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Duplicate from HeartMuLa/MuLaCover
Browse filesCo-authored-by: HeartMuLa <HeartMuLa@users.noreply.huggingface.co>
- .gitattributes +35 -0
- MODEL_LICENSE +64 -0
- README.md +134 -0
- SHA256SUMS +9 -0
- config.json +17 -0
- gen_config.json +12 -0
- model-00001-of-00005.safetensors +3 -0
- model-00002-of-00005.safetensors +3 -0
- model-00003-of-00005.safetensors +3 -0
- model-00004-of-00005.safetensors +3 -0
- model-00005-of-00005.safetensors +3 -0
- model.safetensors.index.json +667 -0
- tokenizer.json +0 -0
.gitattributes
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saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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MODEL_LICENSE
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| 1 |
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MuLaCover Model Weight and Output Terms
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Copyright (c) 2026 MuLa Labs. All rights reserved except as expressly granted
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below.
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1. Scope
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These terms apply to all MuLaCover checkpoint weights distributed by MuLa
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Labs, including the MuLaCover-oss model weights and any fine-tuned, converted,
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| 10 |
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quantized, merged, or otherwise modified versions derived from those weights
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+
(collectively, the "Model Weights"). They do not replace the licenses that
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apply to MuLaCover source code or third-party components.
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+
2. Model Weight License
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The Model Weights are licensed under the Creative Commons
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Attribution-NonCommercial 4.0 International license (CC BY-NC 4.0):
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https://creativecommons.org/licenses/by-nc/4.0/legalcode
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You may copy, share, and adapt the Model Weights only for noncommercial
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purposes and only in compliance with CC BY-NC 4.0, including its attribution
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| 23 |
+
requirements. Attribute the Model Weights as "MuLaCover by MuLa Labs" and
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include a link to the official MuLaCover repository:
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https://github.com/HeartMuLa/MuLaCover
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3. Generated Output Restriction
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In addition to the Model Weight License, and as a condition of accessing or
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| 31 |
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using the Model Weights, you may use outputs generated with the Model Weights
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only for noncommercial purposes. "Outputs" include generated or transformed
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audio, music, MIDI, tokens, latent representations, and other material produced
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through use of the Model Weights.
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| 35 |
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Without a separate written commercial license from MuLa Labs, you may not sell,
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license for a fee, monetize, commercially distribute, commercially publish, use
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| 38 |
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in advertising, use in a paid product or service, or otherwise exploit Outputs
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| 39 |
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for commercial advantage or monetary compensation.
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| 40 |
+
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These output terms are separate terms governing use of Outputs and access to
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the Model Weights. They do not modify the text of CC BY-NC 4.0. They apply only
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to the extent MuLa Labs has rights or contractual authority to impose them and
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do not limit rights that cannot lawfully be restricted.
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+
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4. Commercial Licensing
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+
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Commercial use of the Model Weights or Outputs requires a separate written
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| 49 |
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license from MuLa Labs. Contact MuLa Labs through the official repository for
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commercial licensing inquiries.
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5. Third-Party Rights and User Responsibility
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These terms grant no rights in third-party source recordings, compositions,
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| 55 |
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lyrics, performances, datasets, trademarks, or other material. You are solely
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| 56 |
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responsible for obtaining all permissions required for your inputs and Outputs
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| 57 |
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and for complying with applicable law. Third-party components remain subject
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to their respective licenses and notices.
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| 59 |
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6. Disclaimer
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| 61 |
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TO THE EXTENT PERMITTED BY LAW, THE MODEL WEIGHTS AND OUTPUTS ARE PROVIDED
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| 63 |
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"AS IS", WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND. MULA LABS WILL NOT BE
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| 64 |
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LIABLE FOR CLAIMS, DAMAGES, OR OTHER LIABILITY ARISING FROM THEIR USE.
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README.md
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@@ -0,0 +1,134 @@
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---
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license: cc-by-nc-4.0
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library_name: mulacover
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pipeline_tag: audio-to-audio
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tags:
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- music
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- audio
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- cover
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- cover-song-generation
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- music-remix
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- remix-generation
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- text-to-music
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- symbolic-music
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---
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# MuLaCover — Cover Song & Music Remix Generation
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MuLaCover is a controllable AI cover-song and music-remix model. It transforms
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reference music using lyrics and a structured text style prompt, or generates
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from melody/chord MIDI. The standalone inference code is maintained in the
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[MuLaCover repository](https://github.com/HeartMuLa/MuLaCover).
