Instructions to use smartdigitalnetworks/SongGeneration-v2-large-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use smartdigitalnetworks/SongGeneration-v2-large-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir SongGeneration-v2-large-mlx smartdigitalnetworks/SongGeneration-v2-large-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
Commit ·
36dba8e
0
Parent(s):
Duplicate from mlx-community/SongGeneration-v2-large
Browse filesCo-authored-by: ailuntz <ailuntz@users.noreply.huggingface.co>
This view is limited to 50 files because it contains too many changes. See raw diff
- .gitattributes +35 -0
- README.md +141 -0
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- config.official.yaml +141 -0
- mlx_manifest.json +198 -0
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README.md
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| 1 |
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---
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| 2 |
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license: other
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| 3 |
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library_name: mlx
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| 4 |
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pipeline_tag: text-to-audio
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base_model:
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- tencent/SongGeneration
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tags:
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- mlx
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- apple-silicon
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- music-generation
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- song-generation
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- audiolm
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---
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Part of the SongGeneration MLX conversion set. Collection: https://huggingface.co/collections/mlx-community/songgeneration-v2-mlx-6a1bf9342dd0806419737229
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# SongGeneration-v2-large
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Apple MLX weights for the autoregressive `audiolm` token generator from Tencent SongGeneration v2-large.
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| 20 |
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This default repository is the bf16 variant and is equivalent to [`mlx-community/SongGeneration-v2-large-bf16`](https://huggingface.co/mlx-community/SongGeneration-v2-large-bf16). Use this repo when you want the recommended default checkpoint.
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| 23 |
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This is not a full-stack pure MLX audio pipeline yet: token generation runs with MLX, while FLAC decoding currently uses the official PyTorch Flow1dVAE / separate-tokenizer bridge in [`ailuntx/SongGeneration-MLX`](https://github.com/ailuntx/SongGeneration-MLX).
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## TL;DR
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| | |
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|---|---|
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| **Variant** | `v2-large` |
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| 30 |
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| **Precision** | `bf16` (`bfloat16`) |
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| 31 |
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| **Converted component** | SongGeneration `audiolm` token generator |
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| 32 |
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| **Runtime** | [`ailuntx/SongGeneration-MLX`](https://github.com/ailuntx/SongGeneration-MLX) |
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| 33 |
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| **Official model** | [`tencent/SongGeneration`](https://huggingface.co/tencent/SongGeneration) |
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| 34 |
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| **Official code** | [`tencent-ailab/songgeneration`](https://github.com/tencent-ailab/songgeneration) |
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| 35 |
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## Quick Start
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| 37 |
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| 38 |
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```bash
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| 39 |
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git clone https://github.com/ailuntx/SongGeneration-MLX.git
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| 40 |
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cd SongGeneration-MLX
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python -m venv .venv
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| 42 |
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.venv/bin/pip install -e .
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| 43 |
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.venv/bin/pip install -U huggingface_hub hf_transfer
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| 44 |
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| 45 |
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HF_HUB_ENABLE_HF_TRANSFER=1 .venv/bin/hf download mlx-community/SongGeneration-v2-large --local-dir ./models/SongGeneration-v2-large
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| 46 |
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| 47 |
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.venv/bin/python -m songgeneration_mlx.cli \
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| 48 |
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--model ./models/SongGeneration-v2-large \
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| 49 |
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--lyrics '[verse] hello from mlx [chorus] sing it again' \
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| 50 |
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--description 'Pop, female vocal, bright production, [Musicality-medium].' \
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| 51 |
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--duration 2 \
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| 52 |
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--top-k 50 \
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| 53 |
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--temperature 0.9 \
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| 54 |
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--output tokens_2s.npz
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| 55 |
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```
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| 56 |
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|
| 57 |
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## Decode Tokens
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| 58 |
+
|
| 59 |
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The MLX runtime writes discrete song tokens. To create FLAC audio, use the official decoder bridge in [`ailuntx/SongGeneration-MLX`](https://github.com/ailuntx/SongGeneration-MLX). The bridge needs the official SongGeneration `runtime/` assets, but it does not need the original SongGeneration LM `model.pt` when `--mlx-model` is used.
