license: apache-2.0 base_model: AEON-7/Qwen3.6-27B-AEON-Ultimate-Uncensored-BF16 language:

en
zh
multilingual library_name: transformers pipeline_tag: text-generation tags:
abliterated
uncensored
qwen3
qwen3.6
bf16
bfloat16
hybrid-attention
mamba
gated-deltanet
abliterix
fernflower-ssm-repair
aeon
a100
h100
pre-blackwell
multi-gpu
fine-tuning
sm_80
sm_90
mlx
mlx-my-repo

usermma/Qwen3.6-27B-AEON-Ultimate-Uncensored-BF16-mlx-fp16

The Model usermma/Qwen3.6-27B-AEON-Ultimate-Uncensored-BF16-mlx-fp16 was converted to MLX format from AEON-7/Qwen3.6-27B-AEON-Ultimate-Uncensored-BF16 using mlx-lm version 0.31.2.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("usermma/Qwen3.6-27B-AEON-Ultimate-Uncensored-BF16-mlx-fp16")

prompt="hello"

if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, tokenize=False, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate model, tokenizer = load("usermma/Qwen3.6-27B-AEON-Ultimate-Uncensored-BF16-mlx-fp16") prompt="hello" if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None: messages = [{"role": "user", "content": prompt}] prompt = tokenizer.apply_chat_template( messages, tokenize=False, add_generation_prompt=True ) response = generate(model, tokenizer, prompt=prompt, verbose=True)