Instructions to use N8Programs/Musicroll-50M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use N8Programs/Musicroll-50M with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # if on a CUDA device, also pip install mlx[cuda] # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("N8Programs/Musicroll-50M") prompt = "Once upon a time in" text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- MLX LM
How to use N8Programs/Musicroll-50M with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "N8Programs/Musicroll-50M" --prompt "Once upon a time"
Musicroll-50M
Musicroll-50M is a small Qwen3-style causal language model over a 259-token byte-level music vocabulary. It was used as the MusicRoll negative-control model in the replication artifact for "Many Next-Token Predictors are In-Context Learners".
The checkpoint is provided as model.safetensors with a compact tokenizer:
- vocabulary size: 259
- hidden size: 512
- layers: 16
- attention heads: 4
- key/value heads: 2
- context length: 4096
- BOS/EOS/PAD token ids: 256/257/258
The bitstring replication harness encodes tasks as piano-roll-like text and loads this checkpoint through the local MLX model loader.
Intended Use
This upload is primarily for reproducing the MusicRoll negative-control runs in the ICLManyReplication artifact. General music-generation behavior has not been characterized here.
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Model size
50.6M params
Tensor type
F32
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Hardware compatibility
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