metadata
			license: mit
language:
  - en
  - zh
pipeline_tag: text-generation
library_name: mlx
base_model: zai-org/GLM-4.5-Air
tags:
  - mlx
mlx-community/GLM-4.5-Air-8bit
This model mlx-community/GLM-4.5-Air-8bit was converted to MLX format from zai-org/GLM-4.5-Air using mlx-lm version 0.26.0.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/GLM-4.5-Air-8bit")
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)