Instructions to use anquachdev/hibiki-1b-mlx-q4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use anquachdev/hibiki-1b-mlx-q4 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir hibiki-1b-mlx-q4 anquachdev/hibiki-1b-mlx-q4
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
| license: cc-by-4.0 | |
| language: | |
| - fr | |
| - en | |
| base_model: kyutai/hibiki-1b-mlx-bf16 | |
| base_model_relation: quantized | |
| tags: | |
| - hibiki | |
| - mlx | |
| - speech-to-speech | |
| - quantized | |
| # Hibiki 1B MLX Q4 | |
| Weight-only quantization of the language model from the artifact revision `unknown`. | |
| - Quantization: Q4, group size 32 | |
| - Quantized modules: compatible MLX Linear layers only | |
| - Unchanged: Mimi codec, embeddings, normalisation layers, tokenizer | |