README.md

metadata

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)