README.md

metadata

license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen3-Coder-30B-A3B-Instruct/blob/main/LICENSE
language:
  - en
base_model: huihui-ai/Huihui-Qwen3-Coder-30B-A3B-Instruct-abliterated
pipeline_tag: text-generation
library_name: mlx
tags:
  - abliterated
  - uncensored
  - mlx

Huihui-Qwen3-Coder-30B-A3B-Instruct-abliterated-q4-hi-mlx

This model Huihui-Qwen3-Coder-30B-A3B-Instruct-abliterated-q4-hi-mlx was converted to MLX format from huihui-ai/Huihui-Qwen3-Coder-30B-A3B-Instruct-abliterated using mlx-lm version 0.26.1.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("Huihui-Qwen3-Coder-30B-A3B-Instruct-abliterated-q4-hi-mlx")

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)