diff --git a/python/prompt_bench/train.sh b/python/prompt_bench/train.sh
deleted file mode 100644
index 504cb30..0000000
--- a/python/prompt_bench/train.sh
+++ /dev/null
@@ -1,45 +0,0 @@
-#!/usr/bin/env bash
-# Fine-tune Qwen 3.5 4B on bill summarization data.
-#
-# Prerequisites:
-#   1. Build the dataset:  python -m python.prompt_bench.build_finetune_dataset
-#   2. Build the image:    docker build -f python/prompt_bench/Dockerfile.finetune -t bill-finetune .
-#
-# Usage:
-#   bash python/prompt_bench/train.sh [extra flags passed to finetune.py]
-#
-# Examples:
-#   bash python/prompt_bench/train.sh
-#   bash python/prompt_bench/train.sh --epochs 5 --lr 1e-4
-#   bash python/prompt_bench/train.sh --val-split 0.15 --save-gguf
-
-set -euo pipefail
-
-IMAGE="bill-finetune"
-DATASET="$(pwd)/output/finetune_dataset.jsonl"
-OUTPUT_DIR="$(pwd)/output/qwen-bill-summarizer"
-
-if [ ! -f "$DATASET" ]; then
-    echo "Error: Dataset not found at $DATASET"
-    echo "Run: python -m python.prompt_bench.build_finetune_dataset"
-    exit 1
-fi
-
-mkdir -p "$OUTPUT_DIR"
-
-echo "Starting fine-tuning..."
-echo "  Dataset:    $DATASET"
-echo "  Output:     $OUTPUT_DIR"
-echo "  Extra args: $*"
-
-docker run --rm \
-    --device=nvidia.com/gpu=all \
-    --ipc=host \
-    -v "$OUTPUT_DIR":/workspace/output/qwen-bill-summarizer \
-    -v "$DATASET":/workspace/dataset.jsonl:ro \
-    "$IMAGE" \
-    --dataset /workspace/dataset.jsonl \
-    --output-dir /workspace/output/qwen-bill-summarizer \
-    "$@"
-
-echo "Done! Model saved to $OUTPUT_DIR"