pip install -r requirements.txt
To run fine-tuning in this repo, you can run:
python finetune.py \
--data_path="path/to/your/data" \
--micro_batch_size=8 \
--batch_size=128 \
--lr=3e-4 \
--epochs=3 \
--output_dir="lora-alpaca" \
--model_pretrained_name="decapoda-research/llama-30b-hf"
Your data must be structured similar to the alpaca dataset (and in JSONL format). An example can be found here.
To run Alpaca-30B interactively in this repo, you can run:
python generate.py
To run other versions of Alpaca (for example, the 7B), you can run:
python generate.py \
--path_to_lora_adapters="tloen/alpaca-lora-7b" \
--pretrained_model="decapoda-research/llama-7b-hf" \
Thank you @tloen for the intial version of this repo which I forked and made some small changes too here.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent