Downloads · 30 days
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mlx-community/gemma-4-31B-it-uncensored-heretic-4bit
gemma-4-31B-it-uncensored-heretic-4bit 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 card lists the license as apache-2.0.
Downloads · 30 days
1.5K
12% of all-time downloads
All-time downloads
12.4K
Public
Parameters
30.7B
17.3 GB on disk
Likes
6
Public
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.safetensors17.3 GB · 100%
How the weights are stored.
U3230.7B · 100%
From the Hugging Face model README
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/gemma-4-31B-it-uncensored-heretic-4bit")
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)