Resemble AI turns Llama 2's text responses into natural, expressive speech with sub-second latency. Whether you're running Llama 2 locally, on Hugging Face, or behind your own inference stack, the integration streams tokens directly into Resemble's TTS pipeline so users hear speech as the model generates it.
Custom voice cloning means your Llama 2 agent can speak in your brand's voice, a character voice, or one you design from scratch. The combination is ideal for voice assistants, NPC dialogue, customer support bots, and any application where fast, lifelike spoken responses matter.
Pipe Llama 2's streamed tokens straight into Resemble's WebSocket TTS. Audio begins before the LLM finishes generating.
Give your Llama 2 agent a unique brand voice, persona, or character. Build voices from as little as a few minutes of reference audio.
Pass tone and emotion tags with each response. Your agent can sound calm, enthusiastic, or empathetic based on conversation context.
Run Llama 2 in any language it supports, then speak the output in 90+ languages with consistent voice identity across all of them.
Compatible with llama.cpp, Hugging Face Transformers, vLLM, and hosted inference endpoints. Cloud or on-prem deployment.
Keep Llama 2 self-hosted and route only text through Resemble's SOC 2-compliant TTS. Full control over where your data lives.
