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m-i/WebWatcher-32B-mlx-8Bit
WebWatcher-32B-mlx-8Bit 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 Model m-i/WebWatcher-32B-mlx-8Bit was converted to MLX format from Alibaba-NLP/WebWatcher-32B using mlx-lm version 0.26.4.
Downloads · 30 days
17
15% of all-time downloads
All-time downloads
110
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Parameters
32.8B
34.8 GB on disk
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.safetensors34.8 GB · 100%
How the weights are stored.
U3232.8B · 100%
From the Hugging Face model README
The Model m-i/WebWatcher-32B-mlx-8Bit was converted to MLX format from Alibaba-NLP/WebWatcher-32B using mlx-lm version 0.26.4.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("m-i/WebWatcher-32B-mlx-8Bit")
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)