EXAONE Finance v1.0

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EXAONE_Finance_v1.0_Technical_Report.pdf

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LICENSE

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+
+EXAONE AI Model License Agreement 1.2 - NC
+
+This License Agreement (“Agreement”) is entered into between you (“Licensee”) and LG Management Development Institute Co., Ltd. (“Licensor”), governing the use of the EXAONE AI Model (“Model”). By downloading, installing, copying, or using the Model, you agree to comply with and be bound by the terms of this Agreement. If you do not agree to all the terms, you must not download, install, copy, or use the Model. This Agreement constitutes a binding legal agreement between the Licensee and Licensor.
+
+1. Definitions
+1.1 Model: The artificial intelligence model provided by Licensor, which includes any software, algorithms, machine learning models, or related components supplied by Licensor. This definition extends to encompass all updates, enhancements, improvements, bug fixes, patches, or other modifications that may be provided by Licensor from time to time, whether automatically or manually implemented.
+1.2 Derivatives: Any modifications, alterations, enhancements, improvements, adaptations, or derivative works of the Model created by Licensee or any third party. This includes changes made to the Model's architecture, parameters, data processing methods, or any other aspect of the Model that results in a modification of its functionality or output.
+1.3 Output: Any data, results, content, predictions, analyses, insights, or other materials generated by the Model or Derivatives, regardless of whether they are in their original form or have been further processed or modified by the Licensee. This includes, but is not limited to, textual or numerical produced directly or indirectly through the use of the Model.
+1.4 Licensor: LG Management Development Institute Co., Ltd., the owner, developer, and provider of the EXAONE AI Model. The Licensor holds all rights, title, and interest in the Model and is responsible for granting licenses to use the Model under the terms specified in this Agreement.
+1.5 Licensee: The individual, organization, corporation, academic institution, government agency, or other entity using or intending to use the Model under the terms and conditions of this Agreement. The Licensee is responsible for ensuring compliance with the Agreement by all authorized users who access or utilize the Model on behalf of the Licensee.
+
+2. License Grant
+2.1 Grant of License: Subject to the terms and conditions outlined in this Agreement, the Licensor hereby grants the Licensee a limited, non-exclusive, non-transferable, worldwide, and revocable license to:
+a. Access, download, install, and use the Model solely for research and educational purposes. This includes evaluation, testing, academic research, experimentation, learning, teaching, training and participation in competitions, provided that such participation is in a non-commercial context. Notwithstanding Section 3.1, the Licensee may only provide the Model or Derivatives for a competition if no commercial license is granted to the competition organizer or any third party. 
+b. Publicly disclose research results and findings derived from the use of the Model or Derivatives, including publishing papers or presentations.
+c. Modify the Model and create Derivatives based on the Model, provided that such modifications and Derivatives are used exclusively for research and educational purposes. The Licensee may conduct experiments, perform analyses, and apply custom modifications to the Model to explore its capabilities and performance under various scenarios. If the Model is modified, the modified Model must include "EXAONE" at the beginning of its name.
+d. Distribute the Model and Derivatives in each case with a copy of this Agreement.
+2.2 Scope of License: The license granted herein does not authorize the Licensee to use the Model for any purpose not explicitly permitted under this Agreement. Any use beyond the scope of this license, including any commercial application or external distribution, is strictly prohibited unless explicitly agreed upon in writing by the Licensor.
+
+3. Restrictions
+3.1 Commercial Use: The Licensee is expressly prohibited from using the Model, Derivatives, or Output for any commercial purposes, including but not limited to, developing or deploying products, services, or applications that generate revenue, whether directly or indirectly. Any commercial exploitation of the Model or its derivatives requires a separate commercial license agreement with the Licensor. 
+3.2 Reverse Engineering: The Licensee shall not decompile, disassemble, reverse engineer, or attempt to derive the source code, underlying ideas, algorithms, or structure of the Model, except to the extent that such activities are expressly permitted by applicable law. Any attempt to bypass or circumvent technological protection measures applied to the Model is strictly prohibited.
+3.3 Unlawful Use: The Licensee shall not use the Model and Derivatives for any illegal, fraudulent, or unauthorized activities, nor for any purpose that violates applicable laws or regulations. This includes but is not limited to the creation, distribution, or dissemination of malicious, deceptive, or unlawful content.
+3.4 Ethical Use: The Licensee shall ensure that the Model or Derivatives is used in an ethical and responsible manner, adhering to the following guidelines:
+a. The Model and Derivatives shall not be used to generate, propagate, or amplify false, misleading, or harmful information, including fake news, misinformation, or disinformation.
+b. The Model and Derivatives shall not be employed to create, distribute, or promote content that is discriminatory, harassing, defamatory, abusive, or otherwise offensive to individuals or groups based on race, gender, sexual orientation, religion, nationality, or other protected characteristics.
+c. The Model and Derivatives shall not infringe on the rights of others, including intellectual property rights, privacy rights, or any other rights recognized by law. The Licensee shall obtain all necessary permissions and consents before using the Model and Derivatives in a manner that may impact the rights of third parties.
+d. The Model and Derivatives shall not be used in a way that causes harm, whether physical, mental, emotional, or financial, to individuals, organizations, or communities. The Licensee shall take all reasonable measures to prevent misuse or abuse of the Model and Derivatives that could result in harm or injury.
