Current status: inference runs, but output gibberish

Original model: https://huggingface.co/fixie-ai/ultravox-v0_5-llama-3_2-1b

Why I do this?

Because ultravox seems to be a quite low-hanging fruit:

• It uses whisper encoder, so indeed a whole lot of code in this PR is copied from whisper.cpp
• It uses 2 matrices MLP to project from audio embd to text embd --> vision models already doing this
• It uses vanilla llama 3.2 1B model without any fine-tuning

Application of this can we quite useful. Take an example of an app that can summarize a meeting based on audio:

• Traditional audio processing pipeline is: audio --> text --> summary. Many acoustic features are lost in the audio --> text translation
• With multimodal input, the pipeline will be: audio --> summary, a lot less latency and also all audio features are retained, including pauses, music, tone, pitch, etc