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mlx-community/Gemma-3-Glitter-12B-8bit
Gemma-3-Glitter-12B-8bit is a image-text-to-text model from mlx-community. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers.
The Model mlx-community/Gemma-3-Glitter-12B-8bit was converted to MLX format from allura-org/Gemma-3-Glitter-12B using mlx-lm version 0.26.4.
Downloads · 30 days
22
5% of all-time downloads
All-time downloads
453
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11.8B
12.5 GB on disk
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.safetensors12.5 GB · 100%
How the weights are stored.
U3211.8B · 100%
From the Hugging Face model README
The Model mlx-community/Gemma-3-Glitter-12B-8bit was converted to MLX format from allura-org/Gemma-3-Glitter-12B using mlx-lm version 0.26.4.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/Gemma-3-Glitter-12B-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)