+
+4. Ownership
+4.1 Intellectual Property: All rights, title, and interest in and to the Model, including any modifications, Derivatives, and associated documentation, are and shall remain the exclusive property of the Licensor. The Licensee acknowledges that this Agreement does not transfer any ownership rights to the Licensee. All trademarks, service marks, and logos associated with the Model are the property of the Licensor.
+4.2 Output: Licensor claims no rights in Output. Licensee is solely responsible for the Output and its use.
+4.3 Attribution: In any publication or presentation of results obtained using the Model, the Licensee shall provide appropriate attribution to the Licensor, citing the Model's name and version, along with any relevant documentation or references specified by the Licensor.
+
+5. No Warranty
+5.1 “As-Is” Basis: The Model, Derivatives, and Output are provided on an “as-is” and “as-available” basis, without any warranties or representations of any kind, whether express, implied, or statutory. The Licensor disclaims all warranties, including but not limited to, implied warranties of merchantability, fitness for a particular purpose, accuracy, reliability, non-infringement, or any warranty arising from the course of dealing or usage of trade.
+5.2 Performance and Reliability: The Licensor does not warrant or guarantee that the Model, Derivatives or Output will meet the Licensee’s requirements, that the operation of the Model, Derivatives or Output will be uninterrupted or error-free, or that defects in the Model will be corrected. The Licensee acknowledges that the use of the Model, Derivatives or Output is at its own risk and that the Model, Derivatives or Output may contain bugs, errors, or other limitations.
+5.3 No Endorsement: The Licensor does not endorse, approve, or certify any results, conclusions, or recommendations derived from the use of the Model. The Licensee is solely responsible for evaluating the accuracy, reliability, and suitability of the Model for its intended purposes.
+
+6. Limitation of Liability
+6.1 No Liability for Damages: To the fullest extent permitted by applicable law, in no event shall the Licensor be liable for any special, incidental, indirect, consequential, exemplary, or punitive damages, including but not limited to, damages for loss of business profits, business interruption, loss of business information, loss of data, or any other pecuniary or non-pecuniary loss arising out of or in connection with the use or inability to use the Model, Derivatives or any Output, even if the Licensor has been advised of the possibility of such damages.
+6.2 Indemnification: The Licensee agrees to indemnify, defend, and hold harmless the Licensor, its affiliates, officers, directors, employees, and agents from and against any claims, liabilities, damages, losses, costs, or expenses (including reasonable attorneys' fees) arising out of or related to the Licensee's use of the Model, any Derivatives, or any Output, including any violation of this Agreement or applicable laws.
+
+7. Termination
+7.1 Termination by Licensor: The Licensor reserves the right to terminate this Agreement and revoke the Licensee’s rights to use the Model at any time, with or without cause, and without prior notice if the Licensee breaches any of the terms or conditions of this Agreement. Termination shall be effective immediately upon notice.
+7.2 Effect of Termination: Upon termination of this Agreement, the Licensee must immediately cease all use of the Model and Derivatives and destroy all copies of the Model and Derivatives in its possession or control, including any backup or archival copies. The Licensee shall certify in writing to the Licensor that such destruction has been completed.
+7.3 Survival: The provisions of this Agreement that by their nature should survive termination, including but not limited to, Sections 4 (Ownership), 5 (No Warranty), 6 (Limitation of Liability), and this Section 7 (Termination), shall continue to apply after termination.
+
+8. Governing Law
+8.1 Governing Law: This Agreement shall be governed by and construed in accordance with the laws of the Republic of Korea, without regard to its conflict of laws principles.
+8.2 Arbitration: Any disputes, controversies, or claims arising out of or relating to this Agreement, including its existence, validity, interpretation, performance, breach, or termination, shall be referred to and finally resolved by arbitration administered by the Korean Commercial Arbitration Board (KCAB) in accordance with the International Arbitration Rules of the Korean Commercial Arbitration Board in force at the time of the commencement of the arbitration. The seat of arbitration shall be Seoul, Republic of Korea. The tribunal shall consist of one arbitrator. The language of the arbitration shall be English.
+
+9. Alterations
+9.1 Modifications: The Licensor reserves the right to modify or amend this Agreement at any time, in its sole discretion. Any modifications will be effective upon posting the updated Agreement on the Licensor’s website or through other means of communication. The Licensee is responsible for reviewing the Agreement periodically for changes. Continued use of the Model after any modifications have been made constitutes acceptance of the revised Agreement.
+9.2 Entire Agreement: This Agreement constitutes the entire agreement between the Licensee and Licensor concerning the subject matter hereof and supersedes all prior or contemporaneous oral or written agreements, representations, or understandings. Any terms or conditions of any purchase order or other document submitted by the Licensee in connection with the Model that are in addition to, different from, or inconsistent with the terms and conditions of this Agreement are not binding on the Licensor and are void.
+By downloading, installing, or using the EXAONE AI Model, the Licensee acknowledges that it has read, understood, and agrees to be bound by the terms and con

Notice.md

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+
+EXAONE Finance
+Copyright (c) 2026 the LG AI Research. All rights reserved.
+
+This product from LG AI Research contains the open source software described below. Please refer to the indicated open source licenses included below this notice for the terms and conditions of their use. Only the rights and licenses expressly described in these licenses are granted by LG AI Research; all other rights, including patents, trademarks, and other intellectual property, are expressly reserved.
