license: gemma
base_model: Jiunsong/supergemma4-26b-abliterated-multimodal
tags:
- gemma4
- transformers
- bf16
- multimodal
- instruction-following
- tool-use
- mlx
- mlx-my-repo
language: - en
- ko
pipeline_tag: text-generation
library_name: transformers
andosen/supergemma4-26b-abliterated-multimodal-mlx-6Bit
The Model andosen/supergemma4-26b-abliterated-multimodal-mlx-6Bit was converted to MLX format from Jiunsong/supergemma4-26b-abliterated-multimodal using mlx-lm version 0.31.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("andosen/supergemma4-26b-abliterated-multimodal-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)