Dataset Viewer issue: ConfigNamesError

#7
by qcaiml - opened

The dataset viewer is not working.

Error details:

Error code:   ConfigNamesError
Exception:    DataFilesNotFoundError
Message:      No (supported) data files found in mit-han-lab/awq-model-zoo
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 73, in compute_config_names_response
                  config_names = get_dataset_config_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 347, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1904, in dataset_module_factory
                  raise e1 from None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1885, in dataset_module_factory
                  return HubDatasetModuleFactoryWithoutScript(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1270, in get_module
                  module_name, default_builder_kwargs = infer_module_for_data_files(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 597, in infer_module_for_data_files
                  raise DataFilesNotFoundError("No (supported) data files found" + (f" in {path}" if path else ""))
              datasets.exceptions.DataFilesNotFoundError: No (supported) data files found in mit-han-lab/awq-model-zoo

cc @albertvillanova @lhoestq @severo .

Hello Team,

We have clone the github from Ryzen AI, from there they have mentioned steps to download precomputed awq weights for llama 1/2/3. However, when I have clone, it was showing that data files are not found at that location. Can you please help me to figure out this issue. I have to experiments for my research work. It will be great help from you.

Thank you

Sign up or log in to comment