GLM-4V Image Descriptor on 16GB GPU
Compatible with 16GB GPU
This node will run on RTX 4080, A4000 and similar GPUs with 16GB VRAM.
Optimized Settings for 16GB
VRAM Utilization
1%
You're using 1% of your 16GB VRAM, leaving 15.9GB headroom.
Recommended Batch Size
15
Start with batch size of 15 for optimal performance.
Suggested Resolution
1024x1024 or higher
Best balance of quality and performance for 16GB.
Performance Tips
- Close other GPU-intensive applications
- Low VRAM mode available
- Monitor GPU usage with nvidia-smi
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VRAM Requirements
- Base VRAM Requirement:
- 128MB (0.13GB)
- Your GPU (16GB):
- 16384MB (16GB) - RTX 4080, A4000
- VRAM Utilization:
- 1%
- Available Headroom:
- 15.88GB
- Low VRAM Mode:
- ✓ Supported
- Estimation Confidence:
- MEDIUM
Python Dependencies
accelerate>=0.21.0 # 模型加速库 / Model acceleration librarybitsandbytes>=0.41.0 # 量化支持库 / Quantization support librarycsv# CSV处理库（Python内置） / CSV processing library (built-in Python)glob# 文件名模式匹配（Python内置） / Filename pattern matching (built-in Python)json# JSON处理库（Python内置） / JSON processing library (built-in Python)numpy>=1.21.0 # 数值计算库 / Numerical computing libraryos# 操作系统接口（Python内置） / OS interface (built-in Python)pathlib# 路径处理库（Python 3.4+内置） / Path handling library (built-in Python 3.4+)pillow>=9.0.0 # Python图像处理库 / Python Image Libraryprotobuf>=3.20.0 # Protocol Buffers支持 / Protocol Buffers support
+ 6 more dependencies