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Oscilla/gemma-3n-E4B-it-mlx-4Bit

sourceHugging Facegemmaupdated 28d agoView on Hugging Face

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Oscilla/gemma-3n-E4B-it-mlx-4Bit

The Model Oscilla/gemma-3n-E4B-it-mlx-4Bit was converted to MLX format from google/gemma-3n-E4B-it using mlx-lm version 0.31.2.

Use with mlx

bash

pip install mlx-lm

python

from mlx_lm import load, generate

model, tokenizer = load("Oscilla/gemma-3n-E4B-it-mlx-4Bit")

prompt="hello"

if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, tokenize=False, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)