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LLMs ·

QwQ 32B

Parameters
33B
Architecture
Dense
Max context
40K tokens
License
apache-2.0
Released
2025-03

How to run it

Quickest · Ollama

One command downloads a ready-to-run version and starts a chat.

ollama run qwq:32b

Get Ollama at ollama.com/download (opens in a new tab) · model page (opens in a new tab)

Quantized files · GGUF

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

huggingface.co/Qwen/QwQ-32B-GGUF (opens in a new tab)

ollama run hf.co/Qwen/QwQ-32B-GGUF

Original weights · Hugging Face

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

huggingface.co/Qwen/QwQ-32B (opens in a new tab)

No sign-in needed.

Official repo · GitHub

Reference code, inference scripts and docs from Alibaba. The weights themselves download from Hugging Face.

github.com/QwenLM/QwQ (opens in a new tab)

git clone https://github.com/QwenLM/QwQ

Links checked 5 days ago against Hugging Face, Ollama and GitHub.

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 13.1 GB 15.9 GB 22.3 GB GGUF files (opens in a new tab)
Q3_K_M Low 16.1 GB 18.8 GB 25.2 GB GGUF files (opens in a new tab)
Q4_K_M Good 20.0 GB 22.7 GB 29.2 GB GGUF (opens in a new tab)
Q5_K_M High 23.3 GB 26.0 GB 32.4 GB GGUF (opens in a new tab)
Q6_K High 26.9 GB 29.6 GB 36.1 GB GGUF (opens in a new tab)
Q8_0 Very high 34.7 GB 37.5 GB 43.9 GB GGUF (opens in a new tab)
F16 Full 65.5 GB 68.3 GB 74.7 GB GGUF · folder (opens in a new tab) Original weights (opens in a new tab)

Best hardware for QwQ 32B

The least expensive GPU in our catalog that runs it without offloading is the AMD Radeon RX 7900 XT (launch price $899) at Q3_K_M.

Grade · points Hardware Quant Memory Speed Fit
88 ptsExcellent (S) · 88 of 100 points: Model quality 34.7/45, Memory fit 24.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 5090 Q6_K 31.2 GB / 32.0 GB 46.6 tok/s Tight fit
86 ptsExcellent (S) · 86 of 100 points: Model quality 33.3/45, Memory fit 24.0/25, Speed 14.6/15, Memory use 15.0/15 NVIDIA GeForce RTX 4090 Q4_K_M 23.9 GB / 24.0 GB 37.8 tok/s Tight fit
86 ptsExcellent (S) · 86 of 100 points: Model quality 33.3/45, Memory fit 24.0/25, Speed 14.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 3090 Q4_K_M 23.9 GB / 24.0 GB 35.1 tok/s Tight fit
85 ptsExcellent (S) · 85 of 100 points: Model quality 33.3/45, Memory fit 24.0/25, Speed 13.2/15, Memory use 15.0/15 AMD Radeon RX 7900 XTX Q4_K_M 23.9 GB / 24.0 GB 31.0 tok/s Tight fit
83 ptsGreat (A) · 83 of 100 points: Model quality 34.7/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 8.3/15 NVIDIA RTX PRO 6000 Blackwell Q6_K 34.4 GB / 96.0 GB 46.6 tok/s Runs well
81 ptsGreat (A) · 81 of 100 points: Model quality 33.3/45, Memory fit 25.0/25, Speed 10.0/15, Memory use 12.8/15 Apple M4 Max (64 GB) Q4_K_M 26.6 GB / 48.0 GB 17.6 tok/s Runs well
80 ptsGreat (A) · 80 of 100 points: Model quality 34.0/45, Memory fit 25.0/25, Speed 6.4/15, Memory use 15.0/15 Apple M4 Pro (48 GB) Q5_K_M 28.9 GB / 36.0 GB 7.3 tok/s Runs well
79 ptsGreat (A) · 79 of 100 points: Model quality 33.3/45, Memory fit 25.0/25, Speed 8.5/15, Memory use 12.8/15 Apple M1 Max (64 GB) Q4_K_M 26.6 GB / 48.0 GB 12.9 tok/s Runs well
75 ptsGreat (A) · 75 of 100 points: Model quality 33.3/45, Memory fit 25.0/25, Speed 12.0/15, Memory use 5.5/15 Apple M2 Ultra (192 GB) Q4_K_M 34.3 GB / 144 GB 25.8 tok/s Runs well
75 ptsGreat (A) · 75 of 100 points: Model quality 33.3/45, Memory fit 25.0/25, Speed 10.0/15, Memory use 7.3/15 Apple M4 Max (128 GB) Q4_K_M 30.4 GB / 96.0 GB 17.6 tok/s Runs well

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.