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n1k1tung/GLM-4.7-Flash-REAP-23B-A3B-4-bit
GLM-4.7-Flash-REAP-23B-A3B-4-bit is a text generation model from n1k1tung. Use it when you need the model to write or continue text. It is set up for mlx. The card lists the license as mit.
This model n1k1tung/GLM-4.7-Flash-REAP-23B-A3B-4-bit was converted to MLX format from cerebras/GLM-4.7-Flash-REAP-23B-A3B using mlx-lm version 0.30.5.
Downloads · 30 days
83
14% of all-time downloads
All-time downloads
606
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13 GB on disk
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.safetensors12.9 GB · 100%
How the weights are stored.
U3223B · 100%
From the Hugging Face model README
This model n1k1tung/GLM-4.7-Flash-REAP-23B-A3B-4-bit was converted to MLX format from cerebras/GLM-4.7-Flash-REAP-23B-A3B using mlx-lm version 0.30.5.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("n1k1tung/GLM-4.7-Flash-REAP-23B-A3B-4-bit")
prompt = "hello"
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True, return_dict=False,
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)