library_name: transformers
license: other
license_name: qwen
license_link: https://huggingface.co/huihui-ai/Qwen2.5-72B-Instruct-abliterated/blob/main/LICENSE
language:
- en
pipeline_tag: text-generation
base_model: huihui-ai/Qwen2.5-72B-Instruct-abliterated
tags: - chat
- abliterated
- uncensored
- mlx
- mlx-my-repo
YuHaaa/Qwen2.5-72B-Instruct-abliterated-mlx-4Bit
The Model YuHaaa/Qwen2.5-72B-Instruct-abliterated-mlx-4Bit was converted to MLX format from huihui-ai/Qwen2.5-72B-Instruct-abliterated using mlx-lm version 0.22.1.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("YuHaaa/Qwen2.5-72B-Instruct-abliterated-mlx-4Bit")
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)