---
title: nvidia/NVIDIA-Nemotron-3.5-Transcribe-30B-A4B
url: https://recentmodel.com/models/nvidia/NVIDIA-Nemotron-3.5-Transcribe-30B-A4B/
status: just landed
published: 2026-10-07T22:50:21Z
updated: 2026-10-28T23:26:49Z
source: https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Transcribe-30B-A4B
---

# nvidia/NVIDIA-Nemotron-3.5-Transcribe-30B-A4B

Nemotron 3.5 Transcribe is an open-weight, offline speech and audio model for transcription in 40 languages, with support for recordings up to one hour and a 65,536-token context. Mixture-of-experts, 34B total, 4B active (128 experts, 6 per token). Context: 256K tokens (config). License: openmdw-1.1.


- **Org:** nvidia
- **Released:** 2026-10-07
- **Status:** just landed
- **License:** openmdw-1.1 (permissive)
- **Parameters:** 33.7B total, 4.0B active
- **Architecture:** MoE · 128 experts, 6/token · Nemotron3_5TranscribeForConditionalGeneration
- **Context:** 262,144 tokens
- **Task:** automatic-speech-recognition · audio
- **Signal:** 175 HF likes · 338 downloads

## Runs on

mixed: real files + estimate; sizing calculation, not tested.

- Q4 ~24.1 GB (estimated): 32GB GPU (5090), Mac 36GB, Mac 48GB, CPU only, 32GB RAM (slow)
- Q8 ~38.9 GB: 48GB GPU (RTX 6000 Ada / A6000), Mac 64GB (M1 Max), CPU only, 64GB RAM (slow)
- FP16 ~71.3 GB (estimated): 96GB GPU (RTX Pro 6000 Blackwell), 1× DGX Spark (128GB), 2× DGX Spark (256GB), Strix Halo 128GB unified (~96GB usable), Mac 96GB, Mac 128GB, Mac 192GB, Mac 256GB, Mac 512GB, CPU only, 128GB RAM (slow), CPU only, 256GB RAM (slow)

## Links

- [Hugging Face](https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Transcribe-30B-A4B)
- [Ollama](https://ollama.com/library/nemotron3)