metadata
base_model: aimeri/spoomplesmaxx-glm4-32B
tags:
- text-generation-inference
- transformers
- unsloth
- glm4
- mlx
- mlx-my-repo
license: apache-2.0
language:
- en
aimeri/spoomplesmaxx-glm4-32B-mlx-8Bit
The Model aimeri/spoomplesmaxx-glm4-32B-mlx-8Bit was converted to MLX format from aimeri/spoomplesmaxx-glm4-32B using mlx-lm version 0.29.1.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("aimeri/spoomplesmaxx-glm4-32B-mlx-8Bit")
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)