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Hardware Llm Optimizer
Try itAuto-detect PC hardware (CPU/GPU/RAM/VRAM) -> Determine max LLM parameters -> Recommend models (3B/7B/8B/13B/34B/70B) + quantization + deployment tools + bot...
What it does
Detects PC hardware configuration and recommends which large language models can run.
The skill document
Hardware LLM Optimizer
Detects PC hardware configuration and recommends which large language models can run.
Features
- Auto-detect: CPU, RAM, GPU (NVIDIA/AMD), VRAM
- Calculate: Maximum runnable model size
- Quantization: FP16 / 8bit / 4bit / 2bit recommendation
- Model Suggestion: Llama 2/3, Qwen, Mistral, Phi, Gemma, Yi, etc.
- Bottleneck Analysis: System constraint diagnosis
- Deployment Tools: Ollama, Llama.cpp, vLLM, Chatbox
- Optimization Tips: Low VRAM solutions
- Minimum Config Table: 3B/7B/13B/34B/70B requirements
Usage
When user asks about running LLMs on their computer:
检测电脑配置
大模型推荐
能跑什么模型
硬件检测
LLM优化
Quick Run
python3 skills/hardware-llm-optimizer/detect.py
Requirements
- Python 3.8+
- psutil:
pip install psutil - nvidia-smi (optional, for NVIDIA GPU detection)
Minimum Config Reference
| Model | Min VRAM | Rec VRAM | Quantization |
|---|---|---|---|
| 3B | 2GB | 4GB | Q4 |
| 7B | 6GB | 8GB | Q4/Q8 |
| 13B | 10GB | 16GB | Q4/Q8 |
| 34B | 20GB | 32GB | Q4 |
| 70B | 40GB | 80GB | Q4 |
Chinese Interface
This skill outputs in Chinese for user convenience.
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