Modelpublic

cs2764/Huihui-Qwen3-30B-A3B-Instruct-2507-abliterated-mlx-6Bit-gs32

sourceHugging Faceapache-2.0updated 1y agoView on Hugging Face

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Model Card

cs2764/Huihui-Qwen3-30B-A3B-Instruct-2507-abliterated-mlx-6Bit-gs32

The Model cs2764/Huihui-Qwen3-30B-A3B-Instruct-2507-abliterated-mlx-6Bit-gs32 was converted to MLX format from huihui-ai/Huihui-Qwen3-30B-A3B-Instruct-2507-abliterated using mlx-lm version 0.26.2.

Quantization Details

This model was converted with the following quantization settings:

—Quantization Strategy: 6-bit quantization
—Group Size: 32
—Average bits per weight: 7.000

Use with mlx

bash

pip install mlx-lm

python

from mlx_lm import load, generate

model, tokenizer = load("cs2764/Huihui-Qwen3-30B-A3B-Instruct-2507-abliterated-mlx-6Bit-gs32")

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)