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| 60 |
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| 61 |
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```bash
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| 62 |
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python -m venv .venv-decoder
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| 63 |
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.venv-decoder/bin/pip install -U pip
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| 64 |
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.venv-decoder/bin/pip install \
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| 65 |
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-r third_party/SongGeneration/requirements.txt \
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| 66 |
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-r third_party/SongGeneration/requirements_nodeps.txt \
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| 67 |
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soundfile
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| 68 |
+
|
| 69 |
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HF_HUB_ENABLE_HF_TRANSFER=1 .venv/bin/hf download tencent/SongGeneration \
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| 70 |
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--include "runtime/*" \
|
| 71 |
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--local-dir ./third_party/SongGeneration
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| 72 |
+
|
| 73 |
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PYTORCH_ENABLE_MPS_FALLBACK=1 SONGGEN_DEVICE=mps \
|
| 74 |
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.venv-decoder/bin/python scripts/decode_tokens_official.py \
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| 75 |
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--mlx-model ./models/SongGeneration-v2-large \
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| 76 |
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--tokens ./tokens_2s.npz \
|
| 77 |
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--output ./output_2s.flac \
|
| 78 |
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--device mps
|
| 79 |
+
```
|
| 80 |
+
|
| 81 |
+
## Variants
|
| 82 |
+
|
| 83 |
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| Variant | Disk | Notes |
|
| 84 |
+
|---|---:|---|
|
| 85 |
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| `SongGeneration-v2-medium-fp32` | 10G | high-precision medium baseline |
|
| 86 |
+
| `SongGeneration-v2-medium-bf16` | 5.2G | recommended medium bf16 quality baseline |
|
| 87 |
+
| `SongGeneration-v2-medium-8bit` | 2.8G | smaller medium checkpoint |
|
| 88 |
+
| `SongGeneration-v2-medium-4bit` | 1.5G | smallest medium checkpoint |
|
| 89 |
+
| `SongGeneration-v2-large-fp32` | 19G | high-precision large baseline |
|
| 90 |
+
| `SongGeneration-v2-large` | 9.5G | default large checkpoint, same weights as bf16 |
|
| 91 |
+
| `SongGeneration-v2-large-bf16` | 9.5G | explicit large bf16 quality baseline |
|
| 92 |
+
| `SongGeneration-v2-large-8bit` | 5.0G | smaller large checkpoint |
|
| 93 |
+
| `SongGeneration-v2-large-4bit` | 2.7G | smallest large checkpoint |
|
| 94 |
+
| `SongGeneration-v2-fast-*` | pending | upstream fast weights were not publicly available when checked on 2026-05-31 |
|
| 95 |
+
|
| 96 |
+
## Layout
|
| 97 |
+
|
| 98 |
+
```text
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| 99 |
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SongGeneration-v2-large/
|
| 100 |
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|-- model-00001-of-000xx.safetensors
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| 101 |
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|-- model.safetensors.index.json
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| 102 |
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|-- config.json
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| 103 |
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|-- mlx_manifest.json
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| 104 |
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|-- config.official.yaml
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| 105 |
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|-- vocab.yaml
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| 106 |
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`-- qwen2_tokenizer/
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| 107 |
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```
|
| 108 |
+
|
| 109 |
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## Validation
|
| 110 |
+
|
| 111 |
+
Local Apple Silicon validation was run on the medium bf16 path:
|
| 112 |
+
|
| 113 |
+
| Test | Result |
|
| 114 |
+
|---|---|
|
| 115 |
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| 12s MLX token generation | 550 pattern steps, about 1 minute wall time |
|
| 116 |
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| 12s official decoder bridge | 73.27s wall time |
|
| 117 |
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| 12s FLAC | 48kHz stereo, 12.000s, RMS about `0.163` |
|
| 118 |
+
|
| 119 |
+
The official recent-token repetition penalty is implemented in the MLX runtime. Without it, 12s generations collapse into repeated tokens and decode close to silence.
|
| 120 |
+
|
| 121 |
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## License
|
| 122 |
+
|
| 123 |
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License follows the upstream SongGeneration release. Check the official model card and repository for the authoritative model license.