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[HeartMuLa repository](https://github.com/HeartMuLa/heartlib) ·
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[HeartMuLa paper](https://arxiv.org/abs/2601.10547)
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> Model weights are publicly available for download. No access request is required.
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## Inputs
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Lyrics use section markers and preserved line breaks:
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```text
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[Verse]
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One lyric line
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Another lyric line
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[Chorus]
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One chorus line
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```
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Style is one UTF-8 line using named fields:
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```text
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topic:[Longing]; genre:[country]; instrument:[Strings,acoustic guitar]; mood:[hopeful]
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```
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## Download
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Download the model weights with the Hugging Face CLI. Authentication is not required:
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```bash
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hf download HeartMuLa/MuLaCover --local-dir ./ckpt/MuLaCover
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```
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Also download HeartCodec and Qwen3-Embedding-0.6B
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into sibling checkpoint directories. Reference-audio conditioning also needs
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the documented YourMT3 and ChordNet checkpoints. See the code repository for
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the complete installation and generation commands.
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## Usage
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Install the `mulacover` package and prepare all checkpoint directories using
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the [generation guide](https://github.com/HeartMuLa/MuLaCover/blob/main/examples/cover_song_generation.md).
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Run the following from the code repository root. `./ckpt` is the parent
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directory containing MuLaCover, HeartCodec, Qwen3, and the transcription models.
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```python
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import torch
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from mulacover import MuLaCoverGenPipeline
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torch.manual_seed(42)
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pipe = MuLaCoverGenPipeline.from_pretrained(
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"./ckpt",
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device=torch.device("cuda:0"),
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dtype={
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"mulacover": torch.bfloat16,
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"codec": torch.float32,
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"qwen": torch.float32,
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"transcriptor": torch.float32,
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},
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lazy_load=True,
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)
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pipe(
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{
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"ref_audio": "/path/to/reference.mp3",
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"lyrics": "assets/lyrics.txt",
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"tags": "assets/tags.txt",
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},
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save_path="cover.wav",
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)
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```
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The pipeline writes a WAV file. Use the MuLaCover package API shown above;
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this model is not a built-in Transformers model class.
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## Files
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- `config.json`: MuLaCover model architecture configuration.
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- `gen_config.json`: audio/text token identifiers used during generation.
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- `model-00001-of-00005.safetensors` … `model-00005-of-00005.safetensors`:
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| 101 |
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sharded model weights.
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| 102 |
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- `model.safetensors.index.json`: shard index.
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| 103 |
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- `tokenizer.json`: lyrics and prompt tokenizer.
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| 104 |
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- `SHA256SUMS`: release integrity checksums.
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## License and use restrictions
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The official model weights are licensed under CC BY-NC 4.0 with the additional
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terms in `MODEL_LICENSE`. Commercial use of the official weights is prohibited
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| 110 |
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without separate written authorization from MuLa Labs.
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| 111 |
+
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Outputs generated using the official weights are restricted to noncommercial
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use unless separately authorized in writing by MuLa Labs. The Apache-2.0
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| 114 |
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license covering the source-code repository does not grant commercial rights
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to these weights or their generated outputs.
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| 116 |
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| 117 |
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Users are responsible for obtaining the rights required for their lyrics,
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| 118 |
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reference audio, performances, voices, and generated works. Do not use the
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| 119 |
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model to impersonate a person deceptively or violate copyright, privacy, or
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| 120 |
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publicity rights.
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+
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## Community
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| 123 |
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Join the [MuLaCover Discord](https://discord.gg/2Qj5DXsvh) for discussion and
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| 125 |
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community support. Reproducible software defects should be reported through
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| 126 |
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the code repository's GitHub Issues.
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## Join MuLa Labs, Vera Praxis Lab
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We are always excited to meet people with a strong interest in audio and music.
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MuLa Labs has internship openings for candidates who want to build the next
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generation of music and audio technology. To apply, email your resume or CV,
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| 133 |
+
together with a short introduction, to
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| 134 |
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[contact@mulalabs.ai](mailto:contact@mulalabs.ai).
