Modelpublic

McG-221/gemma-3-12b-it-vl-Polaris-GLM-4.7-Flash-VAR-Thinking-Instruct-Heretic-Uncensored-mlx-8Bit

sourceHugging Faceapache-2.0updated 8mo agoView on Hugging Face

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Model Card

McG-221/gemma-3-12b-it-vl-Polaris-GLM-4.7-Flash-VAR-Thinking-Instruct-Heretic-Uncensored-mlx-8Bit

The Model McG-221/gemma-3-12b-it-vl-Polaris-GLM-4.7-Flash-VAR-Thinking-Instruct-Heretic-Uncensored-mlx-8Bit was converted to MLX format from DavidAU/gemma-3-12b-it-vl-Polaris-GLM-4.7-Flash-VAR-Thinking-Instruct-Heretic-Uncensored using mlx-lm version 0.29.1.

Use with mlx

bash

pip install mlx-lm

python

from mlx_lm import load, generate

model, tokenizer = load("McG-221/gemma-3-12b-it-vl-Polaris-GLM-4.7-Flash-VAR-Thinking-Instruct-Heretic-Uncensored-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)