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Hibiki 1b Mlx Q4

This is a 4-bit MLX quantization of kyutai/hibiki-1b-mlx-bf16 at revision b3d6291f3dcf7954e1a502e4d66f32e3556f17ae.

KindOtherBase modelkyutai/hibiki-1b-mlx-bf16VersionRevision 9649ed0

Model source

Kind
Other
File size
367 MB–1.05 GB
Base model
kyutai/hibiki-1b-mlx-bf16
Version
vRevision 9649ed0
Updated
Sep 13, 2026
Downloads
7
Source
Hugging Face

Source description

Hibiki-M 1B MLX q4

This is a 4-bit MLX quantization of kyutai/hibiki-1b-mlx-bf16 at revision b3d6291f3dcf7954e1a502e4d66f32e3556f17ae.

The language-model weights were quantized with MLX nn.quantize(bits=4, group_size=32), leaving tiny conditioner tensors dense when their last dimension is not divisible by 32. Mimi, tokenizer, and model config files are copied from the source repository. The staged config.json changes moshi_name to hibiki-mlx-dc2cf5a5@80.q4.safetensors so compatible loaders can apply q4 group-size-32 loading before strict weight load.

Files

  • hibiki-mlx-dc2cf5a5@80.q4.safetensors: quantized Hibiki-M language-model weights
  • mimi-dbaa9758@125.safetensors: source Mimi codec weights
  • tokenizer_spm_48k_multi6_2.model: source sentencepiece tokenizer
  • config.json: source architecture config with q4 moshi_name

This derivative keeps the upstream non-commercial share-alike license.

Sources

1 source
Hugging FacePrimaryVersion 9649ed0ce90b1a93efac1a89a6bfbe44820c2e7b
huggingface.co/huybik/hibiki-1b-mlx-q4/tree/9649ed0ce90b1a93efac1a89a6bfbe44820c2e7b

Verified Sep 13

Model artifacts

2 artifacts

hibiki-mlx-dc2cf5a5@80.q4.safetensors

safetensors · 1.05 GB · SHA-256 31b58b84ff4f…0da5 · Hugging Face

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mimi-dbaa9758@125.safetensors

safetensors · 367 MB · SHA-256 31c14cf36535…0e55 · Hugging Face

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Source excerpts

2 excerpts

--- license: cc-by-nc-sa-4.0 base_model: kyutai/hibiki-1b-mlx-bf16 tags: - mlx - speech-translation - text-to-speech - audio - quantized --- # Hibiki-M 1B MLX q4 This is a 4-bit MLX quantization of [`kyutai/hibiki-1b-mlx-bf16`](https://huggingface.co/kyutai/hibiki-1b-mlx-bf16) at revision `b3d6291f3dcf7954e1a502e4d66f32e3556f17ae`. The language-model weights were quantized with MLX `nn.quantize(bits=4, group_size=32)`, leaving tiny conditioner tensors dense when their last dimension is not divisible by 32. Mimi, tokenizer, and model config files are copied from the source repository. The staged `config.json` changes `moshi_name` to `hibiki-mlx-dc2cf5a5@80.q4.safetensors` so compatible loaders can apply q4 group-size-32 loading before strict weight load. ## Files - `hibiki-mlx-dc2cf5a5@80.q4.safetensors`: quantized Hibiki-M language-model weights - `mimi-dbaa9758@125.safetensors`: source Mimi codec weights - `tokenizer_spm_48k_multi6_2.model`: source sentencepiece tokenizer - `config.json`: source architecture config with q4 `moshi_name` This derivative keeps the upstream non-commercial share-alike license.

Source context: 7 downloads · 0 likes · Pipeline text-to-speech · Library mlx · Repo huybik/hibiki-1b-mlx-q4