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SHA256SUMS
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79e3e522635f3171300913bb421464a87de6222182a0570b9b2ccba2a964b2b4 tokenizer.json
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3d47f3548730587973c3d22a409c21d1d8d40491cfd1590dc599cd945a9bfa29 config.json
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dbaceef28cf9f6e8c63b65e15bad128b05f36ca9beb4706fbc5c63a8fa497cdb gen_config.json
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792a99481d13d854b85b4d59b879deb3f5334a2e33f90e727a67cec0f76064f3 model.safetensors.index.json
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49e1aeef5e59b3d041a199d7b794ce109d7a4c19ddf1de007d76b6ca45db6ab1 model-00001-of-00005.safetensors
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b3a7098ac8d2bc1a36bc86b06810b7f6abe9bf6e87060acf645bfce6c2fb5cad model-00002-of-00005.safetensors
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e41847e7693378c1cec04dcac791156e9f33ef8bba6ad42c0662e207ba97a95b model-00003-of-00005.safetensors
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| 8 |
+
77502e78a03432a607c4833c309b06659a1cd60b62236335735b72c148ecab52 model-00004-of-00005.safetensors
|
| 9 |
+
7035def91cdbf20ecc44219414b8d1fedac391bb88b732424a76fe65c8612c63 model-00005-of-00005.safetensors
|
config.json
ADDED
|
@@ -0,0 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
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|
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"MuLaCover"
|
| 4 |
+
],
|
| 5 |
+
"audio_num_codebooks": 8,
|
| 6 |
+
"audio_vocab_size": 8197,
|
| 7 |
+
"backbone_flavor": "llama-3B",
|
| 8 |
+
"decoder_flavor": "llama-300M",
|
| 9 |
+
"dtype": "bfloat16",
|
| 10 |
+
"model_type": "mulacover",
|
| 11 |
+
"muq_dim": 512,
|
| 12 |
+
"peft_layer_num": 8,
|
| 13 |
+
"qwen_dim": 1024,
|
| 14 |
+
"text_vocab_size": 128256,
|
| 15 |
+
"train_tag": true,
|
| 16 |
+
"transformers_version": "4.57.6"
|
| 17 |
+
}
|
gen_config.json
ADDED
|
@@ -0,0 +1,12 @@
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|
|
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|
|
|
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|
| 1 |
+
{
|
| 2 |
+
"text_bos_id": 128000,
|
| 3 |
+
"text_eos_id": 128001,
|
| 4 |
+
"audio_eos_id": 8193,
|
| 5 |
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"empty_id": 0,
|
| 6 |
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"tag_start_id": 128021,
|
| 7 |
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"tag_end_id": 128022,
|
| 8 |
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"muq_start_id": 128023,
|
| 9 |
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"muq_end_id": 128024,
|
| 10 |
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"qwen_start_id": 128025,
|
| 11 |
+
"qwen_end_id": 128026
|
| 12 |
+
}
|
model-00001-of-00005.safetensors
ADDED
|
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| 1 |
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version https://git-lfs.github.com/spec/v1
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|
| 3 |
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size 1994713352
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model-00002-of-00005.safetensors
ADDED
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| 1 |
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version https://git-lfs.github.com/spec/v1
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|
| 3 |
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size 1981941248
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model-00003-of-00005.safetensors
ADDED
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@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 3 |
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size 1963054632
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model-00004-of-00005.safetensors
ADDED
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| 1 |
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version https://git-lfs.github.com/spec/v1
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|
| 3 |
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size 1999477480
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model-00005-of-00005.safetensors
ADDED
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| 1 |
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version https://git-lfs.github.com/spec/v1
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|
| 3 |
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size 809619536
|
model.safetensors.index.json
ADDED
|
@@ -0,0 +1,667 @@
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|
| 1 |
+
{
|
| 2 |
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"metadata": {
|
| 3 |
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"total_parameters": 4374364776,
|
| 4 |
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"total_size": 8748729552
|
| 5 |
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|
| 6 |
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"weight_map": {
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| 7 |
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"audio_embeddings.weight": "model-00004-of-00005.safetensors",
|
| 8 |
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"audio_head": "model-00001-of-00005.safetensors",
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