license: apache-2.0
base_model: roslein/Qwen3-32B-abliterated
library_name: mlx
pipeline_tag: text-generation
tags:
- mlx
litmudoc/Qwen3-32B-abliterated-MLX-Q8
This model litmudoc/Qwen3-32B-abliterated-MLX-Q8 was
converted to MLX format from roslein/Qwen3-32B-abliterated
using mlx-lm version 0.24.1.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("litmudoc/Qwen3-32B-abliterated-MLX-Q8")
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)