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alpaca_lora_4bit
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@ -7,14 +7,44 @@ Reconstruct fp16 matrix from 4bit data and call torch.matmul largely increased t
<br>
Added install script for windows and linux.
<br>
# Requirements
gptq-for-llama: https://github.com/qwopqwop200/GPTQ-for-LLaMa<br>
peft: https://github.com/huggingface/peft.git<br>
<br>
# Install
copy files from GPTQ-for-LLaMa into GPTQ-for-LLaMa path and re-compile cuda extension<br>
copy files from peft/tuners/lora.py to peft path, replace it<br>
<br>
# Finetuning
The same finetune script from https://github.com/tloen/alpaca-lora can be used.<br>
# Install
~copy files from GPTQ-for-LLaMa into GPTQ-for-LLaMa path and re-compile cuda extension~<br>
~copy files from peft/tuners/lora.py to peft path, replace it~<br>
<br>
Linux:
```
./install.sh
```
<br>
Windows:
```
./install.bat
```
<br>
# Finetune
~The same finetune script from https://github.com/tloen/alpaca-lora can be used.~<br>
After installation, this script can be used:
```
python finetune.py
```
# Inference
After installation, this script can be used:
```
python inference.py
```