A better, more optimized conversion may be available from
@Prince
(
@Blaizzy
) in the MLX VLM community. Check the
mlx-community
organization for updated versions as official Qwen3.5 support is merged into the main
mlx-vlm
branch.
Usage
from mlx_vlm import load, generate
model, processor = load("mlx-community/Qwen3.5-9B-MLX-4bit")
output = generate(
model,
processor,
prompt="Describe this image in detail",
image="path/to/image.jpg",
max_tokens=200
)
print(output)
Qwen3.5-9B-MLX-4bit huggingface.co is an AI model on huggingface.co that provides Qwen3.5-9B-MLX-4bit's model effect (), which can be used instantly with this mlx-community Qwen3.5-9B-MLX-4bit model. huggingface.co supports a free trial of the Qwen3.5-9B-MLX-4bit model, and also provides paid use of the Qwen3.5-9B-MLX-4bit. Support call Qwen3.5-9B-MLX-4bit model through api, including Node.js, Python, http.
Qwen3.5-9B-MLX-4bit huggingface.co is an online trial and call api platform, which integrates Qwen3.5-9B-MLX-4bit's modeling effects, including api services, and provides a free online trial of Qwen3.5-9B-MLX-4bit, you can try Qwen3.5-9B-MLX-4bit online for free by clicking the link below.
mlx-community Qwen3.5-9B-MLX-4bit online free url in huggingface.co:
Qwen3.5-9B-MLX-4bit is an open source model from GitHub that offers a free installation service, and any user can find Qwen3.5-9B-MLX-4bit on GitHub to install. At the same time, huggingface.co provides the effect of Qwen3.5-9B-MLX-4bit install, users can directly use Qwen3.5-9B-MLX-4bit installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
Qwen3.5-9B-MLX-4bit install url in huggingface.co: