gemma-3-12b-it-vl-Polaris-Heretic-AIExpert-qx86-hi-mlx

This is a nuslerp merge of:

• GXMZU/gemma-3-12b-it-ai-expert
• DavidAU/gemma-3-12b-it-vl-Polaris-Heretic-Uncensored-Thinking

Brainwaves

          arc   arc/e boolq hswag obkqa piqa  wino
qx86-hi   0.619,0.798,0.865,0.714,0.486,0.774,0.695

gemma-3-27b-it-heretic
q8        0.557,0.711,0.868,0.533,0.452,0.706,0.695

gemma-3-12b-it-heretic
qx86-hi   0.534,0.699,0.872,0.603,0.448,0.733,0.658

gemma-3-12b-it-vl-Polaris-Heretic-Uncensored-Thinking
qx86-hi   0.619,0.791,0.859,0.705,0.482,0.765,0.714

Perplexity:
polaris    14.909 ± 0.155
ai-expert 254.352 ± 6.333

AIExpert   12.412 ± 0.125

-G

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("gemma-3-12b-it-vl-Polaris-Heretic-AIExpert-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)