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GLM-4.7-Flash-REAP-23B-A3B-8-bit
n1k1tung/GLM-4.7-Flash-REAP-23B-A3B-8-bit
GLM-4.7-Flash-REAP-23B-A3B-8-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-8-bit was converted to MLX format from cerebras/GLM-4.7-Flash-REAP-23B-A3B using mlx-lm version 0.30.5.
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23B
24.5 GB on disk
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.safetensors24.4 GB · 100%
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Model card
From the Hugging Face model README
n1k1tung/GLM-4.7-Flash-REAP-23B-A3B-8-bit
This model n1k1tung/GLM-4.7-Flash-REAP-23B-A3B-8-bit was converted to MLX format from cerebras/GLM-4.7-Flash-REAP-23B-A3B using mlx-lm version 0.30.5.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("n1k1tung/GLM-4.7-Flash-REAP-23B-A3B-8-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)
- Task
- Text Generation
- Library
- mlx
- Type
- glm4_moe_lite
- License
- mit
- Languages
- en
- Created
- Jan 24, 2026
- Updated
- Jan 24, 2026