metadata

license: mit
language:
  - zh
  - en
pipeline_tag: text-generation
library_name: mlx
tags:
  - mlx
base_model: THUDM/GLM-4-32B-Base-0414

mlx-community/GLM-4-32B-Base-0414-8bit

This model mlx-community/GLM-4-32B-Base-0414-8bit was converted to MLX format from THUDM/GLM-4-32B-Base-0414 using mlx-lm version 0.23.0.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/GLM-4-32B-Base-0414-8bit")

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)