I tried to run h2ogpt with this command :

python generate.py --base_model=meta-llama/Meta-Llama-3.1-8B-Instruct --use_auth_token=...

and it triggered errors

The attention mask and the pad token id were not set. As a consequence, you may observe unexpected behavior. Please pass your input's `attention_mask` to obtain reliable results. Setting `pad_token_id` to `eos_token_id`:128009 for open-end generation. The attention mask is not set and cannot be inferred from input because pad token is same as eos token.As a consequence, you may observe unexpected behavior. Please pass your input's `attention_mask` to obtain reliable results. thread exception: Traceback (most recent call last): File "/Users/.../h2ogpt/src/utils.py", line 524, in run self._return = self._target(*self._args, **self._kwargs) File "/Users/.../h2ogpt/src/gen.py", line 4288, in generate_with_exceptions func(*args, **kwargs) File "/Users/.../miniconda3/envs/h2ogpt/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context return func(*args, **kwargs) File "/Users/.../miniconda3/envs/h2ogpt/lib/python3.10/site-packages/transformers/generation/utils.py", line 1727, in generate model_kwargs["attention_mask"] = self._prepare_attention_mask_for_generation( File "/Users/.../miniconda3/envs/h2ogpt/lib/python3.10/site-packages/transformers/generation/utils.py", line 493, in _prepare_attention_mask_for_generation raise ValueError( ValueError: Can't infer missing attention mask on `mps` device. Please provide an `attention_mask` or use a different device.

It worked fine when I tried to run other older models like llama2 for example.

Do you know what could be the source of this issue ?