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KeelCore
Copyright (c) 2026 Saravanan A R. All rights reserved.
https://github.com/saravanan-a-r/KeelCore

KeelCore is a base model for LoRA adapters. The EchoMeBetter browser
extension runs it together with its adapters, on your device. Both are
covered by the KeelCore License, Version 1.0 (Personal and Research Use),
dated October 28, 2026. See LICENSE. That file controls; this notice is a
summary.

Individuals may use KeelCore, at no cost, for their own writing (including
writing for their own job or studies) and for noncommercial research, only
through the official EchoMeBetter browser extension.

Commercial use, use by or for an organization, any use outside the official
extension, and purchase of the model require a separate written agreement
with the copyright holder. See COMMERCIAL_LICENSE.md.

"KeelCore" and "EchoMeBetter" are names used by the copyright holder for
this project; the license gives no right to use them (Section 6.3).

--------------------------------------------------------------------------
REQUIRED CITATION FOR RESEARCH
--------------------------------------------------------------------------

Section 4 of the license requires every publication or presentation of
research that uses KeelCore (papers, theses, reports, articles, posts,
slides, and talks) to cite the project in a reasonably prominent place.
Use one of these forms, or an equivalent one with the same information:

Plain text:

    KeelCore (2026) by Saravanan A R.
    https://github.com/saravanan-a-r/KeelCore

Academic / BibTeX citation:

    @software{keelcore2026,
      author = {Saravanan A R},
      title  = {KeelCore: A 752M Encoder-Decoder Base Model for LoRA Adapters},
      year   = {2026},
      url    = {https://github.com/saravanan-a-r/KeelCore}
    }

Citing the project does not imply that its author endorses your work.

--------------------------------------------------------------------------
TRAINING DATA ATTRIBUTION
--------------------------------------------------------------------------

The KeelCore model is pretrained on the following datasets, each used under
its own license. These attributions are given as those licenses ask; they do
not grant any right in the model (Section 15.5 of the license).

  * FineWeb-Edu, by Hugging Face.
    https://huggingface.co/datasets/HuggingFaceFW/fineweb-edu
    Open Data Commons Attribution License (ODC-By) v1.0, also subject to
    the Common Crawl Terms of Use.

  * C4 (Colossal Clean Crawled Corpus), English, as released by the Allen
    Institute for AI. https://huggingface.co/datasets/allenai/c4
    Open Data Commons Attribution License (ODC-By) v1.0, also subject to
    the Common Crawl Terms of Use.

  * Cosmopedia, by Hugging Face.
    https://huggingface.co/datasets/HuggingFaceTB/cosmopedia
    Apache License 2.0.

  * PG-19, by DeepMind, books from Project Gutenberg published before 1919.
    https://github.com/google-deepmind/pg19
    Apache License 2.0.

  * GitHub Code Clean, by CodeParrot, permissively licensed subsets only
    (MIT, Apache-2.0 and BSD-3-Clause source files).
    https://huggingface.co/datasets/codeparrot/github-code-clean

  * tldr-pages, by the tldr-pages contributors.
    https://github.com/tldr-pages/tldr
    Creative Commons Attribution 4.0 International (CC BY 4.0).

  * cheat/cheatsheets, by the cheat contributors.
    https://github.com/cheat/cheatsheets
    CC0 1.0 Universal.

	KeelCore
	Copyright (c) 2026 Saravanan A R. All rights reserved.
	https://github.com/saravanan-a-r/KeelCore

	KeelCore is a base model for LoRA adapters. The EchoMeBetter browser
	extension runs it together with its adapters, on your device. Both are
	covered by the KeelCore License, Version 1.0 (Personal and Research Use),
	dated October 28, 2026. See LICENSE. That file controls; this notice is a
	summary.

	Individuals may use KeelCore, at no cost, for their own writing (including
	writing for their own job or studies) and for noncommercial research, only
	through the official EchoMeBetter browser extension.

	Commercial use, use by or for an organization, any use outside the official
	extension, and purchase of the model require a separate written agreement
	with the copyright holder. See COMMERCIAL_LICENSE.md.

	"KeelCore" and "EchoMeBetter" are names used by the copyright holder for
	this project; the license gives no right to use them (Section 6.3).

	--------------------------------------------------------------------------
	REQUIRED CITATION FOR RESEARCH
	--------------------------------------------------------------------------

	Section 4 of the license requires every publication or presentation of
	research that uses KeelCore (papers, theses, reports, articles, posts,
	slides, and talks) to cite the project in a reasonably prominent place.
	Use one of these forms, or an equivalent one with the same information:

	Plain text:

	KeelCore (2026) by Saravanan A R.
	https://github.com/saravanan-a-r/KeelCore

	Academic / BibTeX citation:

	@software{keelcore2026,
	author = {Saravanan A R},
	title = {KeelCore: A 752M Encoder-Decoder Base Model for LoRA Adapters},
	year = {2026},
	url = {https://github.com/saravanan-a-r/KeelCore}
	}

	Citing the project does not imply that its author endorses your work.

	--------------------------------------------------------------------------
	TRAINING DATA ATTRIBUTION
	--------------------------------------------------------------------------

	The KeelCore model is pretrained on the following datasets, each used under
	its own license. These attributions are given as those licenses ask; they do
	not grant any right in the model (Section 15.5 of the license).

	* FineWeb-Edu, by Hugging Face.
	https://huggingface.co/datasets/HuggingFaceFW/fineweb-edu
	Open Data Commons Attribution License (ODC-By) v1.0, also subject to
	the Common Crawl Terms of Use.

	* C4 (Colossal Clean Crawled Corpus), English, as released by the Allen
	Institute for AI. https://huggingface.co/datasets/allenai/c4
	Open Data Commons Attribution License (ODC-By) v1.0, also subject to
	the Common Crawl Terms of Use.

	* Cosmopedia, by Hugging Face.
	https://huggingface.co/datasets/HuggingFaceTB/cosmopedia
	Apache License 2.0.

	* PG-19, by DeepMind, books from Project Gutenberg published before 1919.
	https://github.com/google-deepmind/pg19
	Apache License 2.0.

	* GitHub Code Clean, by CodeParrot, permissively licensed subsets only
	(MIT, Apache-2.0 and BSD-3-Clause source files).
	https://huggingface.co/datasets/codeparrot/github-code-clean

	* tldr-pages, by the tldr-pages contributors.
	https://github.com/tldr-pages/tldr
	Creative Commons Attribution 4.0 International (CC BY 4.0).

	* cheat/cheatsheets, by the cheat contributors.
	https://github.com/cheat/cheatsheets
	CC0 1.0 Universal.