base_model: llmfan46/gemma-4-26B-A4B-it-qat-q4_0-unquantized-uncensored-heretic
license: apache-2.0
license_link: https://ai.google.dev/gemma/docs/gemma_4_license
language: en
tags:
- mlx
- heretic
- uncensored
- decensored
- abliterated
- ara
library_name: mlx
pipeline_tag: text-generation
ailexleon/gemma-4-26B-A4B-it-qat-uncensored-heretic-mlx-lm-4Bit
Converted to MLX format from llmfan46/gemma-4-26B-A4B-it-qat-q4_0-unquantized-uncensored-heretic using mlx-lm version 0.31.3.
If you need vision capabilities, use ailexleon/gemma-4-26B-A4B-it-qat-uncensored-heretic-mlx-vlm-4Bit.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("ailexleon/gemma-4-26B-A4B-it-qat-uncensored-heretic-mlx-lm-4Bit")
prompt = "hello"
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True, return_dict=False,
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)