Downloads · 30 days
16
5% of all-time downloads
gemma-4-26B-A4B-it-mlx-4Bit
AdvRahul/gemma-4-26B-A4B-it-mlx-4Bit
gemma-4-26B-A4B-it-mlx-4Bit is a image-text-to-text model from AdvRahul. 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.
The Model AdvRahul/gemma-4-26B-A4B-it-mlx-4Bit was converted to MLX format from google/gemma-4-26B-A4B-it using mlx-lm version 0.31.2.
All-time downloads
330
Public
Parameters
25.2B
14.2 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors14.2 GB · 100%
Parameter types
How the weights are stored.
U3225.2B · 100%
Try a prompt
Base models
Model card
From the Hugging Face model README
AdvRahul/gemma-4-26B-A4B-it-mlx-4Bit
The Model AdvRahul/gemma-4-26B-A4B-it-mlx-4Bit was converted to MLX format from google/gemma-4-26B-A4B-it using mlx-lm version 0.31.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("AdvRahul/gemma-4-26B-A4B-it-mlx-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)
- Task
- Image-Text-to-Text
- Library
- transformers
- Type
- gemma4
- License
- apache-2.0
- Created
- Apr 18, 2026
- Updated
- Apr 18, 2026