|
| 124 |
+
|
| 125 |
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## Citation
|
| 126 |
+
|
| 127 |
+
```bibtex
|
| 128 |
+
@misc{songgeneration-mlx,
|
| 129 |
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title = {SongGeneration-MLX: Apple MLX port of SongGeneration},
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| 130 |
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author = {ailuntx},
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| 131 |
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year = {2026},
|
| 132 |
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url = {https://github.com/ailuntx/SongGeneration-MLX},
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| 133 |
+
}
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| 134 |
+
|
| 135 |
+
@article{lei2025levo,
|
| 136 |
+
title = {LeVo: High-Quality Song Generation with Multi-Preference Alignment},
|
| 137 |
+
author = {Lei, Shun and Xu, Yaoxun and Lin, Zhiwei and Zhang, Huaicheng and Tan, Wei and Chen, Hangting and Yu, Jianwei and Zhang, Yixuan and Yang, Chenyu and Zhu, Haina and Wang, Shuai and Wu, Zhiyong and Yu, Dong},
|
| 138 |
+
journal = {arXiv preprint arXiv:2506.07520},
|
| 139 |
+
year = {2025},
|
| 140 |
+
}
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| 141 |
+
```
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|
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|
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|
|
|
| 1 |
+
{
|
| 2 |
+
"format": "songgeneration-mlx-audiolm",
|
| 3 |
+
"source": "tencent/SongGeneration",
|
| 4 |
+
"official_code": "https://github.com/tencent-ailab/songgeneration",
|
| 5 |
+
"variant": "v2-large",
|
| 6 |
+
"precision": "bfloat16",
|
| 7 |
+
"runtime": {
|
| 8 |
+
"hidden_size": 2048,
|
| 9 |
+
"intermediate_size": 11008,
|
| 10 |
+
"num_heads": 16,
|
| 11 |
+
"num_layers": 36,
|
| 12 |
+
"num_layers_sub": 12,
|
| 13 |
+
"code_depth": 3,
|
| 14 |
+
"code_size": 16384,
|
| 15 |
+
"prompt_len": 10,
|
| 16 |
+
"frame_rate": 25,
|
| 17 |
+
"max_position_embeddings": 10000,
|
| 18 |
+
"max_position_embeddings_sub": 10000,
|
| 19 |
+
"rope_theta": 500000.0,
|
| 20 |
+
"rope_theta_sub": 500000.0,
|
| 21 |
+
"cfg_coef": 1.5
|
| 22 |
+
},
|
| 23 |
+
"components": {
|
| 24 |
+
"audiolm": "converted to MLX safetensors",
|
| 25 |
+
"qwen_tokenizer": "copied for lyric/style tokenization",
|
| 26 |
+
"audio_decoder": "use official PyTorch Flow1dVAE/separate tokenizer bridge for now"
|
| 27 |
+
},
|
| 28 |
+
"skipped_keys": [
|
| 29 |
+
"audiolm.out_norm.weight",
|
| 30 |
+
"audiolm.out_norm.bias",
|
| 31 |
+
"audiolm.transformer2.lm_head.weight"
|
| 32 |
+
],
|
| 33 |
+
"weight_files": [
|
| 34 |
+
"model-00001-of-00163.safetensors",
|
| 35 |
+
"model-00002-of-00163.safetensors",
|
| 36 |
+
"model-00003-of-00163.safetensors",
|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
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"model-00023-of-00163.safetensors",
|
| 57 |
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"model-00024-of-00163.safetensors",
|
| 58 |
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"model-00025-of-00163.safetensors",
|
| 59 |
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|
| 60 |
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|
| 61 |
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"model-00028-of-00163.safetensors",
|
| 62 |
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|
| 63 |
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|
| 64 |
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"model-00031-of-00163.safetensors",
|
| 65 |
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|
| 66 |
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|
| 67 |
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|
| 68 |
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|
| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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|
| 73 |
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|
| 74 |
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|
| 75 |
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|
| 76 |
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|
| 77 |
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|
| 78 |
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|
| 79 |
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|
| 80 |
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|
| 81 |
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|
| 82 |
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|
| 83 |
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|
| 84 |
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|
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|
| 86 |
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|
| 87 |
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|
| 88 |
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|
| 89 |
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|
| 90 |
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|
| 91 |
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|
| 92 |
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|
| 93 |
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|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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|
| 98 |
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|
| 99 |
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|
| 100 |
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|
| 101 |
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|
| 102 |
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|
| 103 |
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|
| 104 |
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|
| 105 |
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|
| 106 |
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|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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|
| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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"model-00095-of-00163.safetensors",
|
| 129 |
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"model-00096-of-00163.safetensors",
|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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"model-00100-of-00163.safetensors",
|
| 134 |
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"model-00101-of-00163.safetensors",
|
| 135 |
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|
| 136 |
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|
| 137 |
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|
| 138 |
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|
| 139 |
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"model-00106-of-00163.safetensors",
|
| 140 |
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|
| 141 |
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|
| 142 |
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|
| 143 |
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|
| 144 |
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|
| 145 |
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|
| 146 |
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"model-00113-of-00163.safetensors",
|
| 147 |
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|
| 148 |
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|
| 149 |
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|
| 150 |
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|
| 151 |
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|
| 152 |
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"model-00119-of-00163.safetensors",
|
| 153 |
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|
| 154 |
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"model-00121-of-00163.safetensors",
|
| 155 |
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"model-00122-of-00163.safetensors",
|
| 156 |
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"model-00123-of-00163.safetensors",
|
| 157 |
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"model-00124-of-00163.safetensors",
|
| 158 |
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|
| 159 |
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|
| 160 |
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"model-00127-of-00163.safetensors",
|
| 161 |
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|
| 162 |
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"model-00129-of-00163.safetensors",
|
| 163 |
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|
| 164 |
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|
| 165 |
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"model-00132-of-00163.safetensors",
|
| 166 |
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"model-00133-of-00163.safetensors",
|
| 167 |
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"model-00134-of-00163.safetensors",
|
| 168 |
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"model-00135-of-00163.safetensors",
|
| 169 |
+
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|
| 170 |
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"model-00137-of-00163.safetensors",
|
| 171 |
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"model-00138-of-00163.safetensors",
