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)