Text Generation
MLX
Safetensors
English
qwen3-mdlm-adaptive-hybrid
qwen3
diffusion
text-diffusion
chat
Instructions to use goldenfox/marimo-0.6b-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use goldenfox/marimo-0.6b-mlx 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("goldenfox/marimo-0.6b-mlx") 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 goldenfox/marimo-0.6b-mlx with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "goldenfox/marimo-0.6b-mlx" --prompt "Once upon a time"
- Atomic Chat
- Xet hash:
- 0cb4053d497979313e7432fac8211ad9e362bf6b779fdf8eb0f3c575af853cdd
- Size of remote file:
- 11.4 MB
- SHA256:
- 561587f831d1efad45896c86901cc142551f8f22c8ddbe097890f8f0f0c1bf15
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