nightmedia/gemma-3-12b-it-vl-MiniMax-M2.1-Heretic-Uncensored-Thinking-qx86-hi-mlx
1121
gemma-3-12b-it-vl-MiniMax-M2.1-Heretic-Uncensored-Thinking-qx86-hi-mlx
Brainwaves
arc arc/e boolq hswag obkqa piqa wino
qx86-hi 0.502,0.652,0.874,0.714,0.452,0.775,0.712
gemma-3-27b-it-heretic
q8 0.557,0.711,0.868,0.533,0.452,0.706,0.695-G
This model gemma-3-12b-it-vl-MiniMax-M2.1-Heretic-Uncensored-Thinking-qx86-hi-mlx was converted to MLX format using mlx-lm version 0.30.7.
Use with mlx
pip install mlx-lmfrom mlx_lm import load, generate
model, tokenizer = load("gemma-3-12b-it-vl-MiniMax-M2.1-Heretic-Uncensored-Thinking-qx86-hi-mlx")
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)