GLM-4V Image Descriptor on 8GB GPU
Compatible with 8GB GPU
This node will run on RTX 3060 Ti, RTX 4060 and similar GPUs with 8GB VRAM.
Optimized Settings for 8GB
VRAM Utilization
2%
You're using 2% of your 8GB VRAM, leaving 7.9GB headroom.
Recommended Batch Size
7
Start with batch size of 7 for optimal performance.
Suggested Resolution
1024x1024 or higher
Best balance of quality and performance for 8GB.
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 (8GB):
- 8192MB (8GB) - RTX 3060 Ti, RTX 4060
- VRAM Utilization:
- 2%
- Available Headroom:
- 7.88GB
- 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