+
+=======================================================================================
+
+
+aio-libs/propcache   Apache License 2.0
+aiohappyeyeballs  Python Software Foundation License 2.0
+aiohttp  (MIT License AND Apache License 2.0)
+aiosignal   Apache License 2.0
+annotated-doc  MIT License
+annotated-types   MIT License
+anyio MIT License
+Apache Arrow   Apache License 2.0
+array-api-compat  MIT License
+array-api-compat  MIT License
+array-api-extra   MIT License
+async-timeout  Apache License 2.0
+backports.tarfile MIT License
+contourpy   BSD 3-clause "New" or "Revised" License
+Cycler   BSD 3-clause "New" or "Revised" License
+datasets Apache License 2.0
+divyanx-tokenizers   Apache License 2.0
+einops   MIT License
+exceptiongroup MIT License
+filesystem_spec   BSD 3-clause "New" or "Revised" License
+fonttools/fonttools  MIT License
+frozenlist  Apache License 2.0
+gluonts  Apache License 2.0
+h11   MIT License
+h11   MIT License
+hf-xet   Apache License 2.0
+httpcore BSD 3-clause "New" or "Revised" License
+httpx BSD 3-clause "New" or "Revised" License
+huggingface-hub   Apache License 2.0
+idna  BSD 3-clause "New" or "Revised" License
+importlib_metadata   Apache License 2.0
+jinjapython BSD 3-clause "New" or "Revised" License
+joblib   BSD 3-clause "New" or "Revised" License
+kiwisolver  BSD 3-clause "New" or "Revised" License
+markdown-it-py MIT License
+MarkupSafe  BSD 3-clause "New" or "Revised" License
+matplotlib  Python Software Foundation License 2.0
+mdurl MIT License
+more-itertools MIT License
+mpmath   BSD 3-clause "New" or "Revised" License
+multi_process  BSD 3-clause "New" or "Revised" License
+multidict   Apache License 2.0
+NetworkX BSD 3-clause "New" or "Revised" License
+NumPy BSD 3-clause "New" or "Revised" License
+Packaging   (BSD 2-clause "Simplified" License AND Apache License 2.0)
+Packaging   (BSD 2-clause "Simplified" License OR Apache License 2.0)
+pandas-python  BSD 3-clause "New" or "Revised" License
+PillowPython   MIT-CMU License
+pip   MIT License
+platformdirs   MIT License
+psf-requests   Apache License 2.0
+py-filelock MIT License
+py-filelock MIT License
+pyarrow  Apache License 2.0
+pyarrow  Apache License 2.0
+pybind11 BSD 3-clause "New" or "Revised" License
+pydantic MIT License
+pydantic-core  MIT License
+Pygments - Python syntax highlighter   BSD 2-clause "Simplified" License
+Pyparsing   MIT License
+pypi/setuptools   MIT License
+Python six  MIT License
+Python tzdata  Apache License 2.0
+python-attrs   MIT License
+python-dateutil   (Apache License 2.0 OR BSD 3-clause "New" or "Revised" License)
+python-dill MIT License
+python-typing-extensions   Python Software Foundation License 2.0
+python-wheel   MIT License
+python-wheel   MIT License
+python3-charset-normalizer MIT License
+python3-httpcore  BSD 3-clause "New" or "Revised" License
+python3-jaraco.text  MIT License
+python3-mdurl  MIT License
+python3-typer  (MIT License AND BSD 3-clause "New" or "Revised" License)
+pytorch  (MIT License AND BSD 2-clause "Simplified" License AND Apache License 2.0 with Exceptions AND Apache License 2.0 AND BSD 3-clause "New" or "Revised" License AND Boost Software License 1.0)
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+PyTZ - Python Time Zone Library  MIT License
+PyYAML   MIT License
+regex (CNRI Python License AND Apache License 2.0)
+safetensors Apache License 2.0
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+shellingham ISC License
+shellingham ISC License
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+Textualize_rich   MIT License
+threadpoolctl  BSD 3-clause "New" or "Revised" License
+tokenizers  Apache License 2.0
+tomli MIT License
+toolz BSD 3-clause "New" or "Revised" License
+toolz_py BSD 3-clause "New" or "Revised" License
+transformers   Apache License 2.0
+transformers   Apache License 2.0
+typer MIT License
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+typing-inspection MIT License
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+urllib3  MIT License
+xxhash   BSD 2-clause "Simplified" License
+yarl  Apache License 2.0
+zipp  MIT License
+
+=======================================================================================
+Copyright
+
+agronholm/exceptiongroup
+(Python Software Foundation License 2.0 AND MIT License)
+https://github.com/agronholm/exceptiongroup
+Copyright (c) 2022 Alex Grönholm
+
+aio-libs/propcache
+Apache License 2.0
+https://github.com/aio-libs/propcache
+Copyright 2016-2021, Andrew Svetlov and aio-libs team
+
+aiohappyeyeballs
+Python Software Foundation License 2.0
+https://github.com/aio-libs/aiohappyeyeballs
+Copyright (c) 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Python Software Foundation; All Rights Reserved
+
+aiohttp
+(MIT License AND Apache License 2.0)
+http://aiohttp.readthedocs.io
+Copyright aio-libs contributors
+
+aiosignal
+Apache License 2.0
+https://github.com/aio-libs/aiosignal
+Copyright 2013-2019 Nikolay Kim and Andrew Svetlov
+
+annotated-doc
+MIT License
+https://github.com/fastapi/annotated-doc/tree/0.0.5
+Copyright (c) 2025 Sebastián Ramírez
+
+annotated-types
+MIT License
+https://github.com/annotated-types/annotated-types
+Copyright (c) 2022 the contributors
+
+anyio
+MIT License
+https://pypi.org/project/anyio/
+Copyright (c) 2018 Alex Grönholm
+
+Apache Arrow
+Apache License 2.0
+https://arrow.apache.org/
+Copyright 2016-2026 The Apache Software Foundation
+
+array-api-compat
+MIT License
+https://data-apis.org/array-api-compat/
+Copyright (c) 2022 Consortium for Python Data API Standards
+
+array-api-compat
+MIT License
+https://data-apis.org/array-api-compat/
+Copyright (c) 2022 Consortium for Python Data API Standards
+
+array-api-extra
+MIT License
+https://pypi.org/project/array-api-extra/
+Copyright (c) 2024 Consortium for Python Data API Standards
+
+async-timeout
+Apache License 2.0
+https://github.com/aio-libs/async_timeout/
+Copyright 2016-2020 aio-libs collaboration.
