Serverless Model Serving does not mount the UC Volumes FUSE path (/Volumes), so references to “/Volumes/…” inside a custom pyfunc’s model code will fail at container build or runtime. The correct pattern is to package any required files (like your GGUF) into the model artifact at log time and then load them from context.artifacts[...] in load_context() during serving.

Ref Doc - https://docs.databricks.com/aws/en/machine-learning/model-serving/model-serving-custom-artifacts