GLM4
Collection
The GLM-4 and Z1 series are powerful open-source language models excelling in reasoning, code, and complex tasks. • 15 items • Updated • 2
How to use mlx-community/GLM-4-32B-Base-0414-4bit with MLX:
# Make sure mlx-lm is installed
# pip install --upgrade mlx-lm
# if on a CUDA device, also pip install mlx[cuda]
# Generate text with mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/GLM-4-32B-Base-0414-4bit")
prompt = "Once upon a time in"
text = generate(model, tokenizer, prompt=prompt, verbose=True)How to use mlx-community/GLM-4-32B-Base-0414-4bit with MLX LM:
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "mlx-community/GLM-4-32B-Base-0414-4bit" --prompt "Once upon a time"
This model mlx-community/GLM-4-32B-Base-0414-4bit was converted to MLX format from THUDM/GLM-4-32B-Base-0414 using mlx-lm version 0.23.0.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/GLM-4-32B-Base-0414-4bit")
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)
4-bit
Base model
zai-org/GLM-4-32B-Base-0414