ML Reference 2023 B

ml_reference_2023_B.md

Machine Learning Reference

• https://github.com/huggingface/notebooks/blob/main/examples/question_answering.ipynb

• https://github.com/marella/ctransformers#documentation

• https://github.com/ggerganov/llama.cpp#quantization

• https://huggingface.co/blog/llama2#fine-tuning-with-peft

• https://huggingface.co/docs/transformers/main/model_doc/llama2

• https://huggingface.co/TheBloke/Llama-2-7B-GGUF

• https://huggingface.co/datasets/timdettmers/openassistant-guanaco

• https://huggingface.co/timdettmers/guanaco-7b

• https://www.philschmid.de/llama-2#how-to-train-llama-2

• https://github.com/facebookresearch/llama

• https://github.com/facebookresearch/llama-recipes/

• https://github.com/artidoro/qlora

• https://github.com/artidoro/qlora/blob/main/examples/guanaco_generate.py

• https://github.com/artidoro/qlora/blob/main/scripts/finetune_llama2_guanaco_7b.sh

• https://huggingface.co/arnavgrg/codealpaca-qlora

• https://colab.research.google.com/drive/1VoYNfYDKcKRQRor98Zbf2-9VQTtGJ24k?usp=sharing#scrollTo=E0Nl5mWL0k2T

• https://colab.research.google.com/drive/1kK6xasHiav9nhiRUJjPMZb4fAED4qRHb?usp=sharing

• https://huggingface.co/blog/peft

• https://colab.research.google.com/drive/1Ly01S--kUwkKQalE-75skalp-ftwl0fE#scrollTo=xb1aLHZRFrwA