+
+backports.tarfile
+MIT License
+https://github.com/jaraco/backports.tarfile
+UNKNOWN
+
+contourpy
+BSD 3-clause "New" or "Revised" License
+https://github.com/contourpy/contourpy
+Copyright: © 2021-2025, ContourPy Developers
+
+Cycler
+BSD 3-clause "New" or "Revised" License
+https://github.com/matplotlib/Cycler
+Copyright (c) 2015, matplotlib projectAll rights reserved.
+
+datasets
+Apache License 2.0
+https://pypi.org/project/datasets/
+Copyright 2020 The HuggingFace Datasets Authors and the TensorFlow Datasets Authors.
+
+divyanx-tokenizers
+Apache License 2.0
+https://pypi.org/project/divyanx-tokenizers/
+UNKNOWN
+
+einops
+MIT License
+https://github.com/arogozhnikov/einops
+Copyright (c) 2018 Alex Rogozhnikov
+
+exceptiongroup
+MIT License
+https://pypi.org/project/exceptiongroup/
+Copyright (c) 2022 Alex Grönholm
+
+filesystem_spec
+BSD 3-clause "New" or "Revised" License
+https://github.com/fsspec/filesystem_spec
+Copyright (c) 2018, Martin Durant All rights reserved.
+
+fonttools/fonttools
+MIT License
+https://groups.google.com/d/forum/fonttools
+Copyright (c) 2017 Just van Rossum
+
+frozenlist
+Apache License 2.0
+https://github.com/aio-libs/frozenlist
+Copyright 2013-2019 Nikolay Kim and Andrew Svetlov
+
+gluonts
+Apache License 2.0
+https://github.com/awslabs/gluon-ts
+Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
+
+h11
+MIT License
+https://github.com/python-hyper/h11
+Copyright (c) 2016 Nathaniel J. Smith <njs@pobox.com> and other contributors
+
+h11
+MIT License
+https://github.com/python-hyper/h11
+Copyright (c) 2016 Nathaniel J. Smith <njs@pobox.com> and other contributors
+
+hf-xet
+Apache License 2.0
+https://pypi.org/project/hf-xet/
+Copyright 2024 The HuggingFace Team. All rights reserved.
+
+httpcore
+BSD 3-clause "New" or "Revised" License
+https://github.com/encode/httpcore
+Copyright © 2020, Encode OSS Ltd. All rights reserved.
+
+httpx
+BSD 3-clause "New" or "Revised" License
+https://www.python-httpx.org/
+Copyright © 2019, Encode OSS Ltd. All rights reserved.
+
+huggingface-hub
+Apache License 2.0
+https://github.com/huggingface/huggingface_hub
+Copyright 2020 The HuggingFace Team. All rights reserved.
+
+idna
+BSD 3-clause "New" or "Revised" License
+https://github.com/kjd/idna
+Copyright (c) 2013-2026, Kim Davies and contributors. All rights reserved.
+
+importlib_metadata
+Apache License 2.0
+https://importlib-metadata.readthedocs.io
+Copyright © Jason R. Coombs
+
+jinjapython
+BSD 3-clause "New" or "Revised" License
+https://github.com/pallets/jinja
+Copyright (c) 2022 Farama Foundation
+
+joblib
+BSD 3-clause "New" or "Revised" License
+https://github.com/joblib/joblib
+Copyright (c) 2008-2021, The joblib developers. All rights reserved.
+
+kiwisolver
+BSD 3-clause "New" or "Revised" License
+https://kiwisolver.readthedocs.io/en/latest/
+Copyright (c) 2013-2026, Nucleic Development Team
+
+markdown-it-py
+MIT License
+https://github.com/executablebooks/markdown-it-py
+Copyright (c) 2020 ExecutableBookProject
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+MarkupSafe
+BSD 3-clause "New" or "Revised" License
+https://github.com/pallets/markupsafe/
+Copyright 2010 Pallets
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+matplotlib
+Python Software Foundation License 2.0
+https://matplotlib.org/
+Copyright (c) 2012- Matplotlib Development Team; All Rights Reserved
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+mdurl
+MIT License
+https://github.com/executablebooks/mdurl
+"Copyright (c) 2015 Vitaly Puzrin, Alex Kocharin.
