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fractalyzer/wordpipe-nemotron-fast-fp32-projected
wordpipe-nemotron-fast-fp32-projected is a automatic speech recognition model from fractalyzer. Use it when you need speech turned into text. It is set up for onnx. The card lists the license as openmdw-1.1.
This repository contains a Wordpipe-specialized ONNX profile derived from nvidia/nemotron-3.5-asr-streaming-0.6b. NVIDIA is the upstream model developer. Wordpipe adds export, graph specialization, packaging, and loca…
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From the Hugging Face model README
This repository contains a Wordpipe-specialized ONNX profile derived from
nvidia/nemotron-3.5-asr-streaming-0.6b.
NVIDIA is the upstream model developer. Wordpipe adds export, graph
specialization, packaging, and local desktop runtime integration; this profile
is not a separately trained checkpoint.
This repository publishes the fast Wordpipe profile:
fp32-projectedIt is consumed by Wordpipe with:
wordpipe model-install --profile fast --prebuilt-repo fractalyzer/wordpipe-nemotron-fast-fp32-projected
The repository root contains the runtime ONNX profile files:
tokenizer.model
encoder.onnx
encoder.onnx.data # when the encoder uses external ONNX data
decoder_joint.onnx
decoder_joint.onnx.data # when the decoder uses external ONNX data
config.json # when produced by the build pipeline
wordpipe-model-profiles-manifest.json records file sizes, SHA-256 hashes,
source directories used when publishing, and the Wordpipe build profile.
MODEL_SPEC.md documents the graph specializations, runtime ABI assumptions,
and bundled reproducibility scripts used to derive these artifacts.
These artifacts are intended for local Wordpipe desktop dictation on Linux. They are optimized for the Wordpipe Parakeet/Nemotron runtime layout and are not a general NeMo checkpoint replacement.
Wordpipe validates candidate profiles with local WER and real-time-factor tests before promotion. Current Wordpipe release validation is primarily English LibriSpeech-based unless a release explicitly says otherwise. See the Wordpipe project documentation and release notes for the exact benchmark set used for a given upload. Do not read the upstream NVIDIA FLEURS numbers as measurements of these transformed artifacts.
This profile is packaged for CPU-oriented Wordpipe usage and may not match NeMo's standard runtime interface. The compact profile intentionally publishes the ONNX graph; the Wordpipe installer converts it to ORT format locally for startup-time behavior.
The upstream model card states that use of
nvidia/nemotron-3.5-asr-streaming-0.6b is governed by the OpenMDW 1.1 license.
Review the upstream NVIDIA model card and OpenMDW terms before redistribution or
deployment. This repository preserves that attribution and publishes derived
inference artifacts for Wordpipe.