|
| 172 |
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"model-00139-of-00163.safetensors",
|
| 173 |
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"model-00140-of-00163.safetensors",
|
| 174 |
+
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|
| 175 |
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|
| 176 |
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|
| 177 |
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"model-00144-of-00163.safetensors",
|
| 178 |
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"model-00145-of-00163.safetensors",
|
| 179 |
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"model-00146-of-00163.safetensors",
|
| 180 |
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"model-00147-of-00163.safetensors",
|
| 181 |
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"model-00148-of-00163.safetensors",
|
| 182 |
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"model-00149-of-00163.safetensors",
|
| 183 |
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"model-00150-of-00163.safetensors",
|
| 184 |
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"model-00151-of-00163.safetensors",
|
| 185 |
+
"model-00152-of-00163.safetensors",
|
| 186 |
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"model-00153-of-00163.safetensors",
|
| 187 |
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|
| 188 |
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"model-00155-of-00163.safetensors",
|
| 189 |
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"model-00156-of-00163.safetensors",
|
| 190 |
+
"model-00157-of-00163.safetensors",
|
| 191 |
+
"model-00158-of-00163.safetensors",
|
| 192 |
+
"model-00159-of-00163.safetensors",
|
| 193 |
+
"model-00160-of-00163.safetensors",
|
| 194 |
+
"model-00161-of-00163.safetensors",
|
| 195 |
+
"model-00162-of-00163.safetensors",
|
| 196 |
+
"model-00163-of-00163.safetensors"
|
| 197 |
+
]
|
| 198 |
+
}
|
config.official.yaml
ADDED
|
@@ -0,0 +1,141 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# ================ Train Config ================ #
|
| 2 |
+
lyric_processor:
|
| 3 |
+
max_dur: 270
|
| 4 |
+
min_dur: 30
|
| 5 |
+
prompt_len: 10
|
| 6 |
+
pad_to_max: true
|
| 7 |
+
|
| 8 |
+
|
| 9 |
+
# ================ Audio tokenzier ================ #
|
| 10 |
+
audio_tokenizer_checkpoint: Flow1dVAE1rvq_./ckpt/model_1rvq/model_2_fixed.safetensors
|
| 11 |
+
audio_tokenizer_frame_rate: 25
|
| 12 |
+
audio_tokenizer_code_depth: 1
|
| 13 |
+
sample_rate: 48000
|
| 14 |
+
|
| 15 |
+
audio_tokenizer_checkpoint_sep: Flow1dVAESeparate_./ckpt/model_septoken/model_2.safetensors
|
| 16 |
+
audio_tokenizer_frame_rate_sep: 25
|
| 17 |
+
audio_tokenizer_code_depth_sep: 2
|
| 18 |
+
sample_rate_sep: 48000
|
| 19 |
+
|
| 20 |
+
# ================ VAE ================ #
|
| 21 |
+
vae_config: ./ckpt/vae/stable_audio_1920_vae.json
|
| 22 |
+
vae_model: ./ckpt/vae/autoencoder_music_1320k.ckpt
|
| 23 |
+
|
| 24 |
+
# ================== LM =========================== #
|
| 25 |
+
lm:
|
| 26 |
+
lm_type: Llama # [Llama]
|
| 27 |
+
dim: 2048
|
| 28 |
+
intermediate_size: 11008
|
| 29 |
+
num_heads: 16
|
| 30 |
+
num_layers: 36
|
| 31 |
+
num_layers_sub: 12
|
| 32 |
+
code_depth: 3
|
| 33 |
+
code_size: 16384
|
| 34 |
+
max_position_embeddings: 10000
|
| 35 |
+
max_position_embeddings_sub: 10000
|
| 36 |
+
rope_theta: 500000.0
|
| 37 |
+
rope_theta_sub: 500000.0
|
| 38 |
+
dropout: 0.0
|
| 39 |
+
use_flash_attn_2: true
|
| 40 |
+
activation: gelu
|
| 41 |
+
norm_first: true
|
| 42 |
+
bias_ff: false
|
| 43 |
+
bias_attn: false
|
| 44 |
+
causal: true
|
| 45 |
+
custom: false
|
| 46 |
+
memory_efficient: true
|
| 47 |
+
attention_as_float32: false
|
| 48 |
+
layer_scale: null
|
| 49 |
+
positional_embedding: sin
|
| 50 |
+
xpos: false
|
| 51 |
+
checkpointing: torch
|
| 52 |
+
weight_init: gaussian
|
| 53 |
+
depthwise_init: current
|
| 54 |
+
zero_bias_init: true
|
| 55 |
+
norm: layer_norm
|
| 56 |
+
cross_attention: false
|
| 57 |
+
qk_layer_norm: false
|
| 58 |
+
qk_layer_norm_cross: false
|
| 59 |
+
attention_dropout: null
|
| 60 |
+
kv_repeat: 1
|
| 61 |
+
|
| 62 |
+
codebooks_pattern:
|
| 63 |
+
modeling: delay
|
| 64 |
+
delay:
|
| 65 |
+
delays: [ 0, 250, 250 ]
|
| 66 |
+
flatten_first: 0
|
| 67 |
+
empty_initial: 0
|
| 68 |
+
|
| 69 |
+
# ================ Conditioners ===================== #
|
| 70 |
+
classifier_free_guidance:
|
| 71 |
+
# drop all conditions simultaneously
|
| 72 |
+
training_dropout: 0.15
|
| 73 |
+
inference_coef: 1.5
|
| 74 |
+
|
| 75 |
+
attribute_dropout:
|
| 76 |
+
# drop each condition separately
|
| 77 |
+
args:
|
| 78 |
+
active_on_eval: false
