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152a087a37
* removing unused RoPE parameters * remove redundant context_length in GQA --------- Co-authored-by: Sebastian Raschka <mail@sebastianraschka.com> |
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| .. | ||
| tests | ||
| config.json | ||
| converting-gpt-to-llama2.ipynb | ||
| converting-llama2-to-llama3.ipynb | ||
| previous_chapters.py | ||
| README.md | ||
| requirements-extra.txt | ||
| standalone-llama32-mem-opt.ipynb | ||
| standalone-llama32.ipynb | ||
Converting GPT to Llama
This folder contains code for converting the GPT implementation from chapter 4 and 5 to Meta AI's Llama architecture in the following recommended reading order:
- converting-gpt-to-llama2.ipynb: contains code to convert GPT to Llama 2 7B step by step and loads pretrained weights from Meta AI
- converting-llama2-to-llama3.ipynb: contains code to convert the Llama 2 model to Llama 3, Llama 3.1, and Llama 3.2
- standalone-llama32.ipynb: a standalone notebook implementing Llama 3.2
