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
File size: 1,308 Bytes
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license: cc-by-4.0
language:
- ja
base_model:
- nvidia/parakeet-tdt_ctc-0.6b-ja
pipeline_tag: automatic-speech-recognition
tags:
- automatic-speech-recognition
- asr
- parakeet
- gguf
- ggml
- cpp-inference
- nemo
---
# Parakeet ja GGUF — Japanese models for parakeet.cpp
GGUF-format weights for [parakeet.cpp](https://github.com/mudler/parakeet.cpp), a C++/ggml port of NVIDIA NeMo Parakeet that matches the upstream PyTorch models on CPU. This repo collects **Japanese** model × quantization as a flat set of .gguf files — download just the one you need.
## Models
### tdt_ctc-0.6b-ja
Source: [nvidia/parakeet-tdt_ctc-0.6b-ja](https://huggingface.co/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](https://creativecommons.org/licenses/by/4.0/) license. The parakeet.cpp runtime is MIT-licensed. |