license: apache-2.0
base_model: huihui-ai/Huihui-QwenLong-L1.5-30B-A3B-abliterated
pipeline_tag: text-generation
library_name: transformers
tags:

• abliterated
• uncensored
• mlx
• mlx-my-repo

McG-221/Huihui-QwenLong-L1.5-30B-A3B-abliterated-mlx-8Bit

The Model McG-221/Huihui-QwenLong-L1.5-30B-A3B-abliterated-mlx-8Bit was converted to MLX format from huihui-ai/Huihui-QwenLong-L1.5-30B-A3B-abliterated using mlx-lm version 0.28.3.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("McG-221/Huihui-QwenLong-L1.5-30B-A3B-abliterated-mlx-8Bit")

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)