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Wwayu/GLM-4.6-REAP-218B-A32B-Derestricted-mlx-2Bit
GLM-4.6-REAP-218B-A32B-Derestricted-mlx-2Bit 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-Derestricted-mlx-2Bit was converted to MLX format from ArliAI/GLM-4.6-REAP-218B-A32B-Derestricted using mlx-lm version 0.29.1.
Downloads · 30 days
47
5% of all-time downloads
All-time downloads
959
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.safetensors68.3 GB · 100%
How the weights are stored.
U32218B · 100%
From the Hugging Face model README
The Model Wwayu/GLM-4.6-REAP-218B-A32B-Derestricted-mlx-2Bit was converted to MLX format from ArliAI/GLM-4.6-REAP-218B-A32B-Derestricted using mlx-lm version 0.29.1.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("Wwayu/GLM-4.6-REAP-218B-A32B-Derestricted-mlx-2Bit")
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)