GLM-4V Image Descriptor on 10GB GPU
Compatible with 10GB GPU
This node will run on RTX 3080 (10GB) and similar GPUs with 10GB VRAM.
Optimized Settings for 10GB
VRAM Utilization
1%
You're using 1% of your 10GB VRAM, leaving 9.9GB headroom.
Recommended Batch Size
9
Start with batch size of 9 for optimal performance.
Suggested Resolution
1024x1024 or higher
Best balance of quality and performance for 10GB.
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 (10GB):
- 10240MB (10GB) - RTX 3080 (10GB)
- VRAM Utilization:
- 1%
- Available Headroom:
- 9.88GB
- 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