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Hardware AI Models Compatibility Compare

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AI Models for NVIDIA RTX 3090 Ti

24.0GB VRAM • NVIDIA • Ampere

info GPU Details

check_circle 43 Perfect

thumb_up 0 Good

warning 1 Marginal

cancel 28 Fail

Qwen 2.5 14B

Qwen • 14.00B

14.0GB required +10.0GB headroom

Qwen 2.5 14B

Qwen • 14.00B

7.0GB required +17.0GB headroom

Gemma 2 9B

Gemma • 9.00B

18.0GB required +6.0GB headroom

Gemma 2 27B

Gemma • 27.00B

10.8GB required +13.2GB headroom

Llama 3 8B

Llama • 8.00B

16.0GB required +8.0GB headroom

Qwen 2.5 14B

Qwen • 14.00B

5.6GB required +18.4GB headroom

Qwen 2.5 32B

Qwen • 32.00B

16.0GB required +8.0GB headroom

Llama 3.1 8B

Llama • 8.00B

3.2GB required +20.8GB headroom

Phi-3 Small 7B

Phi • 7.00B

7.0GB required +17.0GB headroom

Gemma 2 2B

Gemma • 2.00B

4.0GB required +20.0GB headroom

Phi-3 Small 7B

Phi • 7.00B

2.8GB required +21.2GB headroom

Phi-3 Small 7B

Phi • 7.00B

14.0GB required +10.0GB headroom

Qwen 2.5 7B

Qwen • 7.00B

7.0GB required +17.0GB headroom

Llama 3.1 8B

Llama • 8.00B

16.0GB required +8.0GB headroom

Qwen 2.5 7B

Qwen • 7.00B

3.5GB required +20.5GB headroom

Phi-3 Medium 14B

Phi • 14.00B

7.0GB required +17.0GB headroom

Mixtral 8x7B

Mistral • 46.70B

18.7GB required +5.3GB headroom

Phi-3 Medium 14B

Phi • 14.00B

14.0GB required +10.0GB headroom

Qwen 2.5 7B

Qwen • 7.00B

14.0GB required +10.0GB headroom

Qwen 2.5 32B

Qwen • 32.00B

12.8GB required +11.2GB headroom

Gemma 2 27B

Gemma • 27.00B

13.5GB required +10.5GB headroom

Llama 3.1 8B

Llama • 8.00B

4.0GB required +20.0GB headroom

Phi-3 Medium 14B

Phi • 14.00B

5.6GB required +18.4GB headroom

Gemma 2 2B

Gemma • 2.00B

0.8GB required +23.2GB headroom

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