python 3.8 => 3.9

README.md

@@ -120,6 +120,9 @@ Firstly, you should clone this repository and install dependencies:
 # Clone Repository
 git clone https://github.com/TUDB-Labs/multi-lora-fine-tune
 cd multi-lora-fine-tune
+# Optional but recommended
+conda create -n mlora_env python=3.9
+conda activate mlora_env
 # Install requirements
 pip install -r requirements.txt
 ```
@@ -148,7 +151,7 @@ You can run finetune through webui by following the instructions in the ‘webui
 You can also install m-LoRA into your environment:
 ```bash
 # Optional but recommended
-conda create -n mlora_env python=3.8
+conda create -n mlora_env python=3.9
 conda activate mlora_env
 # Install requirements
 pip install mlora

pyproject.toml

@@ -4,10 +4,10 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "mlora"
-version = "0.1"
+version = "0.2"
 description = "A tool for fine-tuning large language models (LLMs) using the LoRA or QLoRA methods more efficiently."
 readme = "README.md"
-requires-python = ">=3.8"
+requires-python = ">=3.9"
 classifiers = [
     "Programming Language :: Python :: 3",
     "License :: OSI Approved :: Apache Software License",
@@ -19,10 +19,12 @@ dependencies = [
     "datasets==2.14.5",
     "accelerate==0.21.0",
     "transformers==4.30.2",
-    "bitsandbytes==0.40.0",
+    "bitsandbytes==0.40.2",
     "sentencepiece==0.1.99",
     "scipy==1.10.1",
+    "protobuf==3.20.1",
     "xformers==0.0.20",
+    "huggingface_hub",
     "nltk",
     "jieba",
     "rouge",

requirements.txt

@@ -6,12 +6,12 @@ transformers==4.30.2
 bitsandbytes==0.40.2
 sentencepiece==0.1.99
 scipy==1.10.1
+protobuf==3.20.1
 xformers==0.0.20
+huggingface_hub
 nltk
 jieba
 rouge
 rouge_chinese
 flask
-peft
-protobuf==3.20.1
-huggingface_hub
+peft