Llama 3 (#384)

* Implement Llama 3.2

* Add Llama 3.2 files

* exclude IMDB link because stanford website seems down

.github/workflows/check-links.yml

@@ -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
 

.gitignore

@@ -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

README.md

@@ -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)

ch05/README.md

@@ -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