The error message implies that the compiled default libraries on the M1 don't support the model format, even though it works fine in Paperspace. The argume

The error message implies that the compiled default libraries on the M1 don't support the model format, even though it works fine in Paperspace. The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored. Traceback (most recent call last): File "/Users/fragmede/projects/llm/dolly/foo.py", line 5, in <module> instruct_pipeline = pipeline( ^^^^^^^^^ File "/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/transformers/pipelines/__init__.py", line 776, in pipeline framework, model = infer_framework_load_model( ^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/transformers/pipelines/base.py", line 271, in infer_framework_load_model raise ValueError(f"Could not load model {model} with any of the following classes: {class_tuple}.") ValueError: Could not load model databricks/dolly-v2-12b with any of the following classes: (<class 'transformers.models.auto.modeling_auto.AutoModelForCausalLM'>, <class 'transformers.models.gpt_neox.modeling_gpt_neox.GPTNeoXForCausalLM'>).