Update LICENSE.txt

LICENSE

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+llamafile (Apache 2.0)
+Copyright 2023 Mozilla Foundation
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License."
+
+Cosmopolitan
+Copyright 2024 Justine Alexandra Roberts Tunney
+
+Permission to use, copy, modify, and/or distribute this software for
+any purpose with or without fee is hereby granted, provided that the
+above copyright notice and this permission notice appear in all copies.
+
+THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL
+WARRANTIES WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED
+WARRANTIES OF MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE
+AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL
+DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR
+PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER
+TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR
+PERFORMANCE OF THIS SOFTWARE.
+
+llama.cpp (MIT License)
+Copyright (c) 2023 Georgi Gerganov
+Copyright (c) 2023 Iwan Kawrakow
+Copyright (c) 2023 Jeffrey Quesnelle and Bowen Peng.
+Copyright (c) 2023 Yuji Hirose
+Copyright (c) 2022 Niels Lohmann <https://nlohmann.me>
+Copyright (c) 2022 Bjoern Hoehrmann <bjoern@hoehrmann.de>
+Copyright (c) 2017 Sean Barrett
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
+
+strftime (BSD-3)
+Copyright 1989 The Regents of the University of California
+
+*NSYNC (Apache 2.0)
+Copyright 2016 Google, Inc.
+https://github.com/google/nsync
+
+puff (zlib License)
+Copyright 2002-2013 Mark Adler
+
+Smoothsort (MIT License)
+Copyright 2011 Valentin Ochs
+Discovered by Edsger Dijkstra
+
+OpenBSD Strings (ISC)
+Copyright (c) 1998, 2015 Todd C. Miller <millert@openbsd.org>
+
+Optimized Routines (MIT License)
+Copyright 2022 ARM Limited
+
+FreeBSD libm (BSD-2 License)
+Copyright (c) 1992-2024 The FreeBSD Project.
+Copyright (c) 2005-2011 Bruce D. Evans, Steven G. Kargl, David Schultz
+Copyright (c) 2009-2013 Steven G. Kargl
+
+fdlibm (fdlibm license)
+Copyright (C) 1993 by Sun Microsystems, Inc. All rights reserved.
+
+Musl libc (MIT License)
+Copyright 2005-2014 Rich Felker, et. al.
+
+gdtoa (MIT License)
+The author of this software is David M. Gay
+Kudos go to Guy L. Steele, Jr. and Jon L. White
+Copyright (C) 1997, 1998, 2000 by Lucent Technologies
+
+OpenBSD Sorting (BSD-3)
+Copyright 1993 The Regents of the University of California
+
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+   ACCEPTABLE USE ADDENDUM
+
+   -----------------------
+
+   In addition to the terms and conditions set out above, the license
+   granted pursuant to Section 2.a is subject to your compliance with
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+--------------------------------------------------------------------------------
+https://docs.cohere.com/docs/c4ai-acceptable-use-policy
+
+     * Cohere For AI Acceptable Use Policy
+
+                  Cohere For AI Acceptable Use Policy
+
+   Suggest Edits
+
+   We believe that independent and open machine learning research is
+   vital to realizing the benefits of generative AI equitably and
+   ensuring robust assessments of risks of generative AI use.
+
+   We expect users of our models or model derivatives to comply with
+   all applicable local and international laws and regulations.
+   Additionally, you may not use or allow others to use our models or
+   model derivatives in connection with any of the following strictly
+   prohibited use cases:
+
+   Violence and harm: engaging in, promoting, or inciting violence,
+   threats, hate speech self-harm, sexual exploitation, or targeting
+   of individuals based on protected characteristics.
+
+   Harassment and abuse: engaging in, promoting, facilitating, or
+   inciting activities that harass or abuse individuals or groups.
+
+   Sexual exploitation, harm, or abuse: encouraging, facilitating, or
+   carring out any activities that exploit, abuse, or endanger
+   individuals, and particularly children, including soliciting,
+   creating, or distributing child exploitative content or Child
+   Sexual Abuse Material.
+
+   Sensitive information: collecting, disclosing, or inferring
+   health, demographic, or other sensitive personal or private
+   information about individuals without lawful authority or
+   obtaining all rights and consents required by applicable laws.
+
+   Fraud and deception: misrepresenting generated content from models
+   as human-created or allowing individuals to create false
+   identities for malicious purposes, deception, or to cause harm,
+   through methods including:
+
+     * propagation of spam, fraudulent activities such as catfishing,
+       phishing, or generation of false reviews;
+     * creation or promotion of false representations of or
+       defamatory content about real people, such as deepfakes; or
+     * creation or promotion of intentionally false claims or
+       misinformation.
+
+   Synthetic data for commercial uses: generating synthetic data
+   outputs for commercial purposes, including to train, improve,
+   benchmark, enhance or otherwise develop model derivatives, or any
+   products or services in connection with the foregoing.
+
+   Updated 4 days ago