Go to file
John Smith 1719bd0ce3 fix bug 2023-03-29 08:09:40 +08:00
text-generation-webui add v2 model support 2023-03-28 20:33:55 +08:00
.gitignore Fix repos. 2023-03-25 20:16:48 -07:00
Finetune4bConfig.py update finetune data format 2023-03-28 21:45:33 +08:00
LICENSE Create LICENSE 2023-03-25 10:17:44 +08:00
README.md Update README.md 2023-03-28 20:44:02 +08:00
arg_parser.py update finetune data format 2023-03-28 21:45:33 +08:00
autograd_4bit.py fix bug 2023-03-28 21:12:51 +08:00
data.txt add data 2023-03-22 12:13:34 +08:00
finetune.py update finetune data format 2023-03-28 21:45:33 +08:00
gradient_checkpointing.py Fix repos. 2023-03-25 20:16:48 -07:00
inference.py add v2 model support 2023-03-28 20:33:55 +08:00
matmul_utils_4bit.py fix bug 2023-03-29 08:09:40 +08:00
requirements.txt fixes for most recent update 2023-03-28 10:56:35 -04:00
train_data.py fix bug 2023-03-28 21:47:22 +08:00

README.md

Alpaca Lora 4bit

Made some adjust for the code in peft and gptq for llama, and make it possible for lora finetuning with a 4 bits base model. The same adjustment can be made for 2, 3 and 8 bits.

Update Logs

  • Resolved numerically unstable issue
  • Reconstruct fp16 matrix from 4bit data and call torch.matmul largely increased the inference speed.
  • Added install script for windows and linux.
  • Added Gradient Checkpointing. Now It can finetune 30b model 4bit on a single GPU with 24G VRAM with Gradient Checkpointing enabled. (finetune.py updated) (but would reduce training speed, so if having enough VRAM this option is not needed)
  • Added install manual by s4rduk4r
  • Added pip install support by sterlind, preparing to merge changes upstream
  • Add V2 model support (with groupsize, both inference + finetune)

Requirements

gptq-for-llama: https://github.com/qwopqwop200/GPTQ-for-LLaMa
peft: https://github.com/huggingface/peft.git

Install

~copy files from GPTQ-for-LLaMa into GPTQ-for-LLaMa path and re-compile cuda extension~
~copy files from peft/tuners/lora.py to peft path, replace it~

NOTE: Install scripts are no longer needed! requirements.txt now pulls from forks with the necessary patches.

pip install -r requirements.txt

Finetune

~The same finetune script from https://github.com/tloen/alpaca-lora can be used.~

After installation, this script can be used:

python finetune.py

Inference

After installation, this script can be used:

python inference.py

Text Generation Webui Monkey Patch

Clone the latest version of text generation webui and copy all the files into ./text-generation-webui/

git clone https://github.com/oobabooga/text-generation-webui.git

Open server.py and insert a line at the beginning

import custom_monkey_patch # apply monkey patch
import gc
import io
...

Use the command to run

python server.py