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VRAM-Rechner β€Ί GPUs β€Ί NVIDIA RTX 4060 Ti 16GB

What LLMs Run on NVIDIA RTX 4060 Ti 16GB (16GB VRAM)?

NVIDIA RTX 4060 Ti 16GB (16GB VRAM, 288 GB/s bandwidth, 44.1 TFLOPS FP16).

Modellname Parameter (Aktiv) Q4_K_M (4-bit) FP16 VRAM Status on NVIDIA RTX 4060 Ti 16GB Decode / Prefill Report
DeepSeek-R1 671B (MoE) 671B 378.7 GB 1250.87 GB Nein ~2.7 / 310 tok/s Calculate β†’
DeepSeek-V3-0324 671B (MoE) 671B 378.7 GB 1250.87 GB Nein ~2.7 / 310 tok/s Calculate β†’
DeepSeek-R1-Distill-Llama-70B 70.55B 43.09 GB 134.41 GB Nein ~1.9 / 163 tok/s Calculate β†’
DeepSeek-R1-Distill-Qwen-32B 32.76B 21.23 GB 63.51 GB Nein ~6.3 / 350 tok/s Calculate β†’
DeepSeek-R1-Distill-Qwen-14B 14.77B 10.61 GB 29.5 GB Fits Q4_K_M ~22.2 / 776 tok/s Calculate β†’
DeepSeek-R1-Distill-Llama-8B 8.03B 6.22 GB 16.45 GB Fits Q4_K_M ~40.8 / 1428 tok/s Calculate β†’
DeepSeek-R1-Distill-Qwen-7B 7.62B 5.43 GB 15.12 GB FP16 & Q4 ~43 / 1505 tok/s Calculate β†’
Qwen3-235B-A22B (MoE) 235.1B 134.4 GB 439.87 GB Nein ~4.8 / 516 tok/s Calculate β†’
Qwen3-30B-A3B (MoE) 30.53B 18.53 GB 58.1 GB Nein ~74.3 / 3433 tok/s Calculate β†’
Qwen3-32B 32.76B 21.22 GB 63.51 GB Nein ~6.3 / 350 tok/s Calculate β†’
Qwen3-14B 14.77B 10.36 GB 29.25 GB Fits Q4_K_M ~22.2 / 776 tok/s Calculate β†’
Qwen3-8B 8.19B 6.47 GB 16.87 GB Fits Q4_K_M ~40 / 1400 tok/s Calculate β†’
Qwen3-4B 4.02B 3.61 GB 8.68 GB FP16 & Q4 ~81.5 / 2852 tok/s Calculate β†’
Qwen2.5-72B-Instruct 72.71B 44.38 GB 138.43 GB Nein ~1.8 / 158 tok/s Calculate β†’
Qwen2.5-Coder-32B-Instruct 32.76B 21.23 GB 63.51 GB Nein ~6.3 / 350 tok/s Calculate β†’
Qwen2.5-14B-Instruct 14.77B 10.61 GB 29.5 GB Fits Q4_K_M ~22.2 / 776 tok/s Calculate β†’
Qwen2.5-7B-Instruct 7.62B 5.43 GB 15.12 GB FP16 & Q4 ~43 / 1505 tok/s Calculate β†’
QwQ-32B Reasoning 32.76B 21.23 GB 63.51 GB Nein ~6.3 / 350 tok/s Calculate β†’
Llama-4-Maverick-17B-128E (400B MoE) 400B 227.32 GB 747.05 GB Nein ~6 / 667 tok/s Calculate β†’
Llama-4-Scout-17B-16E (109B MoE) 109B 63.7 GB 205.02 GB Nein ~6.9 / 667 tok/s Calculate β†’
Llama-3.3-70B-Instruct 70.55B 43.09 GB 134.41 GB Nein ~1.9 / 163 tok/s Calculate β†’
Llama-3.1-405B-Instruct 405B 233.02 GB 758.82 GB Nein ~1.2 / 45 tok/s Calculate β†’
Llama-3.1-70B-Instruct 70.55B 43.09 GB 134.41 GB Nein ~1.9 / 163 tok/s Calculate β†’
Llama-3.1-8B-Instruct 8.03B 6.22 GB 16.45 GB Fits Q4_K_M ~40.8 / 1428 tok/s Calculate β†’
Llama-3.2-3B-Instruct 3.21B 3.33 GB 7.34 GB FP16 & Q4 ~102.1 / 3572 tok/s Calculate β†’
Mistral-Large-2-123B 122.6B 72.84 GB 231.62 GB Nein ~1.2 / 94 tok/s Calculate β†’
Mistral-Small-3.1-24B-Instruct 23.6B 15.28 GB 45.7 GB Fits Q4_K_M ~13.9 / 486 tok/s Calculate β†’
Mixtral-8x22B-Instruct (MoE) 140.6B 81.38 GB 264.13 GB Nein ~2.9 / 293 tok/s Calculate β†’
Mixtral-8x7B-Instruct (MoE) 46.7B 27.8 GB 88.47 GB Nein ~12.7 / 889 tok/s Calculate β†’
Codestral-22B 22.2B 14.81 GB 43.59 GB Fits Q4_K_M ~14.8 / 516 tok/s Calculate β†’
Google Gemma-3-27B-IT 27.4B 20.34 GB 55.4 GB Nein ~8 / 418 tok/s Calculate β†’
Google Gemma-3-12B-IT 12.2B 10.75 GB 26.21 GB Fits Q4_K_M ~26.9 / 940 tok/s Calculate β†’
Google Gemma-3-4B-IT 4.3B 4.24 GB 9.56 GB FP16 & Q4 ~76.2 / 2667 tok/s Calculate β†’
Microsoft Phi-4 14B 14.66B 10.5 GB 29.36 GB Fits Q4_K_M ~22.4 / 782 tok/s Calculate β†’
Cohere Command-A 111B 111B 66.19 GB 209.26 GB Nein ~1.2 / 103 tok/s Calculate β†’
GLM-4-32B-0414 32B 20.77 GB 62 GB Nein ~6.7 / 358 tok/s Calculate β†’