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D8A/gemma-3-27b-it-heretic-v1.2-mlx-6Bit
gemma-3-27b-it-heretic-v1.2-mlx-6Bit is a machine learning model from D8A. 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 D8A/gemma-3-27b-it-heretic-v1.2-mlx-6Bit was converted to MLX format from grayarea/gemma-3-27b-it-heretic-v1.2 using mlx-lm version 0.29.1.
Downloads · 30 days
25
5% of all-time downloads
All-time downloads
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.safetensors21.9 GB · 100%
How the weights are stored.
U3227B · 100%
From the Hugging Face model README
The Model D8A/gemma-3-27b-it-heretic-v1.2-mlx-6Bit was converted to MLX format from grayarea/gemma-3-27b-it-heretic-v1.2 using mlx-lm version 0.29.1.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("D8A/gemma-3-27b-it-heretic-v1.2-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)