base_model: Nabbers1999/gemma-3-27b-it-abliterated-refined-vision library_name: transformers tags:

• gemma
• gemma-3
• text-generation
• conversational
• abliterated
• mlx
• mlx-my-repo license: gemma language:
• en

McG-221/gemma-3-27b-it-abliterated-refined-vision-mlx-8Bit

The Model McG-221/gemma-3-27b-it-abliterated-refined-vision-mlx-8Bit was converted to MLX format from Nabbers1999/gemma-3-27b-it-abliterated-refined-vision using mlx-lm version 0.29.1.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("McG-221/gemma-3-27b-it-abliterated-refined-vision-mlx-8Bit")

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)