kyutai / feature-extraction updated 1 year ago

mimi

Name: mimi
Author: kyutai

Mimi codec is a state-of-the-art audio neural codec, developped by Kyutai, that combines semantic and acoustic information into audio tokens running at 12.5Hz and a bitrate of 1.1kbps.

Params

100 M

Context

8,000

Downloads 30d

798 K

Likes

318

Commercial use: allowed cc-by-4.0 Not gated SAFETENSORS View on Hugging Face ↗

Download history

daily snapshots · 10 days

815 K788 K

Jul 28Jul 31Aug 3Aug 6

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

File	Quant	Size	Est. VRAM	Verdict on RTX 4090 · 24 GB
model.safetensors	f32	0.4 GB	0.9 GB	✅ Runs comfortably

Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Specifications

Architecture: MimiModel
Parameters: 100 M
Tensor type: F32
Context length: 8,000
Layers / heads: 8 / 8
Licence: cc-by-4.0
First seen on the Hub: 2024-09-10
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Compare with

bge-small-en-v1.5 72.4 M bge-large-en-v1.5 13.1 M bge-base-en-v1.5 10.0 M granite-embedding-small-english-r2 3.8 M all-MiniLM-L6-v2 2.9 M bge-base-en-v1.5 2.2 M

Appears in

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