Medusa models seem to be slower than the original base models

[infinitylogesh]

System Info

Thank you for adding support for Medusa. In my comparison of Medusa models versus the original base models with TGI, the latter appeared to be quicker.

I tested the below models:

• text-generation-inference/gemma-7b-it-medusa
• text-generation-inference/Mixtral-8x7B-Instruct-v0.1-medusa
• text-generation-inference/Mistral-7B-Instruct-v0.2-medusa
• FasterDecoding/medusa-vicuna-7b-v1.3 ( revision="refs/pr/1" )

Information

• Docker
• The CLI directly

Tasks

• An officially supported command
• My own modifications

Reproduction

Command used :

docker run --gpus all --shm-size 1g -p 8081:80 ghcr.io/huggingface/text-generation-inference:1.4.3 --model-id text-generation-inference/Mistral-7B-Instruct-v0.2-medusa --num-shard 1 

Hardware:

1xH100

Expected behavior

Medusa models should be faster than the original non-medusa models

[github-actions]

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