Qwen3-30B-A3B-Claude-4.5-Opus-High-Reasoning-2507-ABLITERATED-UNCENSORED-V2-qx86-hi-mlx

Brainwaves

           arc   arc/e boolq hswag obkqa piqa  wino
qx86-hi    0.375,0.472,0.687,0.652,0.380,0.778,0.605

Qwen3-30B-A3B-Claude-4.5-Opus-High-Reasoning-2507
qx86-hi    0.398,0.458,0.823,0.650,0.388,0.776,0.618

Qwen3-30B-A3B-Thinking-2507-512k
qx6        0.413,0.449,0.677,0.635,0.392,0.767,0.665

This model Qwen3-30B-A3B-Claude-4.5-Opus-High-Reasoning-2507-ABLITERATED-UNCENSORED-V2-qx86-hi-mlx was converted to MLX format from DavidAU/Qwen3-30B-A3B-Claude-4.5-Opus-High-Reasoning-2507-ABLITERATED-UNCENSORED-V2 using mlx-lm version 0.30.7.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("Qwen3-30B-A3B-Claude-4.5-Opus-High-Reasoning-2507-ABLITERATED-UNCENSORED-V2-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)