r/LocalLLaMA · · 1 min read

nvidia/Nemotron-Labs-Audex-30B-A3B · Hugging Face

Mirrored from r/LocalLLaMA for archival readability. Support the source by reading on the original site.

nvidia/Nemotron-Labs-Audex-30B-A3B · Hugging Face

Introduction

We're excited to introduce Nemotron-Labs-Audex-30B-A3B, a unified audio-text LLM built on Nemotron-Cascade-2-30B-A3B, a strong text-only MoE LLM with 30B MoE model with 3B activated parameters. Audex-30B-A3B extends the vocabulary for discrete audio tokens used for speech and general audio outputs, as well as an audio encoder for speech and general audio inputs. Audex-30B-A3B delivers strong abilities on audio tasks (audio understanding, speech recognition and translation, text-to-speech, audio generation, and speech-to-speech generation) while preserving very compelling reasoning, alignment, knowledge, long-context, and agentic capabilities of its text-only LLM backbone with marginal or no regression. Audex-30B-A3B operates in both thinking and instruct (non-thinking) modes.

Quick Start

  • Audex-30B-A3B follows the ChatML template and supports both thinking and instruct (non-thinking) modes. Reasoning content is enclosed within <think> and </think> tags. To activate the instruct (non-thinking) mode, we prepend <think></think> to the beginning of the assistant’s response.
  • Audex-30B-A3B supports up to a 1M-token context length.
  • Audex-30B-A3B follows Nemotron-Cascade-2 on text evaluation.
  • Audex-30B-A3B has different recommended inference setups per audio-related task as described below.

Check Model card for so much benchmarks.

Additional model:

https://huggingface.co/nvidia/Nemotron-Labs-Audex-2B

submitted by /u/pmttyji
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