Downloads · 30 days
159
18% of all-time downloads
zherebetskyy/Qwen3.8-27B-4bit-mlx
Qwen3.8-27B-4bit-mlx is a image-text-to-text model from zherebetskyy. 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 mlx. The card lists the license as apache-2.0.
This model was converted to MLX format from mlx-community/Qwen3.8-27B-bf16 using mlx-vlm version 0.6.13. Refer to the original model card for more details on the model.
Downloads · 30 days
159
18% of all-time downloads
All-time downloads
877
Public
Parameters
27.4B
16.1 GB on disk
Likes
1
Public
Click a slice to open those files.
.safetensors16.1 GB · 100%
How the weights are stored.
U3226.9B · 98%
From the Hugging Face model README
This model was converted to MLX format from mlx-community/Qwen3.8-27B-bf16
using mlx-vlm version 0.6.13.
Refer to the original model card for more details on the model.
pip install -U mlx-vlm
python -m mlx_vlm.generate --model zherebetskyy/Qwen3.8-27B-4bit-mlx --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
from mlx_lm import load, generate
model, tokenizer = load("zherebetskyy/Qwen3.8-27B-4bit-mlx")
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)