+Copyright (c) 2021 Taneli Hukkinen"
+
+more-itertools
+MIT License
+https://github.com/erikrose/more-itertools
+Copyright (c) 2012 Erik Rose
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+mpmath
+BSD 3-clause "New" or "Revised" License
+https://github.com/mpmath/mpmath
+Copyright (c) 2005-2021 Fredrik Johansson and mpmath contributors
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+multi_process
+BSD 3-clause "New" or "Revised" License
+https://github.com/uqfoundation/multiprocess
+"Copyright (c) 2008-2016 California Institute of Technology.
+Copyright (c) 2016-2026 The Uncertainty Quantification Foundation."
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+multidict
+Apache License 2.0
+https://github.com/aio-libs/multidict/
+Copyright aio-libs contributors
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+NetworkX
+BSD 3-clause "New" or "Revised" License
+https://networkx.github.io/
+Copyright (C) 2004-2025 Aric Hagberg, Dan Schult, Ben North, and NetworkX Developers
+
+NumPy
+BSD 3-clause "New" or "Revised" License
+https://github.com/numpy/numpy/tree/v2.2.6
+Copyright (c) 2005-2024, NumPy Developers.
+
+Packaging
+(BSD 2-clause "Simplified" License AND Apache License 2.0)
+https://github.com/pypa/packaging
+Copyright (c) Donald Stufft and individual contributors.
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+Packaging
+(BSD 2-clause "Simplified" License OR Apache License 2.0)
+https://github.com/pypa/packaging
+Copyright (c) Donald Stufft and individual contributors. All rights reserved.
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+pandas-python
+BSD 3-clause "New" or "Revised" License
+https://pandas.pydata.org
+"Copyright (c) 2008-2011, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development TeamAll rights reserved.
+
+Copyright (c) 2011-2023, Open source contributors."
+
+PillowPython
+MIT-CMU License
+https://github.com/python-pillow/Pillow
+"Copyright © 1997-2011 by Secret Labs AB
+Copyright © 1995-2011 by Fredrik Lundh and contributors"
+
+pip
+MIT License
+http://www.pip-installer.org/
+Copyright (c) 2008-present The pip developers (see AUTHORS.txt file)
+
+platformdirs
+MIT License
+https://github.com/platformdirs/platformdirs
+Copyright (c) 2010-202x The platformdirs developers
+
+psf-requests
+Apache License 2.0
+https://github.com/psf/requests
+Copyright 2019 Kenneth Reitz
+
+py-filelock
+MIT License
+https://github.com/benediktschmitt/py-filelock
+Copyright (c) 2025 Bernát Gábor and contributors
+
+py-filelock
+MIT License
+https://github.com/benediktschmitt/py-filelock
+Copyright (c) 2025 Bernát Gábor and contributors
+
+pyarrow
+Apache License 2.0
+https://arrow.apache.org/
+Copyright 2016-2026 The Apache Software Foundation
+
+pyarrow
+Apache License 2.0
+https://arrow.apache.org/
+Copyright 2016-2026 The Apache Software Foundation
+
+pybind11
+BSD 3-clause "New" or "Revised" License
+https://github.com/pybind/pybind11
+Copyright (c) 2016 Wenzel Jakob <wenzel.jakob@epfl.ch>, All rights reserved.
+
+pydantic
+MIT License
+https://github.com/pydantic/pydantic
+Copyright (c) 2017 to present Pydantic Services Inc. and individual contributors.
+
+pydantic-core
+MIT License
+https://github.com/pydantic/pydantic/tree/main/pydantic-core
+Copyright (c) 2022 Samuel Colvin
+
+Pygments - Python syntax highlighter
+BSD 2-clause "Simplified" License
+http://pygments.org/
+Copyright (c) 2006-2022 by the respective authors (see AUTHORS file).
+
+Pyparsing
+MIT License
+https://github.com/pyparsing/pyparsing/
+All rights reserved.
+
+pypi/setuptools
+MIT License
+https://pypi.org/project/setuptools/
+UNKNOWN
+
+Python six
+MIT License
+http://pypi.python.org/pypi/six
+Copyright (c) 2010-2024 Benjamin Peterson
+
+Python tzdata
+Apache License 2.0
+https://github.com/python/tzdata
+"Copyright (c) 2020, Paul Ganssle (Google)
+Copyright (c) 2026, Stan Ulbrych"
+
+python-attrs
+MIT License
+https://github.com/python-attrs/attrs
+Copyright (c) 2015 Hynek Schlawack and the attrs contributors
+
+python-dateutil
+(Apache License 2.0 OR BSD 3-clause "New" or "Revised" License)
+https://github.com/dateutil/dateutil
+"Copyright 2017- Paul Ganssle <paul@ganssle.io>
+
+Copyright 2017- dateutil contributors (see AUTHORS file)"
+
+python-dill
+MIT License
+https://pypi.org/project/dill/
+"Copyright (c) 2004-2016 California Institute of Technology.
+Copyright (c) 2016-2026 The Uncertainty Quantification Foundation."
+
+python-typing-extensions
+Python Software Foundation License 2.0
+https://github.com/python/typing_extensions
+2023, Guido van Rossum and others
+
+python-wheel
+MIT License
+https://bitbucket.org/dholth/wheel
+Copyright (c) 2012 Daniel Holth <dholth@fastmail.fm> and contributors
+
+python-wheel
+MIT License
+https://github.com/pypa/wheel
+Copyright (c) 2012 Daniel Holth <dholth@fastmail.fm> and contributors
+
+python3-charset-normalizer
+MIT License
+https://github.com/ousret/charset_normalizer
+Copyright (c) 2025 TAHRI Ahmed R.
+
+python3-httpcore
+BSD 3-clause "New" or "Revised" License
+https://github.com/encode/httpcore
+Copyright © 2020, Encode OSS Ltd. All rights reserved.
+
+python3-jaraco.text
+MIT License
+https://github.com/jaraco/jaraco.text
+UNKNOWN
+
+python3-mdurl
+MIT License
+https://github.com/executablebooks/mdurl
+"Copyright (c) 2015 Vitaly Puzrin, Alex Kocharin.
+
+Copyright (c) 2021 Taneli Hukkinen"
+
+python3-typer
+(MIT License AND BSD 3-clause "New" or "Revised" License)
+https://typer.tiangolo.com/
+Copyright (c) 2019 Sebastián Ramírez
+
+pytorch
+(MIT License AND BSD 2-clause "Simplified" License AND Apache License 2.0 with Exceptions AND Apache License 2.0 AND BSD 3-clause "New" or "Revised" License AND Boost Software License 1.0)
+http://pytorch.org
+"Copyright (c) 2016-     Facebook, Inc            (Adam Paszke)
+Copyright (c) 2014-     Facebook, Inc            (Soumith Chintala)
+Copyright (c) 2011-2014 Idiap Research Institute (Ronan Collobert)
+Copyright (c) 2012-2014 Deepmind Technologies    (Koray Kavukcuoglu)
+Copyright (c) 2011-2012 NEC Laboratories America (Koray Kavukcuoglu)
+Copyright (c) 2011-2013 NYU                      (Clement Farabet)
+Copyright (c) 2006-2010 NEC Laboratories America (Ronan Collobert, Leon Bottou, Iain Melvin, Jason Weston)
+Copyright (c) 2006      Idiap Research Institute (Samy Bengio)
+Copyright (c) 2001-2004 Idiap Research Institute (Ronan Collobert, Samy Bengio, Johnny Mariethoz)"
+
+PyTZ - Python Time Zone Library
+MIT License
+http://pythonhosted.org/pytz/
+Copyright (c) 2003-2019 Stuart Bishop <stuart@stuartbishop.net>
+
+PyTZ - Python Time Zone Library
+MIT License
+http://pythonhosted.org/pytz/
+Copyright (c) 2003-2019 Stuart Bishop <stuart@stuartbishop.net>
+
+PyYAML
+MIT License
+https://pyyaml.org/
+"Copyright (c) 2017-2021 Ingy döt Net
+Copyright (c) 2006-2016 Kirill Simonov"
+
+regex
+(CNRI Python License AND Apache License 2.0)
+https://github.com/mrabarnett/mrab-regex
+"copyright (c) 1998-2001 by Secret Labs AB and licensed under CNRI's Python 1.6
+license."
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+safetensors
+Apache License 2.0
+https://huggingface.co/docs/safetensors
+UNKNOWN
+
+scikit-learn
+BSD 3-clause "New" or "Revised" License
+https://scikit-learn.org/
+Copyright (c) 2007-2024 The scikit-learn developers.
+
+SciPy
+BSD 3-clause "New" or "Revised" License
+http://www.scipy.org
+Copyright (c) 2001-2024 SciPy Developers
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+shellingham
+ISC License
+https://github.com/sarugaku/shellingham/blob/1.5.4/LICENSE
+Copyright (c) 2018, Tzu-ping Chung <uranusjr@gmail.com>
+
+shellingham
+ISC License
+https://github.com/sarugaku/shellingham/blob/1.5.4/LICENSE
+Copyright (c) 2018, Tzu-ping Chung <uranusjr@gmail.com>
+
+SymPy
+BSD 3-clause "New" or "Revised" License
+https://github.com/sympy/sympy
+"Copyright (c) 2006-2023 SymPy Development Team
+All rights reserved."
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+Textualize_rich
+MIT License
+https://rich.readthedocs.io/en/latest/
+Copyright (c) 2020 Will McGugan
+
+threadpoolctl
+BSD 3-clause "New" or "Revised" License
+https://github.com/joblib/threadpoolctl
+Copyright (c) 2019, threadpoolctl contributors
+
+tokenizers
+Apache License 2.0
+https://github.com/huggingface/tokenizers
+2020, huggingface
+
+tomli
+MIT License
+https://github.com/hukkin/tomli
+Copyright (c) 2021 Taneli Hukkinen
+
+toolz
+BSD 3-clause "New" or "Revised" License
+http://code.google.com/p/toolz
+Copyright (c) 2013 Matthew Rocklin
+
+toolz_py
+BSD 3-clause "New" or "Revised" License
+http://toolz.readthedocs.org/
+Copyright (c) 2013 Matthew Rocklin
+
+transformers
+Apache License 2.0
+https://github.com/huggingface/transformers
+Copyright 2018- The Hugging Face team. All rights reserved.
+
+transformers
+Apache License 2.0
+https://github.com/huggingface/transformers
+Copyright 2018- The Hugging Face team. All rights reserved.
