Converted PrefixLM HF snapshot must enable cache for generation in config

[timsteuer]

Environment

• llmfoundry:latest

To reproduce

Steps to reproduce the behavior:

1. Train a prefix-lm
2. Convert it to Huggingface via llm-foundry/scripts/inference/convert_composer_to_hf.py
3. Try to generate texts with the HF snapshot

-> When generating, the model throws an exception that use_cache must be enabled in the HF config.

Expected behavior

Model generates output texts. Manually editing the HF config and enabling the cache did the trick for me.

[dakinggg]

use_cache is something that you can specify at model load time as a kwarg, or at generation time as a kwarg. We can probably make some adjustments to make this more automatic. Thanks!

[timsteuer]

Thanks for clarifying.

The key argument for having it set to true in the config by default is that generating with use_cache=false results in an exception anyway.

I guess the easiest way would be to adjust the conversion script accordingly.