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Llama 3 (#384)

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* Implement Llama 3.2

* Add Llama 3.2 files

* exclude IMDB link because stanford website seems down
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Sebastian Raschka 2024-10-05 07:52:15 -05:00 committed by GitHub
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4 changed files with 6 additions and 2 deletions
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2
.github/workflows/check-links.yml vendored
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@ -29,6 +29,6 @@ jobs:
- name: Check links
run: |
pytest --check-links ./ --check-links-ignore "https://platform.openai.com/*" --check-links-ignore "https://openai.com/*" --check-links-ignore "https://arena.lmsys.org" --check-links-ignore "https://www.reddit.com/r/*"
pytest --check-links ./ --check-links-ignore "https://platform.openai.com/*" --check-links-ignore "https://openai.com/*" --check-links-ignore "https://arena.lmsys.org" --check-links-ignore "https://www.reddit.com/r/*" --check-links-ignore "https://ai.stanford.edu/~amaas/data/sentiment/"
# pytest --check-links ./ --check-links-ignore "https://platform.openai.com/*" --check-links-ignore "https://arena.lmsys.org" --retries 2 --retry-delay 5

3
.gitignore vendored
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@ -38,6 +38,9 @@ ch05/06_user_interface/gpt2
ch05/07_gpt_to_llama/Llama-2-7b
ch05/07_gpt_to_llama/Llama-2-7b-chat
ch05/07_gpt_to_llama/.cache
ch05/07_gpt_to_llama/llama3-files
ch05/07_gpt_to_llama/llama31-files
ch05/07_gpt_to_llama/llama32-files
ch06/01_main-chapter-code/gpt2
ch06/02_bonus_additional-experiments/gpt2

1
README.md
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@ -117,6 +117,7 @@ Several folders contain optional materials as a bonus for interested readers:
- [Optimizing Hyperparameters for Pretraining](ch05/05_bonus_hparam_tuning)
- [Building a User Interface to Interact With the Pretrained LLM](ch05/06_user_interface)
- [Converting GPT to Llama](ch05/07_gpt_to_llama)
- [Llama 3.2 From Scratch](ch05/07_gpt_to_llama/standalone-llama32.ipynb)
- **Chapter 6:**
- [Additional experiments finetuning different layers and using larger models](ch06/02_bonus_additional-experiments)
- [Finetuning different models on 50k IMDB movie review dataset](ch06/03_bonus_imdb-classification)

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ch05/README.md
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@ -11,4 +11,4 @@
- [04_learning_rate_schedulers](04_learning_rate_schedulers) contains code implementing a more sophisticated training function including learning rate schedulers and gradient clipping
- [05_bonus_hparam_tuning](05_bonus_hparam_tuning) contains an optional hyperparameter tuning script
- [06_user_interface](06_user_interface) implements an interactive user interface to interact with the pretrained LLM
- [07_gpt_to_llama](07_gpt_to_llama) contains a step-by-step guide for converting a GPT architecture implementation to Llama and loads pretrained weights from Meta AI
- [07_gpt_to_llama](07_gpt_to_llama) contains a step-by-step guide for converting a GPT architecture implementation to Llama 3.2 and loads pretrained weights from Meta AI