Downloads · 30 days
21
21% of all-time downloads
moshiko-7b-bf16
vokra/moshiko-7b-bf16
moshiko-7b-bf16 is a machine learning model from vokra. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for vokra. The card lists the license as cc-by-4.0.
Speech to speech model, converted to the Vokra GGUF format for Vokra, a zero-dependency speech-AI inference runtime.
All-time downloads
99
Public
Repo size
15.4 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.gguf15.4 GB · 100%
At a glance
- Library
- vokra
- License
- cc-by-4.0
- Access
- Public
- Created
- Jul 23, 2026
- Updated
- Jul 23, 2026
- SHA
- 49699359
Model card
From the Hugging Face model README
moshiko-7b-bf16 (Vokra GGUF)
Speech to speech model, converted to the Vokra GGUF format for Vokra, a zero-dependency speech-AI inference runtime.
This is a conversion, not a new model. The weights are the upstream ones; Vokra re-packages them so its runtime can memory-map them directly. Credit for the model belongs upstream — see Source below.
Files
| File | Size | SHA-256 |
|---|---|---|
moshi-7b-bf16-full.gguf | 14663.7 MB | 082b9c24c08adc5a5cb10099be261fbaa2599db261d55efc872162f349951d3e |
Usage
# Download (any HTTP client works — the file is a plain GGUF)
curl -L -o moshi-7b-bf16-full.gguf \
https://huggingface.co/vokra/moshiko-7b-bf16/resolve/main/moshi-7b-bf16-full.gguf
# This artifact is consumed by another engine rather than run
# standalone — see the Vokra docs for the S2S pipeline.
Provenance
| Field | Value |
|---|---|
| Architecture | moshi |
| Tensors | 355 |
| Upstream source | https://huggingface.co/kyutai/moshiko-pytorch-bf16 |
| Upstream licence | CC-BY-4.0 |
| Licence class | attribution-required |
| Registry model id | moshi |
| Vokra GGUF schema | (pre-stamping) |
| Converted by | (unrecorded) |
Every row above is read out of this file's own vokra.* metadata, so the card cannot claim something the artifact does not carry.
Licence
The weights are distributed under CC-BY-4.0, unchanged from upstream. Conversion does not alter the licence, and your obligations run to the upstream author.
Attribution required
This application uses the Moshi model (Helium temporal transformer + depformer + Mimi codec) by Kyutai. Moshi weights are licensed under CC-BY 4.0 (attribution required; commercial use permitted). Copyright (c) Kyutai / Moshi authors. Source: https://github.com/kyutai-labs/moshi / https://huggingface.co/kyutai/moshiko-pytorch-bf16
This licence obliges you to display the attribution above when you ship something built on these weights. Vokra surfaces it at runtime via vokra_model_attribution (C ABI) and a CLI banner.
⚠️ Not real-time on Vokra's current runtime
Moshi's premise is real-time full-duplex dialogue (~200 ms on GPU). On Vokra's current CPU runtime this converted weight runs at RTF ≈ 1000 — it is a faithful BF16 parity/functional artifact, not a usable real-time model yet. GPU kernels for the Helium temporal + per-step-weight depformer + Mimi chain are a follow-up. Full-duplex use also needs an acoustic echo canceller (AEC) or the model self-echoes.
Verifying this file
shasum -a 256 moshi-7b-bf16-full.gguf
# expect: 082b9c24c08adc5a5cb10099be261fbaa2599db261d55efc872162f349951d3e
- Library
- vokra
- License
- cc-by-4.0
- Created
- Jul 23, 2026
- Updated
- Jul 23, 2026