Issue for token
OSError: There was a specific connection error when trying to load meta-llama/Llama-3.1-8B:
401 Client Error: Unauthorized for url: https://huggingface.co/meta-llama/Llama-3.1-8B/resolve/main/config.json (Request ID: Root=1-68496c82-303beea64efffacb28113501;47fd030e-0fb0-4d73-b708-0558539837fd)
Invalid credentials in Authorization header
Hypothesis
The traceback indicates an OSError with a 401 Client Error: Unauthorized. This error occurs when the code attempts to download the configuration file (config.json) for the meta-llama/Llama-3.1-8B model from the Hugging Face Hub.
The specific error message, "Invalid credentials in Authorization header", strongly suggests that the user does not have the necessary permissions or has not provided the correct authentication token to access this specific model.
The meta-llama/Llama-3.1-8B model is a gated model, meaning access requires agreeing to its terms of service and having a valid Hugging Face account with a generated access token. Although the user has called huggingface_hub.login(), which would prompt for a token or use an existing one, the error indicates the provided credentials were not sufficient or valid for this particular model.
Suggested Changes
To fix this error, you need to ensure you have agreed to the terms of service for the Llama 3.1 model on the Hugging Face Hub and that your Hugging Face token has the necessary permissions.
Accept the terms of service: Go to the model page on the Hugging Face Hub (https://huggingface.co/meta-llama/Llama-3.1-8B) and make sure you have accepted the usage agreement.
Verify your token: Ensure the token you are using with huggingface_hub.login() is correct and has read access. You can generate a new token in your Hugging Face account settings under "Access Tokens".
If you have already accepted the terms and are using the correct token, the issue might be with how the token is being provided or stored. You could explicitly pass the token to the from_pretrained methods.