fix: fix lora script name in docs and update setup_minio.sh script to work...

fix: fix lora script name in docs and update setup_minio.sh script to work across HF cli package versions (#5153)

examples/backends/vllm/launch/lora/README.md

@@ -75,7 +75,7 @@ LORA_NAME="my-lora" \
 Start the Dynamo frontend and worker with LoRA support enabled:
 
 ```bash
-./agg_lora_s3.sh
+./agg_lora.sh
 ```
 
 This will:
@@ -259,7 +259,7 @@ curl -X POST http://localhost:8081/v1/loras \
 
 ### Using Different Base Models
 
-To use a different base model, modify the `--model` parameter in `agg_lora_s3.sh`:
+To use a different base model, modify the `--model` parameter in `agg_lora.sh`:
 
 ```bash
 python -m dynamo.vllm --model meta-llama/Llama-2-7b-hf --enable-lora --max-lora-rank 64
@@ -271,7 +271,7 @@ Ensure your LoRAs are compatible with the chosen base model.
 
 ### Stop Services
 
-Press `Ctrl+C` in the terminal running `agg_lora_s3.sh` to stop Dynamo services.
+Press `Ctrl+C` in the terminal running `agg_lora.sh` to stop Dynamo services.
 
 ### Stop MinIO
 

examples/backends/vllm/launch/lora/setup_minio.sh

@@ -6,6 +6,9 @@
 
 set -e
 
+# Get the directory where this script is located
+SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+
 # Colors for output
 GREEN='\033[0;32m'
 YELLOW='\033[1;33m'
@@ -25,6 +28,11 @@ LORA_NAME="${LORA_NAME:-codelion/Qwen3-0.6B-accuracy-recovery-lora}"
 # TEMP_DIR will be created using mktemp when needed
 TEMP_DIR=""
 
+# HF_CLI_CMD will be set to either "hf" or "huggingface-cli" based on huggingface-hub python package version
+# Starting from HF v0.34.0, the `huggingface-cli` command is deprecated in favor of `hf`.
+# Please refer to https://huggingface.co/blog/hf-cli for more details.
+HF_CLI_CMD=""
+
 # Parse command line arguments
 MODE="full"
 if [ "$1" = "--start" ]; then
@@ -88,8 +96,15 @@ check_dependencies() {
         exit 1
     fi
 
-    if ! command -v huggingface-cli &> /dev/null; then
-        echo "Error: huggingface-cli is not installed. Install with: pip install huggingface-hub"
+    # Check for either hf or huggingface-cli
+    if command -v hf &> /dev/null; then
+        HF_CLI_CMD="hf"
+        print_success "Found Hugging Face CLI: hf ($(hf version))"
+    elif command -v huggingface-cli &> /dev/null; then
+        HF_CLI_CMD="huggingface-cli"
+        print_success "Found Hugging Face CLI: huggingface-cli ($(huggingface-cli version))"
+    else
+        echo "Error: Neither 'hf' nor 'huggingface-cli' is installed. Install with: pip install huggingface-hub[cli]"
         exit 1
     fi
 
@@ -165,11 +180,16 @@ download_lora_from_hf() {
     # Create temporary directory using mktemp (global variable for cleanup)
     TEMP_DIR=$(mktemp -d -t lora_download_XXXXXX)
 
-    # Download LoRA adapter files
-    print_info "Downloading adapter files..."
-    huggingface-cli download "${HF_LORA_REPO}" \
-        --local-dir "${TEMP_DIR}" \
-        --local-dir-use-symlinks False
+    # Download LoRA adapter files using the detected CLI
+    print_info "Downloading adapter files using ${HF_CLI_CMD}..."
+    if [ "${HF_CLI_CMD}" = "huggingface-cli" ]; then
+        huggingface-cli download "${HF_LORA_REPO}" \
+            --local-dir "${TEMP_DIR}" \
+            --local-dir-use-symlinks False
+    else
+        hf download "${HF_LORA_REPO}" \
+            --local-dir "${TEMP_DIR}"
+    fi
 
     print_success "LoRA downloaded to ${TEMP_DIR}"
 
@@ -292,7 +312,7 @@ full_setup() {
     echo ""
     echo "Next steps:"
     echo "  1. Run the Dynamo service with LoRA support:"
-    echo "     ./agg_lora_s3.sh"
+    echo "     ${SCRIPT_DIR}/agg_lora.sh"
     echo ""
     echo "  2. Load the LoRA adapter:"
     echo "     curl -X POST http://localhost:8081/v1/loras \\"