NVIDIA NeMo Parakeet TDT 0.6B v3 is an automatic speech recognition (ASR) model from NVIDIA's NeMo toolkit. Parakeet models are state-of-the-art ASR models trained on large-scale English audio data.
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Hybrid TDT+CTC FastConformer, 110M. F16 GGUF for the parakeet-cpp backend (C++/ggml port of NVIDIA NeMo Parakeet), byte-identical to NeMo at WER 0. Faster than NeMo on CPU and GPU.
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Repository: localaiLicense: cc-by-4.0
Cache-aware streaming RNNT FastConformer with end-of-utterance (EOU) detection, 120M. Use with streaming transcription. F16 GGUF for the parakeet-cpp backend (C++/ggml port of NVIDIA NeMo Parakeet), byte-identical to NeMo at WER 0. Faster than NeMo on CPU and GPU.
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CTC FastConformer, 0.6B. F16 GGUF for the parakeet-cpp backend (C++/ggml port of NVIDIA NeMo Parakeet), byte-identical to NeMo at WER 0. Faster than NeMo on CPU and GPU.
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RNNT FastConformer, 0.6B. F16 GGUF for the parakeet-cpp backend (C++/ggml port of NVIDIA NeMo Parakeet), byte-identical to NeMo at WER 0. Faster than NeMo on CPU and GPU.
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TDT FastConformer, 0.6B (v2). F16 GGUF for the parakeet-cpp backend (C++/ggml port of NVIDIA NeMo Parakeet), byte-identical to NeMo at WER 0. Faster than NeMo on CPU and GPU.
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TDT FastConformer, 0.6B (v3, multilingual). F16 GGUF for the parakeet-cpp backend (C++/ggml port of NVIDIA NeMo Parakeet), byte-identical to NeMo at WER 0. Faster than NeMo on CPU and GPU.
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CTC FastConformer, 1.1B. F16 GGUF for the parakeet-cpp backend (C++/ggml port of NVIDIA NeMo Parakeet), byte-identical to NeMo at WER 0. Faster than NeMo on CPU and GPU.
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RNNT FastConformer, 1.1B. F16 GGUF for the parakeet-cpp backend (C++/ggml port of NVIDIA NeMo Parakeet), byte-identical to NeMo at WER 0. Faster than NeMo on CPU and GPU.
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TDT FastConformer, 1.1B. F16 GGUF for the parakeet-cpp backend (C++/ggml port of NVIDIA NeMo Parakeet), byte-identical to NeMo at WER 0. Faster than NeMo on CPU and GPU.
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Hybrid TDT+CTC FastConformer, 1.1B. F16 GGUF for the parakeet-cpp backend (C++/ggml port of NVIDIA NeMo Parakeet), byte-identical to NeMo at WER 0. Faster than NeMo on CPU and GPU.
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NVIDIA Parakeet TDT 0.6B v3 (FastConformer + Token-and-Duration Transducer), 25-language ASR. Runs via the CrispASR backend. Default GGUF size ~467 MB.
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NVIDIA Parakeet TDT 0.6B v2 (FastConformer + TDT), English-only ASR. Runs via the CrispASR backend. Default GGUF size ~468 MB.
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NVIDIA Parakeet TDT 0.6B Japanese ASR (F16 default; Q4_K is quantisation-sensitive for this model). Runs via the CrispASR backend. Default GGUF size ~1.24 GB.
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NVIDIA Parakeet TDT 1.1B (42-layer FastConformer encoder), English-only ASR. Runs via the CrispASR backend. Default GGUF size ~808 MB.
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NVIDIA Parakeet hybrid TDT+CTC 110M (smallest, CTC decode), English-only ASR. Runs via the CrispASR backend. Default GGUF size ~91 MB.
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NVIDIA Parakeet hybrid TDT+CTC 1.1B (multilingual, casing + punctuation) ASR. Runs via the CrispASR backend. Default GGUF size ~810 MB.
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NVIDIA Parakeet RNN-Transducer 0.6B (24-layer FastConformer) ASR. Runs via the CrispASR backend. Default GGUF size ~447 MB.
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NVIDIA Parakeet RNN-Transducer 1.1B (42-layer FastConformer) ASR. Runs via the CrispASR backend. Default GGUF size ~770 MB.
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