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mrtoots/GLM-4.7-REAP-218B-A32B-mlx-6Bit
GLM-4.7-REAP-218B-A32B-mlx-6Bit is a text generation model from mrtoots. 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 mrtoots/GLM-4.7-REAP-218B-A32B-mlx-6Bit was converted to MLX format from unsloth/GLM-4.7-REAP-218B-A32B using mlx-lm version 0.29.1.
Downloads · 30 days
29
4% of all-time downloads
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.safetensors177 GB · 100%
How the weights are stored.
U32218B · 100%
From the Hugging Face model README
The Model mrtoots/GLM-4.7-REAP-218B-A32B-mlx-6Bit was converted to MLX format from unsloth/GLM-4.7-REAP-218B-A32B using mlx-lm version 0.29.1.
This model was converted and quantized utilizing unsloth's version of GLM-4.7-REAP-218B-A32B from Cerebras. Should include any chat template fixes.
Please follow and support Cerebras' work and unsloth's work if you like it!
🦛 <span style="color:#800080">If you want a free consulting session, </span>fill out this form <span style="color:#800080">to get in touch!</span> 🤗
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mrtoots/GLM-4.7-REAP-218B-A32B-mlx-6Bit")
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)