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[BUG FIX 5616904] Add transformers version restoration after PTQ for VILA #525

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[BUG FIX 5616904] Add transformers version restoration after PTQ for VILA #525

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27 changes: 27 additions & 0 deletions examples/vlm_ptq/scripts/huggingface_example.sh
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Original file line number Diff line number Diff line change
Expand Up @@ -74,6 +74,10 @@ if [ -n "$KV_CACHE_QUANT" ]; then
fi

if [[ "${MODEL_NAME,,}" == *"vila"* ]]; then
# Save current transformers version for later restoration
ORIGINAL_TRANSFORMERS_VERSION=$(pip show transformers | grep Version | cut -d' ' -f2)
echo "Current transformers version: $ORIGINAL_TRANSFORMERS_VERSION"
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@cjluo-nv cjluo-nv Nov 7, 2025

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how about we just do a check and prompt user to install the supported version (if not, exit)?


# Install required dependency for VILA
pip install -r ../vlm_ptq/requirements-vila.txt
# Clone original VILA repo
Expand Down Expand Up @@ -103,6 +107,29 @@ if [[ $TASKS =~ "quant" ]] || [[ ! -d "$SAVE_PATH" ]] || [[ ! $(ls -A $SAVE_PATH
fi
fi

# Fix model_type for VILA models (they are based on LLaVA architecture)
# VILA models need to be recognized as llava_llama for TensorRT-LLM multimodal support
if [[ "${MODEL_NAME,,}" == *"vila"* ]] && [ -f "$MODEL_CONFIG" ]; then
echo "Updating model_type in config for VILA model..."
python3 -c "
import json
with open('$MODEL_CONFIG', 'r') as f:
config = json.load(f)
if config.get('model_type') == 'llama':
config['model_type'] = 'llava_llama'
with open('$MODEL_CONFIG', 'w') as f:
json.dump(config, f, indent=4)
print('Updated model_type from llama to llava_llama in $MODEL_CONFIG')
"
fi

# Restore original transformers version immediately after PTQ for VILA models
if [[ "${MODEL_NAME,,}" == *"vila"* ]] && [ -n "$ORIGINAL_TRANSFORMERS_VERSION" ]; then
echo "Restoring original transformers version: $ORIGINAL_TRANSFORMERS_VERSION"
pip install transformers==$ORIGINAL_TRANSFORMERS_VERSION
echo "Transformers version restored successfully."
fi

if [[ "$QFORMAT" != "fp8" ]]; then
echo "For quant format $QFORMAT, please refer to the TensorRT-LLM documentation for deployment. Checkpoint saved to $SAVE_PATH."
exit 0
Expand Down