Runs on Big Macs
					Collection
				
96GB and up
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				39 items
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				Updated
					
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					5
This quant was converted with page size 32.
It is a bit larger than the default q3 quant made with page size 64, and should perform slightly better.
Similar quant versions are available for q4, q5, and q6
This model GLM-4.5-Air-q3-hi-mlx was converted to MLX format from zai-org/GLM-4.5-Air using mlx-lm version 0.26.1.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("GLM-4.5-Air-q3-hi-mlx")
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)
Base model
zai-org/GLM-4.5-Air