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Lewfkrad/Nemotron-Labs-Audex-30B-A3B-NVFP4
Nemotron-Labs-Audex-30B-A3B-NVFP4 is a audio-text-to-text model from Lewfkrad. Use it for the audio-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as other.
An independently produced hybrid NVFP4 quantization of nvidia/Nemotron-Labs-Audex-30B-A3B, created with NVIDIA Model Optimizer.
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From the Hugging Face model README
An independently produced hybrid NVFP4 quantization of
nvidia/Nemotron-Labs-Audex-30B-A3B,
created with NVIDIA Model Optimizer.
The routed MoE experts are compressed to NVFP4 while the audio system and precision-sensitive components remain in BF16. This is an experimental build, not an official NVIDIA release.
This repository mirrors the terminology used by NVIDIA's original Audex distribution:
checkpoint_folder_full - audio understanding, transcription, and AudioQA
(the "ears").checkpoint_folder_audiogen - text-to-speech and text-to-audio generation
(the "voice").audex_causal_speech_decoder - converts generated speech-codec tokens into
the final waveform.inference_scripts_vllm - task-specific vLLM inference scripts.The original root-level checkpoint_folder_full files remain temporarily for
backward compatibility. New integrations should use the canonical folder paths
above.
The AudioGen checkpoint requires enforce_eager=True with the tested vLLM
0.24.0 WSL stack. Its measured model-loading footprint was 20.96 GiB VRAM.
See audex-nvfp4-build-report.pdf for the
test commands, measurements, hashes, and qualification notes.
Research and internal experimentation with audio understanding, speech recognition, and multimodal language-model serving on NVIDIA Blackwell GPUs.
The upstream model is distributed under NVIDIA's OneWay Noncommercial License. Review the upstream license before downloading, redistributing, or deploying this derivative checkpoint. No additional commercial rights are granted here.