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WebShaper-32B-mlx-6Bit
m-i/WebShaper-32B-mlx-6Bit
WebShaper-32B-mlx-6Bit is a machine learning model from m-i. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for mlx. The card lists the license as mit.
The Model m-i/WebShaper-32B-mlx-6Bit was converted to MLX format from Alibaba-NLP/WebShaper-32B using mlx-lm version 0.26.4.
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106
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32.8B
26.6 GB on disk
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.safetensors26.6 GB · 100%
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How the weights are stored.
U3232.8B · 100%
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Model card
From the Hugging Face model README
m-i/WebShaper-32B-mlx-6Bit
The Model m-i/WebShaper-32B-mlx-6Bit was converted to MLX format from Alibaba-NLP/WebShaper-32B using mlx-lm version 0.26.4.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("m-i/WebShaper-32B-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)
- Library
- mlx
- Type
- qwen2
- License
- mit
- Created
- Oct 29, 2025
- Updated
- Oct 29, 2025