LLMs ·

QVQ 72B Preview

Parameters
73B
Architecture
Dense
Max context
32K tokens
License
qwen
Released
2024-12

How to run it

Quantized files · GGUF

Works in LM Studio, llama.cpp, Jan and Ollama. No sign-in needed.

huggingface.co/bartowski/QVQ-72B-Preview-GGUF (opens in a new tab)

ollama run hf.co/bartowski/QVQ-72B-Preview-GGUF

Original weights · Hugging Face

Full-precision files from Alibaba, for fine-tuning, vLLM, Transformers.

huggingface.co/Qwen/QVQ-72B-Preview (opens in a new tab)

No sign-in needed.

Memory needed

Weights plus KV cache and runtime overhead. Leave a little extra free for the operating system and other apps.

Quantization Quality Weights Total at 8K context Total at 32K context Download
Q2_K Low 29.4 GB 32.6 GB 40.7 GB GGUF (opens in a new tab)
Q3_K_M Low 36.0 GB 39.3 GB 47.3 GB GGUF (opens in a new tab)
Q4_K_M Good 44.8 GB 48.1 GB 56.1 GB GGUF (opens in a new tab)
Q5_K_M High 52.1 GB 55.4 GB 63.5 GB GGUF · folder (opens in a new tab)
Q6_K High 60.2 GB 63.5 GB 71.5 GB GGUF · folder (opens in a new tab)
Q8_0 Very high 77.8 GB 81.1 GB 89.2 GB GGUF · folder (opens in a new tab)
F16 Full 147 GB 150 GB 158 GB Original weights (opens in a new tab)

Best hardware for QVQ 72B Preview

The least expensive GPU in our catalog that runs it without offloading is the AMD Radeon PRO W7800 48GB (launch price $2,799) at Q3_K_M.

Grade · points Hardware Quant Memory Speed Fit
79 ptsGreat (A) · 79 of 100 points: Model quality 29.1/45, Memory fit 25.0/25, Speed 13.0/15, Memory use 12.7/15 NVIDIA RTX PRO 6000 Blackwell Q4_K_M 52.9 GB / 96.0 GB 30.0 tok/s Runs well
75 ptsGreat (A) · 75 of 100 points: Model quality 30.3/45, Memory fit 25.0/25, Speed 5.5/15, Memory use 15.0/15 Apple M4 Max (128 GB) Q6_K 71.2 GB / 96.0 GB 5.5 tok/s Runs well
74 ptsGreat (A) · 74 of 100 points: Model quality 30.3/45, Memory fit 25.0/25, Speed 3.8/15, Memory use 15.0/15 AMD Ryzen AI Max+ 395 (128 GB) Q6_K 71.2 GB / 96.0 GB 2.6 tok/s Runs well
74 ptsGreat (A) · 74 of 100 points: Model quality 30.3/45, Memory fit 25.0/25, Speed 4.2/15, Memory use 14.6/15 NVIDIA GB10 (128 GB) Q6_K 72.7 GB / 115 GB 3.2 tok/s Runs well
72 ptsGreat (A) · 72 of 100 points: Model quality 25.7/45, Memory fit 24.0/25, Speed 7.6/15, Memory use 15.0/15 Apple M4 Max (64 GB) Q3_K_M 43.1 GB / 48.0 GB 10.2 tok/s Tight fit
71 ptsGood (B) · 71 of 100 points: Model quality 29.1/45, Memory fit 25.0/25, Speed 8.0/15, Memory use 9.5/15 Apple M2 Ultra (192 GB) Q4_K_M 59.6 GB / 144 GB 11.5 tok/s Runs well
71 ptsGood (B) · 71 of 100 points: Model quality 25.7/45, Memory fit 24.0/25, Speed 6.5/15, Memory use 15.0/15 Apple M1 Max (64 GB) Q3_K_M 43.1 GB / 48.0 GB 7.4 tok/s Tight fit
69 ptsGood (B) · 69 of 100 points: Model quality 29.1/45, Memory fit 25.0/25, Speed 8.1/15, Memory use 7.6/15 Apple M3 Ultra (256 GB) Q4_K_M 63.4 GB / 192 GB 11.8 tok/s Runs well
66 ptsGood (B) · 66 of 100 points: Model quality 29.1/45, Memory fit 25.0/25, Speed 8.1/15, Memory use 4.7/15 Apple M3 Ultra (512 GB) Q4_K_M 78.8 GB / 384 GB 11.8 tok/s Runs well
66 ptsGood (B) · 66 of 100 points: Model quality 21.4/45, Memory fit 24.0/25, Speed 6.0/15, Memory use 15.0/15 Apple M4 Pro (48 GB) Q2_K 35.5 GB / 36.0 GB 6.5 tok/s Tight fit

Check it on your own hardware

Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.