ilotoki_thu
/
alpaca_lora_4bit
2
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

Update README.md

This commit is contained in:
John Smith 2023-03-28 20:44:02 +08:00 committed by GitHub
parent bff039de95
commit ac07457473
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 2 additions and 15 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

17
README.md
View File

@ -1,30 +1,17 @@
# 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.
<br>
* Install Manual by s4rduk4r: https://github.com/s4rduk4r/alpaca_lora_4bit_readme/blob/main/README.md (**NOTE:** don't use the install script, use the requirements.txt instead.)
<br>
* Install Manual by s4rduk4r: https://github.com/s4rduk4r/alpaca_lora_4bit_readme/blob/main/README.md (**NOTE:** don't use the install script, use the requirements.txt instead.)
* Also Remember to create a venv if you do not want the packages be overwritten.
<br>
# Update Logs
* Resolved numerically unstable issue
<br>
* Reconstruct fp16 matrix from 4bit data and call torch.matmul largely increased the inference speed.
<br>
* Added install script for windows and linux.
<br>
* 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)
<br>
* Added install manual by s4rduk4r
<br>
* Added pip install support by sterlind, preparing to merge changes upstream
<br>
* Add V2 model support (with groupsize, both inference + finetune)
# Requirements
gptq-for-llama: https://github.com/qwopqwop200/GPTQ-for-LLaMa<br>