tag string | dtype string | mlx_version string | format_version int64 | config dict | methods dict |
|---|---|---|---|---|---|
base | bf16 | 0.31.1 | 2 | {
"context_length_frames": 250,
"encoder_codec_rvq_depth": 4,
"encoder_style_rvq_depth": 6,
"decoder_codec_rvq_depth": 16
} | {
"encode": {
"method": "encode",
"shape": [
2,
1006
],
"dtype": "int32",
"out_dtype": "mlx.core.bfloat16",
"size_mb": 218.892049,
"parity": false,
"max_abs_err": 0
},
"depth_step_cl01": {
"method": "depth_step",
"cache_length": 1,
"size_kb": 30.841796875,
... |
Magenta RealTime — C++ MLX runtime bundle
This dataset is a re-packaging of
Google's Magenta RealTime weights
for the C++ MLX runtime in
rhymeswithlion/magenta-realtime-mlx-cpp.
It contains exactly what mlx-stream needs at startup; nothing more, nothing
less. The upstream .pt / .npy checkpoints are intentionally not
mirrored here — they're only useful for the (Python) re-export tooling on the
project's main distribution.
Contents
.
├── spectrostream_encoder.safetensors (35 MB)
├── spectrostream_decoder.safetensors (136 MB)
├── spectrostream_codebooks.safetensors (64 MB)
├── musiccoca_encoder.safetensors (911 MB)
├── musiccoca_codebooks.safetensors (36 MB)
├── musiccoca_vocab.model (1.5 MB)
├── depthformer/
│ └── depthformer_base.safetensors (1.33 GB)
└── mlxfn/
├── encode_base_bf16.mlxfn (~5 MB)
├── depth_step_base_bf16_cl01.mlxfn ...
│ ...
├── depth_step_base_bf16_cl15.mlxfn (15 files, ~4 KB each)
├── temporal_step_base_bf16_cl01.mlxfn ...
│ ...
├── temporal_step_base_bf16_cl49.mlxfn (49 files, ~200 KB each)
└── manifest.json
Total: 73 files, ~2.7 GB.
Most .safetensors are direct conversions of the upstream .pt / .npy
artefacts (tensor keys, dtypes, and storage layout preserved verbatim). The
exception is musiccoca_encoder.safetensors, which has been lightly
fine-tuned to better match the original (pre-conversion) MusicCoCa XLA
SavedModel's outputs — see the provenance table at the bottom.
The mlxfn/*.mlxfn files are
mx::export_function
serialisations of the Depthformer encode + per-cache-length decode steps.
They're an optional accelerator: the C++ binary still works without them, but
falls back to a ~50 % slower capturing-lambda compile path. Weights are passed
in as flowing function arguments, so each .mlxfn file is small (KB-scale,
not GB).
How to use
The runtime expects this exact layout under .weights-cache/. The repo's
Makefile does the right thing:
git clone https://github.com/rhymeswithlion/magenta-realtime-mlx-cpp
cd magenta-realtime-mlx-cpp
make mlx-stream
This invokes scripts/download_weights_from_hf.py (which snapshots this
dataset into .weights-cache/), builds the C++ binary, and starts streaming
audio.
To download the bundle by itself:
huggingface-cli download \
--repo-type dataset \
rhymeswithlion/magenta-realtime-mlx-cpp \
--local-dir ./weights-cache
License
This bundle is licensed under
Creative Commons Attribution 4.0 International (CC-BY-4.0),
matching the upstream
google/magenta-realtime
weights.
Copyright 2025 Google LLC.
musiccoca_encoder.safetensors has been lightly fine-tuned to better match
the outputs of the original (pre-conversion) MusicCoCa XLA SavedModel, and
the resulting fine-tune deltas are licensed under
Apache License 2.0,
Copyright 2026 Brian Cruz. It is shape-compatible with the upstream encoder
and is loaded by the runtime without code changes.
The C++ MLX runtime that consumes these weights
(rhymeswithlion/magenta-realtime-mlx-cpp)
is also licensed under
Apache License 2.0,
Copyright 2026 Brian Cruz.
Magenta RealTime Terms of Use
Reproduced from the upstream model card:
Magenta RealTime is offered under a combination of licenses: the codebase is licensed under Apache 2.0, and the model weights under Creative Commons Attribution 4.0 International. In addition, we specify the following usage terms:
Copyright 2025 Google LLC
Use these materials responsibly and do not generate content, including outputs, that infringe or violate the rights of others, including rights in copyrighted content.
Google claims no rights in outputs you generate using Magenta RealTime. You and your users are solely responsible for outputs and their subsequent uses.
Unless required by applicable law or agreed to in writing, all software and materials distributed here under the Apache 2.0 or CC-BY licenses are distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the licenses for the specific language governing permissions and limitations under those licenses. You are solely responsible for determining the appropriateness of using, reproducing, modifying, performing, displaying or distributing the software and materials, and any outputs, and assume any and all risks associated with your use or distribution of any of the software and materials, and any outputs, and your exercise of rights and permissions under the licenses.
Attribution
Please attribute Google's Magenta RealTime when using this bundle:
@article{gdmlyria2025live,
title={Live Music Models},
author={Caillon, Antoine and McWilliams, Brian and Tarakajian, Cassie
and Simon, Ian and Manco, Ilaria and Engel, Jesse and Constant,
Noah and Li, Pen and Denk, Timo I. and Lalama, Alberto and
Agostinelli, Andrea and Huang, Anna and Manilow, Ethan and
Brower, George and Erdogan, Hakan and Lei, Heidi and Rolnick,
Itai and Grishchenko, Ivan and Orsini, Manu and Kastelic, Matej
and Zuluaga, Mauricio and Verzetti, Mauro and Dooley, Michael
and Skopek, Ondrej and Ferrer, Rafael and Borsos, Zal{\'a}n and
van den Oord, {\"A}aron and Eck, Douglas and Collins, Eli and
Baldridge, Jason and Hume, Tom and Donahue, Chris and Han,
Kehang and Roberts, Adam},
journal={arXiv:2508.04651},
year={2025}
}
Source bundle provenance
| Artefact | Source |
|---|---|
spectrostream_*.safetensors |
Converted from upstream spectrostream_*.pt / .npy |
musiccoca_encoder.safetensors |
Converted from upstream musiccoca_encoder.pt, then lightly fine-tuned by Brian Cruz to better match the original (pre-conversion) MusicCoCa XLA SavedModel; fine-tune deltas Apache-2.0 |
musiccoca_codebooks.safetensors |
Converted from upstream musiccoca_codebooks.npy |
musiccoca_vocab.model |
Verbatim copy of upstream SentencePiece vocab |
depthformer/depthformer_base.safetensors |
Converted from upstream depthformer_base.pt |
mlxfn/*.mlxfn |
Traced via mx.export_function from the converted weights |
Conversion + export tooling is published separately and is not part of this runtime bundle.
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