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16 models from 1 repositories

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silero-vad-sherpa
Silero VAD served through the sherpa-onnx backend. Uses the same ONNX weights as the dedicated silero-vad backend, loaded through sherpa-onnx's C VAD API. Pairs with the sherpa-onnx ASR entries for round-trip audio pipelines.

Repository: localaiLicense: mit

silero-vad
Silero VAD - pre-trained enterprise-grade Voice Activity Detector.

Repository: localai

silero-vad-ggml
Silero VAD - pre-trained enterprise-grade Voice Activity Detector.

Repository: localai

parakeet-cpp-moondream-ultra-f16
Moondream Ultra, F16: Moondream's post-trained derivative of NVIDIA parakeet-tdt-0.6b-v3 (TDT, 0.6B). Runs on CPU and GPU. Full-precision file, about 1.4 GB. GGUF for the parakeet-cpp backend (C++/ggml port of NVIDIA NeMo Parakeet). The model has a voice-activity-detection head, and the vad:true option cuts long audio at pauses before transcription. License CC-BY-4.0: credit Moondream and NVIDIA.

Repository: localaiLicense: cc-by-4.0

parakeet-cpp-moondream-ultra-q8_0
Moondream Ultra, Q8_0: the same model as the F16 file, quantized to 8 bits (about 0.9 GB). Runs on CPU and GPU. GGUF for the parakeet-cpp backend (C++/ggml port of NVIDIA NeMo Parakeet). The model has a voice-activity-detection head, and the vad:true option cuts long audio at pauses before transcription. License CC-BY-4.0: credit Moondream and NVIDIA.

Repository: localaiLicense: cc-by-4.0

parakeet-cpp-moondream-redux-packed
Moondream Redux, packed ternary weights (about 213 MB). Redux is Moondream's ternary-encoder derivative of NVIDIA parakeet-tdt-0.6b-v3 (TDT, 0.6B). CPU only and offline only: the library refuses to load it on a GPU backend and does not stream it. For a GPU or for streaming, use the redux-f16 or redux-q8_0 entry instead. GGUF for the parakeet-cpp backend (C++/ggml port of NVIDIA NeMo Parakeet). The model has a voice-activity-detection head, and the vad:true option cuts long audio at pauses before transcription. License CC-BY-4.0: credit Moondream and NVIDIA.

Repository: localaiLicense: cc-by-4.0

parakeet-cpp-moondream-redux-f16
Moondream Redux, dequantized to F16 (about 1.4 GB). Same model as the packed file, but it runs on any backend, including GPU, and can stream. GGUF for the parakeet-cpp backend (C++/ggml port of NVIDIA NeMo Parakeet). The model has a voice-activity-detection head, and the vad:true option cuts long audio at pauses before transcription. License CC-BY-4.0: credit Moondream and NVIDIA.

Repository: localaiLicense: cc-by-4.0

parakeet-cpp-moondream-redux-q8_0
Moondream Redux, dequantized and quantized to Q8_0 (about 0.9 GB). Runs on any backend, including GPU. GGUF for the parakeet-cpp backend (C++/ggml port of NVIDIA NeMo Parakeet). The model has a voice-activity-detection head, and the vad:true option cuts long audio at pauses before transcription. License CC-BY-4.0: credit Moondream and NVIDIA.

Repository: localaiLicense: cc-by-4.0

parakeet-cpp-silero-vad-f16
Silero VAD v6.2.3 as a GGUF (F16, about 1.3 MB) for the parakeet-cpp backend. It only detects speech: use it for the VAD endpoint, or as the vad_model: option of a parakeet-cpp ASR model that has no VAD head. Converted from the official Silero VAD model, MIT licensed, copyright Silero Team: https://github.com/snakers4/silero-vad

Repository: localaiLicense: mit

parakeet-cpp-vad-moondream-redux-packed
Voice activity detection with the VAD head of Moondream Redux, packed ternary weights (about 213 MB). CPU only. The file is the same as the ASR entry parakeet-cpp-moondream-redux-packed, so the two share it on disk. Use it for the VAD endpoint. License CC-BY-4.0: credit Moondream and NVIDIA.

Repository: localaiLicense: cc-by-4.0

parakeet-cpp-vad-moondream-ultra-q8_0
Voice activity detection with the VAD head of Moondream Ultra, Q8_0 (about 0.9 GB). Runs on CPU and GPU. The file is the same as the ASR entry parakeet-cpp-moondream-ultra-q8_0, so the two share it on disk. Use it for the VAD endpoint. License CC-BY-4.0: credit Moondream and NVIDIA.

Repository: localaiLicense: cc-by-4.0

parakeet-cpp-vad-moondream-redux
Voice activity detection with the VAD head of Moondream Redux cut out of the full model, as a small file (about 10 MB). It detects speech only and cannot transcribe: a transcription request fails with an error. The head is not retrained, so the output is the same as the full model's head, with a much smaller download and a faster load. Needs a parakeet.cpp build that can load VAD-only GGUF files. Older backend builds fail to load the file. For the full model, install parakeet-cpp-vad-moondream-redux-packed. Use it for the VAD endpoint. License CC-BY-4.0: credit Moondream and NVIDIA.

Repository: localaiLicense: cc-by-4.0

parakeet-cpp-vad-moondream-ultra
Voice activity detection with the VAD head of Moondream Ultra, Q8_0 cut out of the full model, as a small file (about 6 MB). It detects speech only and cannot transcribe: a transcription request fails with an error. The head is not retrained, so the output is the same as the full model's head, with a much smaller download and a faster load. Needs a parakeet.cpp build that can load VAD-only GGUF files. Older backend builds fail to load the file. For the full model, install parakeet-cpp-vad-moondream-ultra-q8_0. Use it for the VAD endpoint. License CC-BY-4.0: credit Moondream and NVIDIA.

Repository: localaiLicense: cc-by-4.0

parakeet-cpp-vad
Voice activity detection served by the parakeet-cpp backend, with Silero VAD (about 1.3 MB). To use the VAD head of Moondream Redux or Ultra instead, install parakeet-cpp-vad-moondream-redux-packed or parakeet-cpp-vad-moondream-ultra-q8_0. The detectors are different, not builds of the same weights, so this entry does not pick between them.

Repository: localai

audio-cpp-silero-vad
Silero VAD (audio.cpp) - voice activity detection over /v1/vad. The model ships inside the audio-cpp backend package, so installing this entry downloads nothing.

Repository: localaiLicense: mit

audio-cpp-marblenet-vad
MarbleNet VAD (audio.cpp) - NeMo voice activity detection over /v1/vad, an alternative to Silero with different segment boundaries. The model ships inside the audio-cpp backend package, so installing this entry downloads nothing.

Repository: localaiLicense: other