Coding

Hardware Llm Optimizer

Try it

Auto-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

  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

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

ModelMin VRAMRec VRAMQuantization
3B2GB4GBQ4
7B6GB8GBQ4/Q8
13B10GB16GBQ4/Q8
34B20GB32GBQ4
70B40GB80GBQ4

Chinese Interface

This skill outputs in Chinese for user convenience.

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