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pipecat-ai/NVIDIA-NemotronLabs-VoiceChat-11B-Spark
NVIDIA-NemotronLabs-VoiceChat-11B-Spark is a audio-to-audio model from pipecat-ai. Use it for the audio-to-audio task on the model card, and read the license before you ship it in a product. The card lists the license as other.
This is a community conversion of nvidia/NVIDIA-NemotronLabs-VoiceChat-11B at immutable parent revision fb0f94eaf4d03ddc430f39565229393fa1b50c26. It is not an NVIDIA release. It targets one NVIDIA DGX Spark (GB10, Lin…
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Updated Aug 15, 2026
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From the Hugging Face model README
This is a community conversion of nvidia/NVIDIA-NemotronLabs-VoiceChat-11B at immutable parent revision fb0f94eaf4d03ddc430f39565229393fa1b50c26. It is not an NVIDIA release. It targets one NVIDIA DGX Spark (GB10, Linux ARM64) and the runtime in github.com/pipecat-ai/nemotron-voicechat-dgx-spark.
The ordinary setup path downloads this release. The source repository also contains the deterministic production conversion code, corpus selection, 100 GiB disk guard, dual clean-process conversion check, component gates, and exact reproduction command.
Production Candidate 1 passed the held-out Nano control-token gate, EarTTS decode with independent Parakeet transcription, real browser/Pipecat SmallWebRTC multi-turn tests, and function calling. Its two-frame mean passed the 80 ms cadence target and its two-frame p95 was a documented near miss near 82 ms. Browser playback uses a small adaptive jitter buffer because delivery jitter can exceed one 80 ms audio slice.
The current public runtime passed paced 12,000-frame qualification on both the downloaded artifact and a byte-identical public-source reproduction. Late-block queue slopes were 0.289 and 0.375 ms/minute, with peak implied playback debt of 382 and 400 ms respectively; the earlier linear EarTTS drift did not recur. All 18 typed turns in each successful sustained run produced non-silent audio that passed independent ASR. Sessions close gracefully at the declared model frame limit.
The qualified platform identity is:
Other hardware and software combinations are not qualified by this release.
The upstream model can self-talk, repeat canned replies, choose or skip the wrong tool, mis-speak tool results, drop transcript words, or occasionally produce a silent response. The deployment adds bounded watchdog and recovery behavior but cannot eliminate model-level errors. One retained source-runtime campaign also encountered a malformed late function-call recovery that disabled two-frame drafting and failed the queue-debt gate; a fresh-stack repeat passed. Typed input is synthesized to audio and is half-duplex with microphone input. Session length and unified-memory headroom are explicit runtime limits.
The replay metadata field runtime.image records the local image label used
when the exact calibration/evaluation tensors were captured. The label is
provenance only, is not a downloadable dependency, and is not used by the
conversion or runtime paths. Reproduction uses the pinned public source graph
and the tensor/file hashes in the release manifest.
See the source repository's known-limitations and provenance documents for the complete operational record.
This source copy includes qualification completed after immutable weight
revision a20c68547d27421c1e66bd501bf295569a0cc309 was published. It supersedes
the model-card prose frozen at that revision; the qualified weight bytes and
their signed manifest are unchanged.
The parent model and these redistributed derivatives are governed by OpenMDW-1.1; see LICENSE. NVIDIA origin and copyright notices are retained in THIRD_PARTY_NOTICES.md. This repository identifies the exact parent above and does not claim NVIDIA sponsorship or endorsement.