add: q8_0 GGUF for NeMo-Speech.cpp

.gitattributes

@@ -38,3 +38,4 @@ Nemotron-3-Diarization.nemo.bak filter=lfs diff=lfs merge=lfs -text
 nemotron3_tts_8_open_voices.mp4 filter=lfs diff=lfs merge=lfs -text
 streaming_diarization_demo.png filter=lfs diff=lfs merge=lfs -text
 streaming_diarization_demo.gif filter=lfs diff=lfs merge=lfs -text
+*.gguf filter=lfs diff=lfs merge=lfs -text

Nemotron-3-Diarization.q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:08456d9e22cd9a323c0364d98375f3746d6e68507ebb705cd46438c534c7a3a1
+size 107012128

README.md

@@ -42,6 +42,25 @@ September 23, 2026
 
 ## How to use this model
 
+### Run locally with NeMo-Speech.cpp
+
+[NeMo-Speech.cpp](https://github.com/NVIDIA/NeMo-Speech.cpp) provides a
+lightweight native C++ runtime for local speaker diarization. After
+[installing the runtime](https://github.com/NVIDIA/NeMo-Speech.cpp#installation):
+
+```bash
+nemo-speech diarize meeting.wav
+```
+
+The same model can add word-level speaker tags to a transcription:
+
+```bash
+nemo-speech transcribe meeting.wav --diarize --json
+```
+
+See the [NeMo-Speech.cpp diarization guide](https://github.com/NVIDIA/NeMo-Speech.cpp/blob/main/docs/cli.md#diarize-audio)
+for more usage examples.
+
 ### NVIDIA NeMo Speech
 
 To train, fine-tune or perform inference with this model, install [NVIDIA NeMo Speech](https://github.com/NVIDIA-NeMo/Speech) after installing Python 3.12 or later, Cython, and a recent PyTorch version.