How to use nsalerni/gemma-4-e2b-flowcast-v3 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("nsalerni/gemma-4-e2b-flowcast-v3") prompt = "Once upon a time in" text = generate(model, tokenizer, prompt=prompt, verbose=True)
How to use nsalerni/gemma-4-e2b-flowcast-v3 with MLX LM:
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "nsalerni/gemma-4-e2b-flowcast-v3" --prompt "Once upon a time"
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