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Releases: NVIDIA-NeMo/NeMo

NVIDIA Neural Modules 2.6.0

03 Dec 21:01
4d313cf

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Highlights

Known Issues

  • NeMo voice agent pipecat connecting issues

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ASR

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  • fixing kernel restarting when transcribing by @weiqingw4ng :: PR: #14665
  • Downgrade "datasets" library version in ASR tutorial to ensure compatibility with HF Datasets used by @KunalDhawan :: PR: #14679
  • Fixing Sortformer training tutorial notebook by @tango4j :: PR: #14680
  • Fix for "EncDecRNNTBPEModel transcribe() failed with TypeError" by @andrusenkoau :: PR: #14698
  • Force activations and weights cast to FP32 Jasper Encoder Squeeze-Excite (merge to main) by @erastorgueva-nv :: PR: #14743
  • Use lhotse dataloader for ASR models to support in-manifest channel selection for multichannel recordings by @racoiaws :: PR: #14586
  • add transducer timestamps without alignments, timestamps to streaming by @lilithgrigoryan :: PR: #14766
  • Adding bf16 Sortformer train and inference by @tango4j :: PR: #14627
  • Replace texterrors with kaldialign library by @andrusenkoau :: PR: #14775
  • fix: Use shutil.copy fallback to handle file metadata permission errors by @vipnydav :: PR: #14639
  • Add Customization Capabilities to Cache-Aware Models by @artbataev :: PR: #14757
  • Documentation for gpu-based phrase boosting by @andrusenkoau :: PR: #14800
  • Streaming decoding policies (Wait-K and AlignAtt) for Canary model by @andrusenkoau :: PR: #14765
  • Add tests for streaming buffered and cache-aware transducer models by @artbataev :: PR: #14823
  • Merge updates of Multi-Talker Parakeet Model, Modules, Dataloader and Utils PR 01 by @weiqingw4ng :: PR: #14905
  • Merge updates of Multi-Talker Parakeet - Unit tests and CI tests PR 02 by @weiqingw4ng :: PR: #14932
  • Add Parakeet Hybrid RNNT CTC BPE Model with Prompt support by @ealbasiri :: PR: #14561
  • fix notebooks by @nithinraok :: PR: #15079
  • cherry pick #15070 by @nithinraok :: PR: #15082

TTS

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NLP / NMT

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NVIDIA Neural Modules 2.5.3

10 Nov 22:46
b366d85

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Highlights

  • This release addresses known security issues. For the latest NVIDIA Vulnerability Disclosure Information visit https://www.nvidia.com/en-us/security/, for acknowledgement please reach out to the NVIDIA PSIRT team at [email protected]
  • Update nv-one-logger
  • Update ctc-segmentation

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Text Normalization / Inverse Text Normalization

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NVIDIA Neural Modules 2.5.2

27 Oct 23:25
eb3f225

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NVIDIA Neural Modules 2.5.1

22 Oct 20:06
215a87f

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Highlights

  • This release addresses known security issues. For the latest NVIDIA Vulnerability Disclosure Information visit https://www.nvidia.com/en-us/security/, for acknowledgement please reach out to the NVIDIA PSIRT team at [email protected]
  • Adds nv-one-logger
  • Adds fixes related to Megatron FSDP

Detailed Changelogs:

ASR

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  • Bump to 2.5.1 by @chtruong814 :: PR: #14898
  • Cherry pick Feat: Disk space management: for nemo install test (14822) into r2.5.0 by @chtruong814 :: PR: #14937
  • cp: Fix the load checkpointing issue -- onelogger callback gets called multiple time in some case. (14945) into r2.5.0 by @chtruong814 :: PR: #14948

25.09-alpha.rc2

07 Oct 19:58
f1ba52e

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Update lora.py

Signed-off-by: Michał Marcinkiewicz <[email protected]>

NVIDIA Neural Modules 2.5.0

07 Oct 00:36
ddcb2d6

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Highlights

  • Collections:

    • LLM
      • Nano v2 12B and 9B
    • Speech
      • New SpeechLM2 collection
      • Streaming Softformer model
      • Deprecate Confidence Ensemble models
      • parakeet-tdt-0.6b-v3 and canary-1b-v2 models
      • Added chunk inference support with .transcribe() for canary based models
      • Enable prediction of timestamps with streaming ASR
      • Improve ASR models’ invariance to padding/batch size
      • Qwen prompt format support, SALM generation fixes
      • High-level SALM model.generate API closely resembling HF models
      • SALM model initialization with time/memory optimization
      • SpeechLM2: fixed excessive padding, support on-the-fly resampling for SALM
  • Automodel and Export-Deploy functionality are available in their individual repositories respectively and deprecated in NeMo2

Detailed Changelogs:

ASR

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NLP / NMT

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Text Normalization / Inverse Text Normalization

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Bugfixes

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  • Bugfix for Hyena to the get_t function which comes up when doing longer context inference by @jstjohn :: PR: #14256
  • fix skipped cuHyena kernel while training by @farhadrgh :: PR: #14365
  • Remove flaky Evo2 dataset performance test by @jstjohn :: PR: #14371
  • Use module prefix in restore_modelopt_state by @jenchen13 :: PR: #14384

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NVIDIA Neural Modules 2.4.1

30 Sep 17:10
2919fed

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NVIDIA Neural Modules 2.3.3

25 Sep 22:10
26be5f5

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25.09-alpha.rc1

03 Oct 14:36

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[Flux] Add cuda_graph_scope and cache images ids for full iteration c…

NVIDIA Neural Modules 2.5.0rc0

03 Aug 16:50
620d2ba

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Pre-release

Prerelease: NVIDIA Neural Modules 2.5.0rc0 (2025-08-03)