Text Generation
MLX
Safetensors
English
rodan-modern
rodan
tiny-language-model
apple-silicon
byte-bpe
Instructions to use bfuzzy1/Rodan-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use bfuzzy1/Rodan-Base 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("bfuzzy1/Rodan-Base") 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 bfuzzy1/Rodan-Base with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "bfuzzy1/Rodan-Base" --prompt "Once upon a time"

- Xet hash:
- ddeaf2c442e8057085dc0448f80bbd51bbedd788bc859e0580766964378c3873
- Size of remote file:
- 110 kB
- SHA256:
- 7e9d97f8850d832b0d9df453df942a12839065a3f500b33f02ddefa05c42aedc
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