How do I check if my PC can run AI models like DeepSeek or Llama?

Use our free AI Model Compatibility Checker tool. Click 'PC Performance' in the menu, then 'Detect My Hardware'. The tool will automatically detect your GPU VRAM, system RAM, and show which models (DeepSeek V3, Llama 3.3, Qwen2.5, etc.) your PC can run with different quantization formats (FP16, INT8, INT4).

How much VRAM do I need to run DeepSeek V3?

DeepSeek V3 (671B parameters) requires: 1342 GB VRAM for FP16, 671 GB for INT8, or 336 GB for INT4 quantization. Most consumer PCs cannot run this model locally. For consumer hardware, consider smaller models like DeepSeek-Coder-33B (17 GB VRAM for INT4).

What is the difference between FP16, INT8, and INT4 quantization?

FP16 (half precision) offers highest quality but requires 2GB per billion parameters. INT8 (8-bit integer) reduces VRAM to 50% with minimal quality loss. INT4 (4-bit integer) reduces VRAM to 25% with acceptable quality - most commonly used for local deployment. Example: Llama-3.1-70B needs 140GB (FP16), 70GB (INT8), or 35GB (INT4).

Can I run Llama 3 on my GPU?

It depends on your GPU VRAM and the Llama 3 variant. Llama-3.1-8B needs only 4GB VRAM (INT4), suitable for RTX 3060 or better. Llama-3.1-70B needs 35GB VRAM (INT4), requiring RTX 4090 or A100. Use our compatibility checker to test your specific GPU.

Which AI models can run on 8GB VRAM?

With 8GB VRAM, you can run these models (INT4): Llama-3.1-8B (4GB), Qwen2.5-7B (4GB), Mistral-7B (4GB), Gemma-7B (4GB), Phi-3-7B (4GB), Yi-1.5-6B (3GB). You can also run larger models like Llama-2-13B (7GB INT4) or Qwen2.5-14B (7GB INT4).

How many AI models does AI Model Hub have?

AI Model Hub features 290+ AI models from 47 providers including OpenAI (GPT-4o, o1), Anthropic (Claude 3.5), Google (Gemini 2.5), Alibaba (Qwen3), DeepSeek (V3, R1), Meta (Llama 3), Bytedance (Doubao), and more. Models span text generation, multimodal, reasoning, code generation, vision, image and video generation categories.

Is the AI Model Compatibility Checker free?

Yes, completely free. No registration, no payment required. The tool runs entirely in your browser using WebGL to detect your GPU. Your hardware information is not uploaded to any server - all detection happens locally on your device.

What GPUs are supported by the compatibility checker?

The checker supports 40+ GPU models including NVIDIA (RTX 4090/4080/4070/4060, RTX 3090/3080/3070/3060, GTX series), AMD (RX 7900/7800/7700, RX 6900/6800/6700/6600), Apple Silicon (M1/M2/M3 Ultra/Max/Pro), and Intel (Arc A770/A750/A580, Iris). VRAM is automatically estimated based on your GPU model.

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AI Model Compatibility Checker

Check if your computer can run AI models like DeepSeek, Llama, Qwen, etc. Detect GPU memory, system memory, and get personalized model recommendations.

Key Information

GPU Memory (VRAM): The most critical factor - larger models require more VRAM
System Memory (RAM): Should be at least 1.2x the model size
Model Formats: Supports GGUF, FP16, INT8, INT4 quantization formats
Detection Method: Browser-based WebGL detection (may have limitations)

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