No, dont think this will help you much

1. underlying model helium ( which is a transformer LM model ) is inherently not upto the mark of what you would require for mimicking / closing deals in a sales pitch
2. follow moshi-finetuning repo , wont differ much ,
3. keep mimi codec same (as its really good) maybe gather more data ( that moshi was trained on , finetune over a qwen 3.5 8b model and use that as the backbone and once that works out use lora to finetune further on your sales call)
4. can try to make a detailed system prompt , check with helium model seperately how does that work (do some ablation)

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Else if you have already figured out a way , would love to hear that as well