Auto-detect PC hardware (CPU/GPU/RAM/VRAM) -> Determine max LLM parameters -> Recommend models (3B/7B/8B/13B/34B/70B) + quantization + deployment tools + bottleneck analysis. Chinese interface.
Scanned 9/9/2026
Install to Claude Code
npx -y skills add Lord1Egypt/awesome-skill-forge --skill hardware-llm-optimizer --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: hardware-llm-optimizer
version: 1.1.0
description: Auto-detect PC hardware (CPU/GPU/RAM/VRAM) -> Determine max LLM parameters -> Recommend models (3B/7B/8B/13B/34B/70B) + quantization + deployment tools + bottleneck analysis. Chinese interface.
---
# Hardware LLM Optimizer
Detects PC hardware configuration and recommends which large language models can run.
## Features
1. **Auto-detect**: CPU, RAM, GPU (NVIDIA/AMD), VRAM
2. **Calculate**: Maximum runnable model size
3. **Quantization**: FP16 / 8bit / 4bit / 2bit recommendation
4. **Model Suggestion**: Llama 2/3, Qwen, Mistral, Phi, Gemma, Yi, etc.
5. **Bottleneck Analysis**: System constraint diagnosis
6. **Deployment Tools**: Ollama, Llama.cpp, vLLM, Chatbox
7. **Optimization Tips**: Low VRAM solutions
8. **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
```bash
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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