diff --git a/.gitattributes b/.gitattributes
new file mode 100644
index 0000000..a23feaf
--- /dev/null
+++ b/.gitattributes
@@ -0,0 +1,14 @@
+# Shell scripts and python run inside WSL/Linux. Checking them out with CRLF
+# breaks them at the first line: `bash: $'\r': command not found`.
+# Force LF regardless of the platform doing the checkout.
+*.sh   text eol=lf
+*.py   text eol=lf
+*.yaml text eol=lf
+*.yml  text eol=lf
+
+*.md   text
+*.html text
+
+*.ply  binary
+*.obj  binary
+*.pth  binary
diff --git a/SETUP.md b/SETUP.md
index b64ff63..abc8708 100644
--- a/SETUP.md
+++ b/SETUP.md
@@ -13,8 +13,18 @@ RTX 3090(24GB) 머신에서 SUM Parts + PointVector 학습을 재현하는 절
 |---|---|
 | OS | Windows + WSL2 (Ubuntu 22.04) 또는 네이티브 Linux |
 | GPU | RTX 3090 24GB, 드라이버가 WSL에서 인식될 것 |
-| 디스크 | 40GB 이상 여유 (데이터 13GB + 환경 + 체크포인트) |
+| 디스크 | **35GB 이상 여유** |
 | 계정 | HuggingFace 계정 (데이터 게이트 수락에 필요) |
+| 도구 | `git`, `curl` (sudo는 불필요) |
+
+디스크 내역 — 전부 이 절차가 만들어낸다:
+
+| 항목 | 크기 |
+|---|---|
+| miniconda + 환경 | 12 GB |
+| 업스트림 소스 | 1.7 GB |
+| 데이터셋 (아카이브 포함) | 18 GB |
+| 체크포인트·로그 | 1.5 GB |
 
 WSL이면 `nvidia-smi`가 WSL 안에서 GPU를 보여야 한다. 안 보이면 여기서 멈추고 드라이버부터.
 
@@ -42,10 +52,28 @@ grep -rl '/mnt/d/MYCLAUDE_PROJECT/sum-parts-test/scripts' scripts/ \
 
 ---
 
-## 2. 환경 구축 (약 40분)
+## 2. 환경 구축 (약 50분)
+
+먼저 부트스트랩. **새 머신에는 miniconda도 업스트림 소스도 없다** —
+이 레포에는 우리 스크립트만 들어 있고, 벤치마크 본체는 별도 clone이 필요하다.
 
 ```bash
-bash scripts/setup_env.sh          # conda + CUDA 11.8 + torch 2.0.1
+bash scripts/bootstrap.sh          # miniconda 설치 + 업스트림 clone + GPU 확인
+```
+
+이게 만드는 것:
+
+| 경로 | 내용 | 크기 |
+|---|---|---|
+| `~/miniconda3` | conda (sudo 불필요, $HOME에 설치) | 0.5 GB |
+| `~/sum-parts` | [SUM-Parts-Benchmarks](https://github.com/tudelft3d/SUM-Parts-Benchmarks) clone | 1.7 GB |
+
+부트스트랩 끝에 GPU 용량을 찍어준다. **24GB면 `voxel_max=64000` 가능**하다고 알려준다.
+
+이어서 환경:
+
+```bash
+bash scripts/setup_env.sh          # conda env + CUDA 11.8 + torch 2.0.1
 bash scripts/setup_pointnext.sh    # 의존성 + CUDA 확장 5종 빌드
 ```
 
diff --git a/scripts/bootstrap.sh b/scripts/bootstrap.sh
new file mode 100644
index 0000000..7a459d7
--- /dev/null
+++ b/scripts/bootstrap.sh
@@ -0,0 +1,68 @@
+#!/usr/bin/env bash
+# SUM Parts - bring a bare machine to the point where setup_env.sh can run
+#
+# setup_env.sh and setup_pointnext.sh both assume two things already exist:
+#   ~/miniconda3   (they call conda directly)
+#   ~/sum-parts    (the upstream benchmark clone they build inside)
+#
+# On a fresh machine neither is there, so this runs first. Idempotent: an
+# existing miniconda or clone is left alone.
+#
+# No sudo anywhere. Miniconda installs to $HOME, and the CUDA toolkit comes
+# from conda rather than apt, so this works on locked-down machines.
+set -euo pipefail
+
+CONDA_ROOT="$HOME/miniconda3"
+REPO_DIR="$HOME/sum-parts"
+UPSTREAM="https://github.com/tudelft3d/SUM-Parts-Benchmarks.git"
+
+echo "=== [1/3] miniconda ==="
+if [ -x "$CONDA_ROOT/bin/conda" ]; then
+    echo "  present: $($CONDA_ROOT/bin/conda --version)"
+else
+    echo "  installing to $CONDA_ROOT"
+    TMP=$(mktemp -d)
+    curl -fsSL -o "$TMP/miniconda.sh" \
+        https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
+    bash "$TMP/miniconda.sh" -b -p "$CONDA_ROOT"
+    rm -rf "$TMP"
+    echo "  installed: $($CONDA_ROOT/bin/conda --version)"
+fi
+
+echo
+echo "=== [2/3] upstream benchmark repo ==="
+if [ -d "$REPO_DIR/.git" ]; then
+    echo "  present: $REPO_DIR ($(cd "$REPO_DIR" && git log --oneline -1))"
+else
+    echo "  cloning $UPSTREAM"
+    git clone --depth 1 "$UPSTREAM" "$REPO_DIR"
+    echo "  cloned: $(cd "$REPO_DIR" && git log --oneline -1)"
+fi
+
+BUNDLE="$REPO_DIR/semantic_segmentation/PointNeXt_bundle"
+if [ ! -d "$BUNDLE" ]; then
+    echo "error: $BUNDLE missing -- upstream layout changed?" >&2
+    exit 1
+fi
+echo "  bundle: $BUNDLE"
+
+echo
+echo "=== [3/3] GPU visible ==="
+if ! command -v nvidia-smi > /dev/null; then
+    echo "  WARNING: nvidia-smi not found. On WSL2 this means the driver is not"
+    echo "  exposing the GPU; fix that before continuing -- nothing below works"
+    echo "  without it."
+else
+    nvidia-smi --query-gpu=name,memory.total,driver_version --format=csv,noheader
+    TOTAL=$(nvidia-smi --query-gpu=memory.total --format=csv,noheader,nounits | head -1)
+    echo
+    if [ "$TOTAL" -ge 20000 ]; then
+        echo "  ${TOTAL} MiB -- the paper setting voxel_max=64000 (needs ~16.5 GB) fits."
+    else
+        echo "  ${TOTAL} MiB -- voxel_max=64000 needs ~16.5 GB and will NOT fit."
+        echo "  Use scripts/sweep_voxel_max.sh to find the largest value that does."
+    fi
+fi
+
+echo
+echo "BOOTSTRAP DONE -- next: bash scripts/setup_env.sh"