library_name: mlx
license: apache-2.0
license_link: https://huggingface.co/Jackrong/Qwen3.5-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled/blob/main/LICENSE
pipeline_tag: text-generation
base_model: huihui-ai/Huihui-Qwen3.5-35B-A3B-Claude-4.6-Opus-abliterated
tags:
- abliterated
- uncensored
- Claude
- reasoning
- chain-of-thought
- Dense
- mlx
mlx-community/Huihui-Qwen3.5-35B-A3B-Claude-4.6-Opus-abliterated-6bit
This model mlx-community/Huihui-Qwen3.5-35B-A3B-Claude-4.6-Opus-abliterated-6bit was
converted to MLX format from huihui-ai/Huihui-Qwen3.5-35B-A3B-Claude-4.6-Opus-abliterated
using mlx-lm version 0.31.1.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/Huihui-Qwen3.5-35B-A3B-Claude-4.6-Opus-abliterated-6bit")
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)