The IndexGuidesNews
AboutContribute

Parameter descriptions:

Base Model Data
Are datasources for training the base model comprehensively documented and made available? In case a distinction between base (foundation) and end (user) model is not applicable, this mirrors the end model data entries.
End User Model Data
Are datasources for training the model that the end user interacts with comprehensively documented and made available?
Base Model Weights
Are the weights of the base models made freely available? In case a distinction between base (foundation) and end (user) model is not applicable, this mirrors the end model data entries.
End User Model Weights
Are the weights of the model that the end user interacts with made freely available?
Training Code
Is the source code of dataset processing, model training and tuning comprehensively made available?
Code Documentation
Is the source code of datasource processing, model training and tuning comprehensively documented?
Hardware Architecture
Is the hardware architecture used for datasource processing and model training comprehensively documented?
Preprint
Are archived preprint(s) are available that detail all major parts of the system including datasource processing, model training and tuning steps?
Paper
Are peer-reviewed scientific publications available that detail all major parts of the system including datasource processing, model training and tuning steps?
Modelcard
Is a model card available in standardized format that provides comprehensive insight on model architecture, training, fine-tuning, and evaluation?
Datasheet
Is a datasheet as defined in "Datasheets for Datasets" (Gebru et al. 2021) available?
Package
Is a packaged release of the model available on a software repository (e.g. a Python Package Index, Homebrew)?
API and Meta Prompts
Is an API available that provides unrestricted access to the model (other than security and CDN restrictions)? If applicable, this entry also collects information on the use and availability of meta prompts.
Licenses
Is the project fully covered by Open Source Initiative (OSI)-approved licenses, including all data sources and training pipeline code?

MusicLDM

by University of California San Diego, Mila-Quebec AI Institute, University of Surre and LAION

Music generation model
Audio
Full
https://github.com/RetroCirce/MusicLDM
musicldm
mudicldm
(undefined)
(Not available)
August 2023
Availability
Base Model Data
MusicLDM is trained on the Audiostock dataset, which contains 9000 music tracks for training and 1000 tracks for testing. Dataset is not directly provided, no information about the original sources accessibility or requirements is provided.
End User Model Data
MusicLDM is trained on the Audiostock dataset, which contains 9000 music tracks for training and 1000 tracks for testing. Dataset is not directly provided, no information about the original sources accessibility or requirements is provided.
Base Model Weights
https://drive.google.com/drive/folders/15VDVcIgf99YRM5oGXhRxa_Rowl54uWho
End User Model Weights
https://drive.google.com/drive/folders/15VDVcIgf99YRM5oGXhRxa_Rowl54uWho
Training Code
https://github.com/RetroCirce/MusicLDM
Documentation
Code Documentation
https://github.com/RetroCirce/MusicLDM/blob/main/README.md
Hardware Architecture
Training procedure and architecture is documented in the preprint and in the appendix additional page for the peer-reviewed version (https://musicldm.github.io/appendix/).
https://arxiv.org/pdf/2308.01546
Preprint
https://arxiv.org/pdf/2308.01546
Paper
Accepted at ICASSP 2024
https://ieeexplore.ieee.org/document/10447265
Modelcard
https://huggingface.co/ucsd-reach/musicldm
Datasheet
Content is limited to data sources origin and details on how to reproduce the data collection. Details on curation and other considerations, such as consent, limitations and selection strategies are missing.
https://github.com/LAION-AI/audio-dataset/blob/main/data_card/Audiostock.md
Access
Package
API and Meta Prompts
API is shut down temporarily. Should be released again soon.
Licenses
Attribution-NonCommercial-ShareAlike 4.0 International
https://github.com/RetroCirce/MusicLDM/blob/main/LICENSE
Is this information not up to date?
Contribute here ->

Supported by the Centre for Language Studies and the Dutch Research Council. Website design & development © 2024 by BSTN. This version of the index generated 13 Aug 2025, website content last updated 15 Aug 2025.