|
| 79 |
+
text:
|
| 80 |
+
description: 0.0
|
| 81 |
+
type_info: 0.2
|
| 82 |
+
audio:
|
| 83 |
+
prompt_audio: 0.5
|
| 84 |
+
|
| 85 |
+
|
| 86 |
+
use_text_training: True
|
| 87 |
+
fuser:
|
| 88 |
+
sum: []
|
| 89 |
+
prepend: [ description, prompt_audio, type_info ] # this order is the SAME with the input concatenation order
|
| 90 |
+
|
| 91 |
+
conditioners:
|
| 92 |
+
prompt_audio:
|
| 93 |
+
model: qt_embedding
|
| 94 |
+
qt_embedding:
|
| 95 |
+
code_size: 16384
|
| 96 |
+
code_depth: 3
|
| 97 |
+
max_len: ${eval:${prompt_len}*${audio_tokenizer_frame_rate}+2} # 25*10+2+1
|
| 98 |
+
description:
|
| 99 |
+
model: QwTokenizer
|
| 100 |
+
QwTokenizer:
|
| 101 |
+
token_path: third_party/Qwen2-7B
|
| 102 |
+
max_len: 600
|
| 103 |
+
add_token_list: ${load_yaml:conf/vocab.yaml}
|
| 104 |
+
type_info:
|
| 105 |
+
model: QwTextTokenizer
|
| 106 |
+
QwTextTokenizer:
|
| 107 |
+
token_path: third_party/Qwen2-7B
|
| 108 |
+
max_len: 100
|
| 109 |
+
|
| 110 |
+
offload:
|
| 111 |
+
audiolm:
|
| 112 |
+
offload_module: self
|
| 113 |
+
cpu_mem_gb: 0
|
| 114 |
+
pre_copy_step: 1
|
| 115 |
+
clean_cache_after_forward: false
|
| 116 |
+
dtype: torch.float16
|
| 117 |
+
offload_layer_dict:
|
| 118 |
+
transformer: 4
|
| 119 |
+
transformer2: 4
|
| 120 |
+
ignore_layer_list: []
|
| 121 |
+
clean_cache_wrapper:
|
| 122 |
+
module: self
|
| 123 |
+
method_name: _sample_next_token
|
| 124 |
+
diff_mem_gb_thre: 5
|
| 125 |
+
debug: false
|
| 126 |
+
|
| 127 |
+
wav_tokenizer_diffusion:
|
| 128 |
+
offload_module: self.model.model
|
| 129 |
+
pre_copy_step: 1
|
| 130 |
+
clean_cache_after_forward: false
|
| 131 |
+
cpu_mem_gb: -1
|
| 132 |
+
dtype: null
|
| 133 |
+
offload_layer_dict:
|
| 134 |
+
cfm_wrapper: 5
|
| 135 |
+
hubert: 4
|
| 136 |
+
ignore_layer_list: []
|
| 137 |
+
clean_cache_wrapper:
|
| 138 |
+
module: self.model.model.cfm_wrapper.estimator
|
| 139 |
+
method_name: forward
|
| 140 |
+
diff_mem_gb_thre: 1
|
| 141 |
+
debug: false
|
mlx_manifest.json
ADDED
|
@@ -0,0 +1,198 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
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|
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|
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|
|
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|
|
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|
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|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"format": "songgeneration-mlx-audiolm",
|
| 3 |
+
"source": "tencent/SongGeneration",
|
| 4 |
+
"official_code": "https://github.com/tencent-ailab/songgeneration",
|
| 5 |
+
"variant": "v2-large",
|
| 6 |
+
"precision": "bfloat16",
|
| 7 |
+
"runtime": {
|
| 8 |
+
"hidden_size": 2048,
|
| 9 |
+
"intermediate_size": 11008,
|
| 10 |
+
"num_heads": 16,
|
| 11 |
+
"num_layers": 36,
|
| 12 |
+
"num_layers_sub": 12,
|
| 13 |
+
"code_depth": 3,
|
| 14 |
+
"code_size": 16384,
|
| 15 |
+
"prompt_len": 10,
|
| 16 |
+
"frame_rate": 25,
|
| 17 |
+
"max_position_embeddings": 10000,
|
| 18 |
+
"max_position_embeddings_sub": 10000,
|
| 19 |
+
"rope_theta": 500000.0,
|
| 20 |
+
"rope_theta_sub": 500000.0,
|
| 21 |
+
"cfg_coef": 1.5
|
| 22 |
+
},
|
| 23 |
+
"components": {
|
| 24 |
+
"audiolm": "converted to MLX safetensors",
|
| 25 |
+
"qwen_tokenizer": "copied for lyric/style tokenization",
|
| 26 |
+
"audio_decoder": "use official PyTorch Flow1dVAE/separate tokenizer bridge for now"
|
| 27 |
+
},
|
| 28 |
+
"skipped_keys": [
|
| 29 |
+
"audiolm.out_norm.weight",
|
| 30 |
+
"audiolm.out_norm.bias",
|
| 31 |
+
"audiolm.transformer2.lm_head.weight"
|
| 32 |
+
],
|
| 33 |
+
"weight_files": [
|
| 34 |
+
"model-00001-of-00163.safetensors",
|
| 35 |
+
"model-00002-of-00163.safetensors",
|
| 36 |
+
"model-00003-of-00163.safetensors",
|
| 37 |
+
"model-00004-of-00163.safetensors",
|
| 38 |
+
"model-00005-of-00163.safetensors",
|
| 39 |
+
"model-00006-of-00163.safetensors",
|
| 40 |
+
"model-00007-of-00163.safetensors",
|
| 41 |
+
"model-00008-of-00163.safetensors",
|
| 42 |
+
"model-00009-of-00163.safetensors",
|
| 43 |
+
"model-00010-of-00163.safetensors",
|
| 44 |
+
"model-00011-of-00163.safetensors",
|
| 45 |
+
"model-00012-of-00163.safetensors",
|
| 46 |
+
"model-00013-of-00163.safetensors",
|
| 47 |
+
"model-00014-of-00163.safetensors",
|
| 48 |
+
"model-00015-of-00163.safetensors",
|
| 49 |
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"model-00016-of-00163.safetensors",
|
| 50 |
+
"model-00017-of-00163.safetensors",
|
| 51 |
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"model-00018-of-00163.safetensors",
|
| 52 |
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|
| 53 |
