base_model: MultiverseComputingCAI/Qwen3-Next-80B-A3B-Thinking-Uncensored
pipeline_tag: text-generation
tags:
- uncensored
- abliteration
- mlx
- mlx-my-repo
license: apache-2.0
Wwayu/Qwen3-Next-80B-A3B-Thinking-Uncensored-mlx-6Bit
The Model Wwayu/Qwen3-Next-80B-A3B-Thinking-Uncensored-mlx-6Bit was converted to MLX format from MultiverseComputingCAI/Qwen3-Next-80B-A3B-Thinking-Uncensored using mlx-lm version 0.28.3.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("Wwayu/Qwen3-Next-80B-A3B-Thinking-Uncensored-mlx-6Bit")
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)