+
+typer
+MIT License
+https://github.com/tiangolo/typer
+Copyright (c) 2019 Sebastián Ramírez
+
+typer-config
+MIT License
+https://github.com/maxb2/typer-config
+Copyright (c) 2023 Matthew Anderson
+
+typing-inspection
+MIT License
+https://github.com/pydantic/typing-inspection
+Copyright (c) Pydantic Services Inc. 2025 to present
+
+uqfoundation/multiprocess
+BSD 3-clause "New" or "Revised" License
+https://github.com/uqfoundation/multiprocess/
+"Copyright (c) 2008-2016 California Institute of Technology.
+Copyright (c) 2016-2026 The Uncertainty Quantification Foundation. All rights reserved."
+
+urllib3
+MIT License
+https://github.com/urllib3/urllib3/tree/2.7.0
+Copyright (c) 2008-2020 Andrey Petrov and contributors.
+
+xxhash
+BSD 2-clause "Simplified" License
+https://github.com/ifduyue/python-xxhash
+Copyright (c) 2014-2026, Yue Du
+
+yarl
+Apache License 2.0
+https://github.com/aio-libs/yarl/
+Copyright 2016-2021, Andrew Svetlov and aio-libs team
+
+zipp
+MIT License
+https://github.com/jaraco/zipp
+UNKNOWN
+
+
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README.md

@@ -0,0 +1,166 @@
+---
+license: other
+license_name: exaone
+license_link: LICENSE
+pipeline_tag: time-series-forecasting
+library_name: pytorch
+tags:
+  - time-series
+  - time-series-forecasting
+  - foundation-model
+  - finance
+  - attention-free
+  - zero-shot
+  - exaone
+---
+
+# EXAONE Finance
+
+**EXAONE Finance** is a time series foundation model (TSFM) built for financial
+forecasting. It replaces self-attention with two linear-time operators — a causal
+1D convolution for temporal mixing and a group-aware pooling MLP for variate
+mixing — so cost grows linearly in both sequence length and variate count. A
+masked-context augmentation makes it robust to the missing spans that are
+pervasive in financial data, and it is pretrained on a synthetic financial corpus
+whose generator reproduces heavy tails, volatility clustering, jumps, regime
+shifts, and cross-asset dependence.
+
+This repository holds the **model weights**. The **inference code** lives at
+[LGAI-Research/EXAONE-Forecast](https://github.com/LGAI-Research/EXAONE-Forecast)
+and is released under a different license — see [License](#license).
+
+- 📄 Technical report: [`EXAONE_Finance_v1.0_Technical_Report.pdf`](./EXAONE_Finance_v1.0_Technical_Report.pdf)
+- 💻 Code: https://github.com/LGAI-Research/EXAONE-Forecast
+
+## Model Configuration
+
+| | |
+|---|---|
+| Parameters | 202M |
+| Encoder blocks | 12 |
+| Hidden dimension / FFN | 1024 / 4096 |
+| Temporal mixing | Causal 1D CNN — 512 channels, kernel 7, 2 conv layers per block |
+| Variate mixing | Group-aware pooling MLP — hidden dimension 512 |
+| Patch size (input = output) | 16 |
+| Context length | 512 |
+| Maximum horizon | 2048 |
+| Output | 21 quantile levels (0.01, 0.05, 0.10, …, 0.95, 0.99) |
+| Attention layers | none |
+| Precision | float32 |
+
+## Evaluation Results
+
+Zero-shot results on **FinVerse**, a financial forecasting benchmark spanning FX,
+commodities, crypto-assets, fixed income, equities, ETFs, and macroeconomic
+indicators. Models are ranked per (tier, spec, metric) cell; *Avg. Rank* is the
+geometric mean of per-cell ranks and *Rank Sum* is the sum of the three per-tier
+placements (lower is better). 44 models were scored on identical windows.
+
+| # | Model | Tier 1 (Point) | Avg. Rank | Tier 2 (IC) | Avg. Rank | Tier 3 (Portfolio) | Avg. Rank | Rank Sum |
+|---|---|---|---|---|---|---|---|---|
+| **1** | **EXAONE Finance** | **1** | **6.53** | **1** | **7.45** | **1** | **7.43** | **3** |
+| 2 | Chronos-2 (Synthetic) | 9 | 11.68 | 3 | 8.74 | 2 | 9.90 | 14 |
+| 3 | Reverso (Small) | 6 | 9.60 | 2 | 8.64 | 6 | 13.04 | 14 |
+| 4 | TiRex-1.1 | 2 | 6.98 | 4 | 9.71 | 14 | 15.76 | 20 |
+| 5 | Chronos-2 | 8 | 10.14 | 13 | 16.12 | 9 | 15.17 | 30 |
+
+The three tiers score complementary objectives: **Tier 1** point accuracy (MASE,
+hit rate), **Tier 2** cross-sectional ranking skill (information coefficient), and
+**Tier 3** realized portfolio performance (return, Sharpe, volatility, maximum
+drawdown). EXAONE Finance ranks first in all three for a perfect rank sum of 3,
+ahead of the strongest baseline at 14, and is the only model that wins its
+head-to-head comparison against all 43 baselines (per-opponent win rate
+0.51–0.90). At 202M parameters it sits on the Pareto frontier, outperforming
+models more than an order of magnitude larger. Full protocol and results are in
+the technical report.
