LLMs-from-scratch/.gitignore
Daniel Kleine 81eed9afe2
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updated RoPE statement (#423)
* updated RoPE statement

* updated .gitignore

* Update ch05/07_gpt_to_llama/converting-gpt-to-llama2.ipynb

---------

Co-authored-by: Sebastian Raschka <mail@sebastianraschka.com>
2024-10-30 08:00:08 -05:00

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# Configs and keys
ch05/07_gpt_to_llama/config.json
ch07/02_dataset-utilities/config.json
ch07/03_model-evaluation/config.json
# Graphics
appendix-D/01_main-chapter-code/1.pdf
appendix-D/01_main-chapter-code/2.pdf
appendix-D/01_main-chapter-code/3.pdf
appendix-E/01_main-chapter-code/loss-plot.pdf
ch05/01_main-chapter-code/loss-plot.pdf
ch05/01_main-chapter-code/temperature-plot.pdf
ch05/01_main-chapter-code/the-verdict.txt
ch06/01_main-chapter-code/loss-plot.pdf
ch06/01_main-chapter-code/accuracy-plot.pdf
ch07/01_main-chapter-code/loss-plot.pdf
ch07/01_main-chapter-code/loss-plot-standalone.pdf
ch07/01_main-chapter-code/loss-plot-baseline.pdf
ch07/01_main-chapter-code/loss-plot-mask-instructions.pdf
ch07/01_main-chapter-code/loss-plot-phi3-prompt.pdf
ch07/01_main-chapter-code/loss-plot-alpaca52k.pdf
# Checkpoint files
appendix-A/01_main-chapter-code/model.pth
appendix-E/01_main-chapter-code/gpt2
ch05/01_main-chapter-code/gpt2/
ch05/02_alternative_weight_loading/checkpoints
ch05/01_main-chapter-code/model.pth
ch05/01_main-chapter-code/model_and_optimizer.pth
ch05/03_bonus_pretraining_on_gutenberg/model_checkpoints
ch05/06_user_interface/gpt2
ch05/07_gpt_to_llama/.cache
ch05/07_gpt_to_llama/Llama-2-7b
ch05/07_gpt_to_llama/Llama-2-7b-chat
ch05/07_gpt_to_llama/Llama-3-8B
ch05/07_gpt_to_llama/Llama-3-8B-Instruct
ch05/07_gpt_to_llama/Llama-3.1-8B
ch05/07_gpt_to_llama/Llama-3.1-8B-Instruct
ch05/07_gpt_to_llama/Llama-3.2-1B
ch05/07_gpt_to_llama/Llama-3.2-1B-Instruct
ch05/07_gpt_to_llama/Llama-3.2-3B
ch05/07_gpt_to_llama/Llama-3.2-3B-Instruct
ch06/01_main-chapter-code/gpt2
ch06/02_bonus_additional-experiments/gpt2
ch06/03_bonus_imdb-classification/gpt2
ch07/01_main-chapter-code/gpt2-medium355M-sft-baseline.pth
ch07/01_main-chapter-code/gpt2-medium355M-sft-mask-instructions.pth
ch07/01_main-chapter-code/gpt2-medium355M-sft-phi3-prompt.pth
ch07/01_main-chapter-code/gpt2-medium355M-sft-alpaca52k.pth
ch07/01_main-chapter-code/gpt2-medium355M-sft-lora.pth
ch07/01_main-chapter-code/gpt2-medium355M-sft.pth
ch07/01_main-chapter-code/gpt2-medium355M-sft-standalone.pth
ch07/01_main-chapter-code/Smalltestmodel-sft-standalone.pth
ch07/01_main-chapter-code/gpt2/
# Datasets
appendix-E/01_main-chapter-code/sms_spam_collection.zip
appendix-E/01_main-chapter-code/sms_spam_collection
appendix-E/01_main-chapter-code/train.csv
appendix-E/01_main-chapter-code/test.csv
appendix-E/01_main-chapter-code/validation.csv
ch02/01_main-chapter-code/number-data.txt
ch05/03_bonus_pretraining_on_gutenberg/gutenberg
ch05/03_bonus_pretraining_on_gutenberg/gutenberg_preprocessed
ch06/01_main-chapter-code/sms_spam_collection.zip
ch06/01_main-chapter-code/sms_spam_collection
ch06/01_main-chapter-code/test.csv
ch06/01_main-chapter-code/train.csv
ch06/01_main-chapter-code/validation.csv
ch06/01_main-chapter-code/review_classifier.pth
ch06/02_bonus_additional-experiments/test.csv
ch06/02_bonus_additional-experiments/train.csv
ch06/02_bonus_additional-experiments/validation.csv
ch06/02_bonus_additional-experiments/sms_spam_collection.zip
ch06/02_bonus_additional-experiments/sms_spam_collection
ch06/03_bonus_imdb-classification/aclImdb/
ch06/03_bonus_imdb-classification/aclImdb_v1.tar.gz
ch06/03_bonus_imdb-classification/test.csv
ch06/03_bonus_imdb-classification/train.csv
ch06/03_bonus_imdb-classification/validation.csv
ch07/01_main-chapter-code/instruction-data-with-response-standalone.json
ch07/01_main-chapter-code/instruction-data-with-response-baseline.json
ch07/01_main-chapter-code/instruction-data-with-response-mask-instructions.json
ch07/01_main-chapter-code/loss-plot-lora.pdf
ch07/01_main-chapter-code/instruction-data-with-response-alpaca52k.json
ch07/01_main-chapter-code/instruction-data-with-response-lora.json
ch07/01_main-chapter-code/instruction-data-with-response-phi3-prompt.json
ch07/02_dataset-utilities/instruction-examples-modified.json
ch07/04_preference-tuning-with-dpo/gpt2-medium355M-sft.pth
ch07/04_preference-tuning-with-dpo/loss-plot.pdf
# Other
ch0?/0?_user_interface/.chainlit/
ch0?/0?_user_interface/chainlit.md
ch0?/0?_user_interface/.files
*.lock
# Temporary OS-related files
.DS_Store
# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
*.key
solution/
# C extensions
*.so
# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
cover/
# Translations
*.mo
*.pot
# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal
# Flask stuff:
instance/
.webassets-cache
# Scrapy stuff:
.scrapy
# Sphinx documentation
docs/_build/
# PyBuilder
.pybuilder/
target/
# Jupyter Notebook
.ipynb_checkpoints
# IPython
profile_default/
ipython_config.py
# pyenv
# For a library or package, you might want to ignore these files since the code is
# intended to run in multiple environments; otherwise, check them in:
# .python-version
# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
# install all needed dependencies.
#Pipfile.lock
# poetry
# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
# This is especially recommended for binary packages to ensure reproducibility, and is more
# commonly ignored for libraries.
# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
#poetry.lock
# pdm
# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
#pdm.lock
# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
# in version control.
# https://pdm.fming.dev/#use-with-ide
.pdm.toml
# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
__pypackages__/
# Celery stuff
celerybeat-schedule
celerybeat.pid
# SageMath parsed files
*.sage.py
# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/
# Spyder project settings
.spyderproject
.spyproject
# Rope project settings
.ropeproject
# mkdocs documentation
/site
# mypy
.mypy_cache/
.dmypy.json
dmypy.json
# Pyre type checker
.pyre/
# pytype static type analyzer
.pytype/
# Cython debug symbols
cython_debug/
# PyCharm
# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
# and can be added to the global gitignore or merged into this file. For a more nuclear
# option (not recommended) you can uncomment the following to ignore the entire idea folder.
#.idea/
# vscode
.vscode/