Instructions to use kun432/parakeet-cpp-ja-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use kun432/parakeet-cpp-ja-gguf with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("kun432/parakeet-cpp-ja-gguf") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Parakeet ja GGUF โ Japanese models for parakeet.cpp
GGUF-format weights for parakeet.cpp, a C++/ggml port of NVIDIA NeMo Parakeet that matches the upstream PyTorch models on CPU. This repo collects Japanese model ร quantization as a flat set of .gguf files โ download just the one you need.
Models
tdt_ctc-0.6b-ja
Source: nvidia/parakeet-tdt_ctc-0.6b-ja
| File | Variant | Size |
|---|---|---|
ttdt_ctc-0.6b-ja-f16.gguf |
F16 | 1359.9 MB |
ttdt_ctc-0.6b-ja-q8_0.gguf |
Q8_0 | 884.1MB |
ttdt_ctc-0.6b-ja-q5_0.gguf |
Q5_0 | 693.8 MB |
ttdt_ctc-0.6b-ja-q4_0.gguf |
Q4_0 | 630.3 MB |
ttdt_ctc-0.6b-ja-q6_k.gguf |
Q6_K | 762.4 MB |
ttdt_ctc-0.6b-ja-q5_k.gguf |
Q5_K | 695.1 MB |
ttdt_ctc-0.6b-ja-q4_k.gguf |
Q4_K | 631.7 MB |
License
The GGUF weights are derived from the NVIDIA NeMo Parakeet checkpoints, released under the CC-BY-4.0 license. The parakeet.cpp runtime is MIT-licensed.
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Model tree for kun432/parakeet-cpp-ja-gguf
Base model
nvidia/parakeet-tdt_ctc-0.6b-ja