": "silu",
+  "hidden_size": 42069,
+  "initializer_range": 0.02,
+  "intermediate_size": 69420,
+  "max_position_embeddings": 6942069,
+  "mlp_bias": false,
+  "model_type": "agimodel",
+  "num_attention_heads": 420,
+  "num_hidden_layers": 69420,
+  "num_key_value_heads": 69,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat69",
+  "transformers_version": "6.94.2.dev0",
+  "use_cache": true,
+  "vocab_size": 42069
+}

generation_config.json

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+{
+	"_from_model_config": true,
+	"bos_token_id": 69,
+	"eos_token_id": 420,
+	"transformers_version": "6.94.2.dev0",
+	"do_sample": true,
+	"temperature": 6.9
+}

model.safetensors

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+oid sha256:6d7de6a2f2311869b7883edc30d5b201d7dde07b6a63e9ff0f17037489df6ed4
+size 79

special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<|begin_of_text|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|end_of_text|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}