Downloads · 30 days
35
2% of all-time downloads
Wwayu/GLM-4.6-REAP-218B-A32B-mlx-3Bit
GLM-4.6-REAP-218B-A32B-mlx-3Bit is a text generation model from Wwayu. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.
The Model Wwayu/GLM-4.6-REAP-218B-A32B-mlx-3Bit was converted to MLX format from cerebras/GLM-4.6-REAP-218B-A32B using mlx-lm version 0.26.4.
Downloads · 30 days
35
2% of all-time downloads
All-time downloads
1.8K
Public
Parameters
218B
95.6 GB on disk
Likes
2
Public
Click a slice to open those files.
.safetensors95.6 GB · 100%
How the weights are stored.
U32218B · 100%
From the Hugging Face model README
The Model Wwayu/GLM-4.6-REAP-218B-A32B-mlx-3Bit was converted to MLX format from cerebras/GLM-4.6-REAP-218B-A32B using mlx-lm version 0.26.4.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("Wwayu/GLM-4.6-REAP-218B-A32B-mlx-3Bit")
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)