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8-bit quantized
MLX
conversion of
k2-fsa/OmniVoice
— a single-stage,
non-autoregressive discrete-diffusion text-to-speech model with a Qwen3 backbone
and broad multilingual coverage (600+ languages). For Apple Silicon, via the
speech-swift
runtime.
Contents
File
Precision
Size
model.safetensors
int8 backbone (group 64, 8-bit)
~689 MB
audio_tokenizer/model.safetensors
fp16 codec (Higgs-audio v2)
~403 MB
tokenizer.json
,
config.json
, …
—
—
The diffusion backbone is quantized (it dominates latency — 32 forward passes per
clip); the codec stays fp16 since it runs once and is already exact there.
Why int8
The backbone is memory-bandwidth bound at these sequence lengths, so 8-bit weights
cut latency with no audible loss. On an M5 Pro:
RTF ≈ 0.18
(≈ 5.5× faster than
real-time), versus ≈ 0.25 at fp32, and the ASR roundtrip stays at
0% WER
.
Precision tiers:
Variant
Backbone
Total
Use
OmniVoice-MLX-fp16
fp16
~1.5 GB
balanced
OmniVoice-MLX-int8
int8
~1.0 GB
fastest / smallest
Usage
Loaded by the
OmniVoiceTTS
module in
speech-swift
. The
quantization
block in
config.json
(
group_size: 64
,
bits: 8
) tells the loader to swap the
Linear/Embedding layers to their quantized form before loading the weights.
License
Apache-2.0, following the upstream model.
Runs of aufklarer OmniVoice-MLX-int8 on huggingface.co
43
Total runs
0
24-hour runs
3
3-day runs
-6
7-day runs
-17
30-day runs
More Information About OmniVoice-MLX-int8 huggingface.co Model
OmniVoice-MLX-int8 huggingface.co is an AI model on huggingface.co that provides OmniVoice-MLX-int8's model effect (), which can be used instantly with this aufklarer OmniVoice-MLX-int8 model. huggingface.co supports a free trial of the OmniVoice-MLX-int8 model, and also provides paid use of the OmniVoice-MLX-int8. Support call OmniVoice-MLX-int8 model through api, including Node.js, Python, http.
OmniVoice-MLX-int8 huggingface.co is an online trial and call api platform, which integrates OmniVoice-MLX-int8's modeling effects, including api services, and provides a free online trial of OmniVoice-MLX-int8, you can try OmniVoice-MLX-int8 online for free by clicking the link below.
aufklarer OmniVoice-MLX-int8 online free url in huggingface.co:
OmniVoice-MLX-int8 is an open source model from GitHub that offers a free installation service, and any user can find OmniVoice-MLX-int8 on GitHub to install. At the same time, huggingface.co provides the effect of OmniVoice-MLX-int8 install, users can directly use OmniVoice-MLX-int8 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.