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"model-00020-of-00163.safetensors",
|
| 54 |
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|
| 55 |
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|
| 56 |
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"model-00023-of-00163.safetensors",
|
| 57 |
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"model-00024-of-00163.safetensors",
|
| 58 |
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"model-00025-of-00163.safetensors",
|
| 59 |
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"model-00026-of-00163.safetensors",
|
| 60 |
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|
| 61 |
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"model-00028-of-00163.safetensors",
|
| 62 |
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"model-00029-of-00163.safetensors",
|
| 63 |
+
"model-00030-of-00163.safetensors",
|
| 64 |
+
"model-00031-of-00163.safetensors",
|
| 65 |
+
"model-00032-of-00163.safetensors",
|
| 66 |
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|
| 67 |
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|
| 68 |
+
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|
| 69 |
+
"model-00036-of-00163.safetensors",
|
| 70 |
+
"model-00037-of-00163.safetensors",
|
| 71 |
+
"model-00038-of-00163.safetensors",
|
| 72 |
+
"model-00039-of-00163.safetensors",
|
| 73 |
+
"model-00040-of-00163.safetensors",
|
| 74 |
+
"model-00041-of-00163.safetensors",
|
| 75 |
+
"model-00042-of-00163.safetensors",
|
| 76 |
+
"model-00043-of-00163.safetensors",
|
| 77 |
+
"model-00044-of-00163.safetensors",
|
| 78 |
+
"model-00045-of-00163.safetensors",
|
| 79 |
+
"model-00046-of-00163.safetensors",
|
| 80 |
+
"model-00047-of-00163.safetensors",
|
| 81 |
+
"model-00048-of-00163.safetensors",
|
| 82 |
+
"model-00049-of-00163.safetensors",
|
| 83 |
+
"model-00050-of-00163.safetensors",
|
| 84 |
+
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|
| 85 |
+
"model-00052-of-00163.safetensors",
|
| 86 |
+
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|
| 87 |
+
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|
| 88 |
+
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|
| 89 |
+
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|
| 90 |
+
"model-00057-of-00163.safetensors",
|
| 91 |
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|
| 92 |
+
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|
| 93 |
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|
| 94 |
+
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|
| 95 |
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|
| 96 |
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|
| 97 |
+
"model-00064-of-00163.safetensors",
|
| 98 |
+
"model-00065-of-00163.safetensors",
|
| 99 |
+
"model-00066-of-00163.safetensors",
|
| 100 |
+
"model-00067-of-00163.safetensors",
|
| 101 |
+
"model-00068-of-00163.safetensors",
|
| 102 |
+
"model-00069-of-00163.safetensors",
|
| 103 |
+
"model-00070-of-00163.safetensors",
|
| 104 |
+
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|
| 105 |
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|
| 106 |
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|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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|
| 125 |
+
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|
| 126 |
+
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|
| 127 |
+
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|
| 128 |
+
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|
| 129 |
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|
| 130 |
+
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|
| 131 |
+
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|
| 132 |
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|
| 133 |
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|
| 134 |
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|
| 135 |
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|
| 136 |
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|
| 137 |
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|
| 138 |
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|
| 139 |
+
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|
| 140 |
+
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|
| 141 |
+
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|
| 142 |
+
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|
| 143 |
+
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|
| 144 |
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|
| 145 |
+
"model-00112-of-00163.safetensors",
|
| 146 |
+
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