metadata
license: mit
thumbnail: >-
https://cdn-uploads.huggingface.co/production/uploads/6625f4a8a8d1362ebcc3851a/iyzgR89q50pp1T8HeeP15.png
base_model: ArliAI/GLM-4.5-Air-Derestricted
pipeline_tag: text-generation
tags:
- abliterated
- derestricted
- glm-4.5-air
- unlimited
- uncensored
- mlx
- mlx-my-repo
garrison/GLM-4.5-Air-Derestricted-mlx-5Bit
The Model garrison/GLM-4.5-Air-Derestricted-mlx-5Bit was converted to MLX format from ArliAI/GLM-4.5-Air-Derestricted using mlx-lm version 0.28.3.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("garrison/GLM-4.5-Air-Derestricted-mlx-5Bit")
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)