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1 arc arc/e boolq hswag obkqa piqa wino
2mxfp8 0.496,0.692,0.864,0.666,0.466,0.770,0.632
3
4Quant Perplexity Peak Memory Tokens/sec
5mxfp8 9.518 ± 0.094 11.75 GB 6861granite-4.1-8b
2mxfp8 0.486,0.666,0.875,0.636,0.450,0.766,0.631
3
4Quant Perplexity Peak Memory Tokens/sec
5mxfp8 10.134 ± 0.107 12.17 GB 668pip install mlx-lm1from mlx_lm import load, generate
2
3model, tokenizer = load("granite-4.1-8b-Abliterated-AND-Disinhibited-mxfp8-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)