こんにちは

.gitignore

@@ -31,5 +31,3 @@ hostfile
 .DS_Store
 *~
 
-# Keep lock files
-!uv.lock

.python-version

@@ -1 +0,0 @@
-3.11

README.md

@@ -5,16 +5,15 @@ Progressive training for LLMs with 8-GPU support for 松尾研LLMコンペ2025.
 ## Quick Start
 
 ```bash
-# Install uv
-curl -LsSf https://astral.sh/uv/install.sh | sh
-
 # Setup project
 git clone <repository-url>
 cd progressive-llm-training
-uv sync
+
+# Install dependencies
+pip install -r requirements.txt
 
 # Start training
-uv run scripts/train_progressive.py --config config/training_config_gemma3_1b.yaml
+python scripts/train_progressive.py --config config/training_config_gemma3_1b.yaml
 ./scripts/train_gemma3_1b_8gpu.sh --strategy deepspeed
 ```
 
@@ -27,10 +26,10 @@ uv run scripts/train_progressive.py --config config/training_config_gemma3_1b.ya
 ## Commands
 
 ```bash
-uv sync                          # Install dependencies
+pip install -r requirements.txt                                                     # Install dependencies
-uv run scripts/train_progressive.py --config config/training_config_gemma3_1b.yaml     # Single GPU
+python scripts/train_progressive.py --config config/training_config_gemma3_1b.yaml # Single GPU
 ./scripts/train_gemma3_1b_8gpu.sh --strategy deepspeed                             # 8 GPUs
-uv run pytest                    # Run tests
+pytest                                                                              # Run tests
 ```
 
 ## Key Files

docs/README.md

@@ -3,15 +3,14 @@
 ## Setup
 
 ```bash
-curl -LsSf https://astral.sh/uv/install.sh | sh
+pip install -r requirements.txt
-uv sync
 ```
 
 ## Training
 
 ### Single GPU
 ```bash
-uv run scripts/train_progressive.py --config config/training_config_gemma3_1b.yaml
+python scripts/train_progressive.py --config config/training_config_gemma3_1b.yaml
 ```
 
 ### 8 GPUs

pyproject.toml

@@ -1,26 +0,0 @@
-[project]
-name = "progressive-llm-training"
-version = "0.1.0"
-description = "Progressive LLM Training for 松尾研LLMコンペ2025"
-requires-python = ">=3.9"
-
-dependencies = [
-    "torch>=2.0.0",
-    "transformers>=4.40.0",
-    "accelerate>=0.27.0",
-    "peft>=0.11.0",
-    "trl>=0.9.0",
-    "datasets>=2.18.0",
-    "bitsandbytes>=0.43.0",
-    "wandb>=0.16.0",
-    "pyyaml>=6.0",
-    "jsonlines>=4.0.0",
-    "deepspeed>=0.12.0",
-]
-
-[project.optional-dependencies]
-dev = ["pytest", "black", "isort"]
-
-[build-system]
-requires = ["hatchling"]
-build-backend = "hatchling.build"

requirements.txt

@@ -1,4 +1,3 @@
-# Use uv instead: uv sync
 torch>=2.0.0
 transformers>=4.40.0
 accelerate>=0.27.0

scripts/train_gemma3_1b_8gpu.sh

@@ -7,17 +7,11 @@ GREEN='\033[0;32m'
 YELLOW='\033[1;33m'
 NC='\033[0m' # No Color
 
-echo -e "${GREEN}Progressive LLM Training - Gemma3 1B 8GPU Launcher (uv)${NC}"
+echo -e "${GREEN}Progressive LLM Training - Gemma3 1B 8GPU Launcher${NC}"
-echo "======================================================="
+echo "=================================================="
 
-# Check if uv is available
+# Use standard python
-if command -v uv &> /dev/null; then
-    echo -e "${GREEN}Using uv for Python environment management${NC}"
-    UV_PREFIX="uv run"
-else
-    echo -e "${YELLOW}uv not found, using standard python${NC}"
 UV_PREFIX="python"
-fi
 
 # Default values
 STRATEGY="deepspeed"

scripts/train_multi_gpu.py

@@ -8,7 +8,6 @@ import os
 import sys
 import argparse
 import subprocess
-import shutil
 import torch
 from pathlib import Path
 
@@ -51,8 +50,7 @@ def launch_ddp_training(config_path, num_gpus):
     setup_environment_for_strategy("ddp")
     
     # Use torchrun for DDP
-    # Check if uv is available
+    python_cmd = ["python", "scripts/train_progressive.py"]
-    python_cmd = ["uv", "run", "scripts/train_progressive.py"] if shutil.which("uv") else ["python", "scripts/train_progressive.py"]
     
     cmd = [
         "torchrun",
@@ -106,8 +104,7 @@ use_cpu: false
     with open(config_file, "w") as f:
         f.write(accelerate_config)
     
-    # Check if uv is available
+    python_cmd = ["python", "scripts/train_progressive.py"]
-    python_cmd = ["uv", "run", "scripts/train_progressive.py"] if shutil.which("uv") else ["python", "scripts/train_progressive.py"]
     
     cmd = [
         "accelerate", "launch",
@@ -136,8 +133,7 @@ def launch_deepspeed_training(config_path, num_gpus):
     with open(hostfile, "w") as f:
         f.write(f"localhost slots={num_gpus}\n")
     
-    # Check if uv is available
+    python_cmd = ["python", "scripts/train_progressive.py"]
-    python_cmd = ["uv", "run", "scripts/train_progressive.py"] if shutil.which("uv") else ["python", "scripts/train_progressive.py"]
     
     cmd = [
         "deepspeed",

uv.lock

@@ -1,7 +0,0 @@
-# This file is automatically @generated by uv.
-# It is not intended for manual editing.
-version = 1
-requires-python = ">=3.9"
-
-# Note: This is a placeholder lock file.
-# Run `uv lock` to generate the actual lock file with resolved dependencies.