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"
| { | |
| "architectures": [ | |
| "Qwen3ForCausalLM" | |
| ], | |
| "model_type": "qwen3", | |
| "vocab_size": 259, | |
| "hidden_size": 512, | |
| "num_hidden_layers": 16, | |
| "intermediate_size": 1536, | |
| "num_attention_heads": 4, | |
| "num_key_value_heads": 2, | |
| "head_dim": 128, | |
| "hidden_act": "silu", | |
| "rms_norm_eps": 1e-06, | |
| "max_position_embeddings": 4096, | |
| "rope_theta": 1000000.0, | |
| "rope_scaling": null, | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "tie_word_embeddings": false, | |
| "use_cache": true, | |
| "bos_token_id": 256, | |
| "eos_token_id": 257, | |
| "pad_token_id": 258, | |
| "torch_dtype": "float32" | |
| } |