Instructions to use Daizee/Gemma3-Callous-Calla-4B-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Daizee/Gemma3-Callous-Calla-4B-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("Daizee/Gemma3-Callous-Calla-4B-mlx") prompt = "Once upon a time in" text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
- MLX LM
How to use Daizee/Gemma3-Callous-Calla-4B-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 "Daizee/Gemma3-Callous-Calla-4B-mlx" --prompt "Once upon a time"
- Xet hash:
- 0aa6ac6e08320a1e31ecdea130faeb84603fd819327fc94195cf7bccac22ca42
- Size of remote file:
- 33.4 MB
- SHA256:
- b6dd65c076fde93cac69e6206ec714e68e4fe5b1279744f68d328ed90f2a9248
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