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1 arc arc/e boolq hswag obkqa piqa wino
2qx86-hi 0.607,0.787,0.870,0.720,0.484,0.797,0.708
3qx64-hi 0.586,0.778,0.867,0.717,0.466,0.798,0.710
4mxfp4 0.561,0.749,0.857,0.712,0.432,0.781,0.709
5
6gemma-3-27b-it-heretic
7q8 0.557,0.711,0.868,0.533,0.452,0.706,0.695
8
9gemma-3-12b-it-vl-GLM-4.7-Flash-Heretic-Uncensored-Thinking
10qx86-hi 0.585,0.756,0.874,0.724,0.462,0.798,0.717
11
12gemma-3-12b-it-vl-Polaris-Heretic-Uncensored-Thinking
13qx86-hi 0.619,0.791,0.859,0.705,0.482,0.765,0.714
14
15Perplexity:
16glm-4.7 12.799 ± 0.128
17polaris 14.909 ± 0.155
18
19merged 10.553 ± 0.101 pip install mlx-lm1from mlx_lm import load, generate
2
3model, tokenizer = load("gemma-3-12b-it-vl-GLM-4.7-Flash-Polaris-Heretic-Uncensored-Thinking-qx86-hi-mlx")
4
5prompt = "hello"
6
7if tokenizer.chat_template is not None:
8 messages = [{"role": "user", "content": prompt}]
9 prompt = tokenizer.apply_chat_template(
10 messages, add_generation_prompt=True, return_dict=False,
11 )
12
13response = generate(model, tokenizer, prompt=prompt, verbose=True)