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
| { | |
| "mimi_name": "mimi-dbaa9758@125.safetensors", | |
| "moshi_name": "hibiki-mlx-dc2cf5a5@80.q4.safetensors", | |
| "tokenizer_name": "tokenizer_spm_48k_multi6_2.model", | |
| "dim": 2048, | |
| "text_card": 48000, | |
| "existing_text_padding_id": 3, | |
| "n_q": 16, | |
| "dep_q": 8, | |
| "card": 2048, | |
| "num_heads": 16, | |
| "num_layers": 16, | |
| "hidden_scale": 4.125, | |
| "causal": true, | |
| "layer_scale": null, | |
| "context": 500, | |
| "max_period": 100000, | |
| "gating": "silu", | |
| "norm": "rms_norm_f32", | |
| "positional_embedding": "rope", | |
| "depformer_dim": 1024, | |
| "depformer_dim_feedforward": 4224, | |
| "depformer_num_heads": 16, | |
| "depformer_num_layers": 6, | |
| "depformer_causal": true, | |
| "depformer_layer_scale": null, | |
| "depformer_multi_linear": true, | |
| "depformer_context": 16, | |
| "depformer_max_period": 10000, | |
| "depformer_gating": "silu", | |
| "depformer_pos_emb": "none", | |
| "depformer_weights_per_step": true, | |
| "delays": [ | |
| 0, | |
| 0, | |
| 2, | |
| 2, | |
| 2, | |
| 2, | |
| 2, | |
| 2, | |
| 2, | |
| 0, | |
| 2, | |
| 2, | |
| 2, | |
| 2, | |
| 2, | |
| 2, | |
| 2 | |
| ], | |
| "conditioners": { | |
| "description": { | |
| "type": "lut", | |
| "lut": { | |
| "n_bins": 31, | |
| "dim": 16, | |
| "tokenizer": "noop", | |
| "possible_values": [ | |
| "very_bad", | |
| "bad", | |
| "neutral", | |
| "good", | |
| "very_good" | |
| ] | |
| } | |
| } | |
| }, | |
| "fuser": { | |
| "sum": [ | |
| "description" | |
| ] | |
| }, | |
| "hibiki_mlx_quantization": { | |
| "format": "linear-v1", | |
| "target": "lm-linear", | |
| "bits": 4, | |
| "group_size": 32 | |
| } | |
| } | |