Runs on Big Macs
Collection
96GB and up
•
5 items
•
Updated
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.
I will also upload an xs quant made with page size 128, to see the difference.
Similar quant versions will be 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