library_name: mlx
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen3-8B/blob/main/LICENSE
pipeline_tag: text-generation
base_model: huihui-ai/Qwen3-8B-abliterated
tags:
- chat
- abliterated
- uncensored
- mlx
kieron-buyskes/huihui-ai-Qwen3-8B-abliterated-8bit
This model kieron-buyskes/huihui-ai-Qwen3-8B-abliterated-8bit was
converted to MLX format from huihui-ai/Qwen3-8B-abliterated
using mlx-lm version 0.24.0.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("kieron-buyskes/huihui-ai-Qwen3-8B-abliterated-8bit")
prompt = "hello"
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)