base_model: TrevorJS/gemma-4-26B-A4B-it-uncensored
pipeline_tag: text-generation
library_name: transformers
language:
- en
license: apache-2.0
tags: - abliteration
- uncensored
- gemma-4
- mlx
- mlx-my-repo
manhellis/gemma-4-26B-A4B-it-uncensored-mlx-4Bit
The Model manhellis/gemma-4-26B-A4B-it-uncensored-mlx-4Bit was converted to MLX format from TrevorJS/gemma-4-26B-A4B-it-uncensored using mlx-lm version 0.31.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("manhellis/gemma-4-26B-A4B-it-uncensored-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)