Reinforcement Learning
MLX
Safetensors
English
qwen2_5_vl
IQA
Reasoning
VLM
Pytorch
R1
GRPO
RL2R
4-bit precision
Instructions to use mlx-community/VisualQuality-R1-7B-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/VisualQuality-R1-7B-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir VisualQuality-R1-7B-4bit mlx-community/VisualQuality-R1-7B-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
metadata
license: mit
language:
- en
base_model:
- Qwen/Qwen2.5-VL-7B-Instruct
pipeline_tag: reinforcement-learning
tags:
- IQA
- Reasoning
- VLM
- Pytorch
- R1
- GRPO
- RL2R
- mlx
mlx-community/VisualQuality-R1-7B-4bit
This model was converted to MLX format from TianheWu/VisualQuality-R1-7B using mlx-vlm version 0.3.2.
Refer to the original model card for more details on the model.
Use with mlx
pip install -U mlx-vlm
python -m mlx_vlm.generate --model mlx-community/VisualQuality-R1-7B-4bit --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>