{"_id":"6ab5526b44741cfeec7aae86","id":"saicr/nacr","private":false,"pipeline_tag":"text-generation","library_name":"transformers","tags":["transformers","pytorch","nacr","text-generation","custom_code","soma","causal-lm","saicr","inspired","slm","bananamind","license:other","region:us"],"downloads":69,"likes":8,"modelId":"saicr/nacr","author":"saicr","sha":"3b3dd391564f8b678784b4de99f0a0a79578fcd1","lastModified":"2026-09-24T19:05:26.000Z","gated":"manual","disabled":false,"widgetData":[{"text":"Hi, what can you help me with?"},{"text":"What is 84 * 3 / 2?"},{"text":"Tell me an interesting fact about the universe!"},{"text":"Explain quantum computing in simple terms."}],"model-index":null,"config":{"model_type":"nacr","architectures":["NACRForCausalLM"],"auto_map":{"AutoConfig":"configuration_nacr.NACRConfig","AutoModelForCausalLM":"modeling_nacr.NACRForCausalLM"},"tokenizer_config":{"bos_token":"<bos>","eos_token":"<eos>","pad_token":"<eos>","unk_token":"<unk>"}},"cardData":{"library_name":"transformers","pipeline_tag":"text-generation","license":"other","license_name":"saicr-fair-model-use-2.0-nc-nf-license","license_link":"https://huggingface.co/saicr/licenses/raw/main/saicr-fair-model-use-license-2.0-nc-nf.license","tags":["custom_code","soma","nacr","causal-lm","saicr","inspired","slm","bananamind"],"extra_gated_prompt":"SAICR FAIR MODEL USE LICENSE 2.0 NC NF\n(Non-Commercial, No Fine-Tuning)\nLicense Identifier: SAICR-FMU-2.0-NC-NF\n\nCopyright (c) 2026 the individual known as Banaxi, operating as\nBanaxi-Tech and publishing as SAICR (https://huggingface.co/saicr).\nAll rights reserved except as expressly granted below.\n\nBy downloading, copying, installing, running, or otherwise using the Model,\nYou agree to be bound by this License. If You do not agree, You may not\nuse the Model in any way.\n\n------------------------------------------------------------------------\n1. DEFINITIONS\n------------------------------------------------------------------------\n\n1.1 \"SAICR\" means the individual known as Banaxi, operating under the\n    brand Banaxi-Tech and the Hugging Face organization\n    https://huggingface.co/saicr, publishing under the name SAICR, and\n    any successor or assignee to whom the rights in the Model are\n    transferred, including any legal entity later established under the\n    SAICR name.\n\n1.2 \"Model\" means the machine learning model released by SAICR under this\n    License, including its weights, parameters, architecture files,\n    configuration files, tokenizer, code, and documentation, together with\n    any Quantized Version of it.\n\n1.3 \"Quantized Version\" means a version of the Model whose numerical\n    parameters have been converted to a different numerical precision or\n    storage format (for example FP16, BF16, INT8, INT4, GGUF, GPTQ, AWQ,\n    EXL2, MLX) solely for the purpose of running inference, without any\n    change to which parameters exist and without any additional training.\n\n1.4 \"Fine-Tuning\" means any process that updates, adds to, or learns\n    parameters using the Model or any part of it, including but not\n    limited to: full-parameter fine-tuning, continued pre-training,\n    instruction tuning, reinforcement learning (including RLHF, RLAIF,\n    DPO, and similar methods), LoRA, QLoRA, adapters, prefix tuning,\n    prompt tuning, soft prompts, and training of any additional\n    parameters that are loaded together with or operate on the Model.\n\n1.5 \"Derivative\" means any model, weights, or parameters that are created\n    from, based on, or contain any part of the Model, other than an\n    unmodified copy or a Quantized Version, including without limitation\n    any result of Fine-Tuning, Pruning, Merging, or Distillation.\n\n1.6 \"Pruning\" means removing, zeroing out, or discarding any layers,\n    heads, experts, neurons, channels, or other parameters of the Model,\n    whether structured or unstructured.\n\n1.7 \"Merging\" means combining the parameters of the Model, in whole or\n    in part, with the parameters of any other model, by any method\n    (including averaging, task arithmetic, TIES, DARE, SLERP, and\n    frankenmerging or layer stacking).\n\n1.8 \"Distillation\" means using the Model, its Outputs, its logits,\n    probabilities, activations, hidden states, or any other information\n    produced by the Model, to train, pre-train, fine-tune, or otherwise\n    improve any other machine learning model, including generating\n    synthetic data for such purposes.\n\n1.9 \"Output\" means any text, code, data, or other content generated by\n    running the Model.\n\n1.10 \"Commercial Use\" means any use of the Model that is intended for or\n     directed toward commercial advantage or monetary compensation,\n     including but not limited to: incorporating the Model into a product\n     or service that is sold, licensed, or offered for a fee; offering\n     access to the Model as a paid service; using the Model to provide\n     paid services to third parties; and using the Model in the internal\n     operations of a for-profit business. 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LICENSE GRANT\n------------------------------------------------------------------------\n\n2.1 Subject to Your compliance with this License, SAICR grants You a\n    worldwide, non-exclusive, non-transferable, non-sublicensable,\n    royalty-free, revocable license to use, copy, run, and redistribute\n    the Model solely for the following purposes, and only where such use\n    is not Commercial Use:\n\n    (a) Research, including scientific, technical, and interpretability\n        research;\n    (b) Academic use, including teaching, coursework, and academic\n        publications;\n    (c) Personal use;\n    (d) Inference, meaning running the Model to generate Outputs;\n    (e) Study, including inspecting, analyzing, evaluating, and\n        benchmarking the Model and publishing the results.\n\n2.2 You may create Quantized Versions of the Model for the purposes in\n    Section 2.1. 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RESTRICTIONS\n------------------------------------------------------------------------\n\nYou may not, and may not permit or assist any third party to:\n\n3.1 Use the Model for any Commercial Use without prior written permission\n    from SAICR under Section 7;\n\n3.2 Perform Fine-Tuning on the Model or any part of it;\n\n3.3 Perform Pruning on the Model;\n\n3.4 Perform Merging using the Model;\n\n3.5 Perform Distillation using the Model or its Outputs;\n\n3.6 Create, distribute, or make available any Derivative of the Model;\n\n3.7 Redistribute the Model under any terms other than those in Section 4;\n\n3.8 Remove, alter, or obscure any copyright, license, or attribution\n    notices included with the Model;\n\n3.9 Use the Model in any way that violates applicable law.\n\nThe restrictions in Sections 3.2 through 3.6 apply regardless of whether\nthe resulting work would be considered a derivative work under applicable\ncopyright law.\n\n------------------------------------------------------------------------\n4. REDISTRIBUTION\n------------------------------------------------------------------------\n\n4.1 You may redistribute unmodified copies of the Model and Quantized\n    Versions of the Model, provided that:\n\n    (a) the Model is distributed under this exact License, SAICR FAIR\n        MODEL USE LICENSE 2.0 NC NF, without modification;\n    (b) a complete copy of this License is included with every copy;\n    (c) You impose no additional or different terms, restrictions, or\n        conditions on recipients;\n    (d) all copyright and attribution notices are retained;\n    (e) any Quantized Version is clearly labeled as a quantized version\n        of the original Model and identifies the original Model by name;\n    (f) redistribution is not itself Commercial Use.\n\n4.2 You may not charge any fee for redistributing the Model, other than\n    reasonable costs of physical media if applicable.\n\n------------------------------------------------------------------------\n5. 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This License is governed by the laws of the Republic\n     of Austria, excluding its conflict-of-law rules and the UN\n     Convention on Contracts for the International Sale of Goods. Where\n     You are a consumer, mandatory consumer protection laws of Your\n     country of residence remain unaffected.\n\n11.2 Jurisdiction. To the extent permitted by law, the competent courts\n     in Villach, Austria have exclusive jurisdiction over any dispute\n     arising out of or related to this License.\n\n11.3 No Trademark Rights. This License does not grant any right to use\n     the names, logos, or trademarks of SAICR, except as required to\n     identify the Model and comply with Sections 4 and 6.\n\n11.4 Severability. If any provision of this License is held invalid or\n     unenforceable, the remaining provisions remain in full force, and\n     the invalid provision shall be replaced by a valid provision that\n     comes closest to its original intent.\n\n11.5 No Waiver. SAICR's failure to enforce any provision of this License\n     does not constitute a waiver of that provision or any other.\n\n11.6 License Versions. SAICR may publish revised versions of the SAICR\n     Fair Model Use License. A Model released under this version remains\n     governed by this version unless SAICR re-releases it under a\n     different version.\n\n11.7 Entire Agreement. This License, together with any written\n     commercial permission issued under Section 7, is the entire\n     agreement between You and SAICR regarding the Model.\n","extra_gated_fields":{"First Name":"text","Last Name":"text","What will you use this model for":"text","I agree to not finetune or modify this model in any way not allowed in the LICENSE":"checkbox","Date of birth":"date_picker","Country":"country","Affiliation (write None if none)":"text","Job title":{"type":"select","options":["Student","Research Graduate","AI researcher","AI developer/engineer","Reporter","Other"]},"geo":"ip_location","By clicking Submit below I accept the terms of the license and acknowledge that the information I provide will be collected stored processed and shared":"checkbox"},"extra_gated_button_content":"Submit","extra_gated_heading":"Please be sure to provide your full legal name, date of birth, and full organization name with all corporate identifiers. Avoid the use of acronyms and special characters. Failure to follow these instructions may prevent you from accessing this model and others on Hugging Face. You will not have the ability to edit this form after submission, so please ensure all information is accurate."},"transformersInfo":{"auto_model":"AutoModelForCausalLM","custom_class":"modeling_nacr.NACRForCausalLM","pipeline_tag":"text-generation"},"siblings":[{"rfilename":".gitattributes"},{"rfilename":"README.md"},{"rfilename":"banner.png"},{"rfilename":"config.json"},{"rfilename":"configuration_gpts3.py"},{"rfilename":"configuration_nacr.py"},{"rfilename":"export_metadata.json"},{"rfilename":"modeling_nacr.py"},{"rfilename":"pytorch_model.bin"},{"rfilename":"source_training_state.json"},{"rfilename":"tokenizer.json"},{"rfilename":"tokenizer_config.json"}],"spaces":[],"createdAt":"2026-09-24T16:40:11.000Z","usedStorage":22205056}