+
+## Requirements
+
+- Python ≥ 3.9
+- PyTorch ≥ 2.0 (a CUDA build is recommended; CPU works for small workloads)
+
+## Quickstart
+
+```bash
+pip install "exaone-forecast[finance] @ git+https://github.com/LGAI-Research/EXAONE-Forecast.git"
+```
+
+```python
+import numpy as np
+from exaone_forecast.finance import from_pretrained
+
+fc = from_pretrained(device="cuda:0")     # downloads these weights on first use
+
+series = [np.random.randn(500).cumsum() + 100 for _ in range(4)]
+
+q = fc.predict(series, horizon=20)                       # (4, 21, 20) quantiles
+yhat = fc.point(series, horizon=20)                      # (4, 20) median forecast
+lo, hi = fc.interval(series, horizon=20, lower=0.1, upper=0.9)
+```
+
+Inputs may be a single 1D series, a list of 1D arrays of differing lengths, or a
+2D `(n_series, T)` array. Feed values on their natural scale — the model
+normalizes internally and reads only the last `context_length` (512) points.
+Missing observations are supported: encode them as `np.nan`.
+
+## Available checkpoints
+
+| Name | File | Parameters |
+|---|---|---|
+| `default` | `exaone-finance-1.0.safetensors` | 202M |
+
+`config.json` accompanies the weights and describes the architecture.
+
+## Intended use
+
+Zero-shot probabilistic forecasting of financial and other real-valued time
+series, for research and educational purposes. Each series is forecast from its
+own recent history; no per-dataset training is required.
+
+## Limitations
+
+- Results are reported on a financial benchmark; broad general-domain
+  benchmarking is future work.
+- Only zero-shot performance is reported. Fine-tuning and ensembling are untested.
+- In this release every series is treated as an individual channel. The
+  group-aware mixer supports richer cross-series grouping, which is not exercised
+  by this checkpoint.
+- Forecasts are statistical outputs, not financial advice. Do not use them as the
+  sole basis for an investment decision.
+
+## License
+
+The model weights in this repository are released under the **EXAONE AI Model
+License Agreement 1.2 - NC** ([`LICENSE`](./LICENSE)), which limits use to
+non-commercial research and education.
+
+The inference code at
+[LGAI-Research/EXAONE-Forecast](https://github.com/LGAI-Research/EXAONE-Forecast)
+is licensed separately under the BSD-3-Clause-LG AI Research License, which
+permits commercial use. Installing that package does not grant commercial rights
+to the weights it downloads.
+
+Third-party open source components and their licenses are listed in
+[Notice.md](./Notice.md).
+
+## Citation
+
+```bibtex
+@techreport{lgai2026exaoneforecastfinance,
+  title       = {EXAONE Forecast for Finance: An Attention-free Time Series Foundation Model for Financial Time Series},
+  author      = {Lee, Seunghan and Lee, Jaehoon and Seo, Jun and Lim, Tae Yoon and
+                 Kang, Dongwan and Choi, Hwanil and Kim, Minjae and Yoo, Sungdong and
+                 Kang, Junhyeok and Han, Sangjun and Lee, Soonyoung and Ahn, Wonbin},
+  year        = {2026},
+  institution = {LG AI Research},
+  note        = {Technical Report}
+}
+```
+
+> The technical report refers to this model by its full name,
+> **EXAONE Forecast for Finance**. **EXAONE Finance** is the short form used on
+> the Hub and in the code.
+
+## Contact
+
+LG AI Research — https://www.lgresearch.ai

config.json

@@ -0,0 +1,61 @@
+{
+  "architectures": [
+    "EXAONEFinance"
+  ],
+  "cnn_channels": 512,
+  "cnn_kernel_size": 7,
+  "cnn_num_conv_layers": 2,
+  "d_ff": 4096,
+  "d_kv": 64,
+  "d_model": 1024,
+  "dense_act_fn": "relu",
+  "dropout_rate": 0.1,
+  "dtype": "float32",
+  "feed_forward_proj": "relu",
+  "forecasting_config": {
+    "context_length": 512,
+    "input_patch_size": 16,
+    "input_patch_stride": 16,
+    "max_output_patches": 128,
+    "output_patch_size": 16,
+    "quantiles": [
+      0.01,
+      0.05,
+      0.1,
+      0.15,
+      0.2,
+      0.25,
+      0.3,
+      0.35,
+      0.4,
+      0.45,
+      0.5,
+      0.55,
+      0.6,
+      0.65,
+      0.7,
+      0.75,
+      0.8,
+      0.85,
+      0.9,
+      0.95,
+      0.99
+    ],
+    "time_encoding_scale": 512,
+    "use_arcsinh": true,
+    "use_reg_token": true
+  },
+  "initializer_factor": 0.05,
+  "is_gated_act": false,
+  "layer_norm_epsilon": 1e-06,
+  "mlp_variate_dim": 512,
+  "model_type": "t5",
+  "num_groups": 16,
+  "num_heads": 16,
+  "num_layers": 12,
+  "pad_token_id": 0,
+  "reg_token_id": 1,
+  "rope_theta": 10000.0,
+  "transformers_version": "4.57.6",
+  "vocab_size": 2
+}

exaone-finance-1.0.safetensors

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+size 809297128