Qwen2-VL
Collection
7 items • Updated
How to use EZCon/Qwen2-VL-2B-Instruct-abliterated-8bit-mlx with MLX:
# Make sure mlx-vlm is installed
# pip install --upgrade mlx-vlm
from mlx_vlm import load, generate
from mlx_vlm.prompt_utils import apply_chat_template
from mlx_vlm.utils import load_config
# Load the model
model, processor = load("EZCon/Qwen2-VL-2B-Instruct-abliterated-8bit-mlx")
config = load_config("EZCon/Qwen2-VL-2B-Instruct-abliterated-8bit-mlx")
# Prepare input
image = ["http://images.cocodataset.org/val2017/000000039769.jpg"]
prompt = "Describe this image."
# Apply chat template
formatted_prompt = apply_chat_template(
processor, config, prompt, num_images=1
)
# Generate output
output = generate(model, processor, formatted_prompt, image)
print(output)This model was converted to MLX format from huihui-ai/Qwen2-VL-2B-Instruct-abliterated
using mlx-vlm version 0.5.0.
Refer to the original model card for more details on the model.
pip install -U mlx-vlm
python -m mlx_vlm.generate --model EZCon/Qwen2-VL-2B-Instruct-abliterated-8bit-mlx --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
8-bit
Base model
Qwen/Qwen2-VL-2B