ElectricAlexis/NotaGen

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1223 stars · 134 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

NotaGen is a symbolic music generation model that produces high-quality classical sheet music using LLM-style training paradigms: pre-training on 1.6M pieces, fine-tuning on ~9K classical compositions with period-composer-instrumentation prompts, and CLaMP-DPO reinforcement learning. It is released in Python with pre-trained weights (110M-516M parameters) on HuggingFace under an MIT license.

Use cases

• generate classical sheet music from a period-composer-instrumentation prompt
• fine-tune a symbolic music generation model on my own compositions
• experiment with DPO reinforcement learning for music generation
• generate ABC notation scores with a language model
• download pretrained music generation model weights
• research controllable symbolic music generation

When to choose

• you need classical-style sheet music generation conditioned on composer/instrumentation prompts
• you want a research-grade symbolic music model with open weights and MIT license
• you want to study or extend LLM training paradigms (pretrain, SFT, DPO) applied to music

When to avoid

• you need audio synthesis or MIDI production rather than symbolic notation
• you want a polished end-user music app rather than a research codebase
• you lack a GPU or cannot run PyTorch training/inference locally

Facets

library · maturity active

machine-learning deep-learning llm-training llm-inference reinforcement-learning data-generation artificial-intelligence machine-learning deep-learning large-language-models media python cross-platform symbolic-music-generation abc-notation sheet-music clamp-dpo transformer huggingface-weights research-model classical-music audio gpu linux

Member repositories

For agents

markdown · JSON · MCP: product_card(name="ElectricAlexis/NotaGen")