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Can the AMD Ryzen AI 9 HX 470 (DDR5 SO-DIMM) (32 GB) run Qwen3-VL 32B Instruct?

73 ptsGreat (A) · 73 of 100 points: Model quality 29.5/45, Memory fit 24.0/25, Speed 4.5/15, Memory use 15.0/15

Yes, with little memory to spare

Tight fit. At Q3_K_M it needs about 21.0 GB of 24.0 GB usable, with an estimated speed of 3.7 tok/s.

Best quant
Q3_K_M
Generation speed
3.7 tok/s
Prompt processing
472 tok/s
First token (1K prompt)
2.2 s
Largest safe context
19K

Download Qwen3-VL 32B Instruct

Quickest · Ollama

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

ollama run qwen3-vl: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/Qwen3-VL-32B-Instruct-GGUF (opens in a new tab)

ollama run hf.co/Qwen/Qwen3-VL-32B-Instruct-GGUF

Original weights · Hugging Face

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

huggingface.co/Qwen/Qwen3-VL-32B-Instruct (opens in a new tab)

No sign-in needed.

Links checked 7 days ago against Hugging Face, Ollama and GitHub.

How the A grade is scored

Every result gets up to 100 points from four parts. The points decide the letter grade.

Model qualityEditorial quality tier of the model, scaled by the quantization or precision used.29.5 / 45
Memory fitFull marks when everything sits in GPU or unified memory; fewer when part spills to system RAM.24.0 / 25
SpeedGeneration speed against a 40 tokens/s target for LLMs, or render time against a target for image and video.4.5 / 15
Memory useRewards using the memory you have, so a bigger, better variant beats a tiny one that leaves most memory idle.15.0 / 15
Total73.0 / 10073 ptsGreat (A) · 73 of 100 points: Model quality 29.5/45, Memory fit 24.0/25, Speed 4.5/15, Memory use 15.0/15

Grade scale: S 85+ · A 72+ · B 58+ · C 42+ · D 25+ · F under 25 points.

Every quantization on the AMD Ryzen AI 9 HX 470 (DDR5 SO-DIMM) (32 GB)

Quant Memory needed Available Speed Fit Grade · points Download
Q2_K 18.0 GB 24.0 GB 4.7 tok/s Runs well 69 ptsGood (B) · 69 of 100 points: Model quality 24.6/45, Memory fit 25.0/25, Speed 5.1/15, Memory use 15.0/15 GGUF files (opens in a new tab)
Q3_K_M 21.0 GB 24.0 GB 3.7 tok/s Tight fit 73 ptsGreat (A) · 73 of 100 points: Model quality 29.5/45, Memory fit 24.0/25, Speed 4.5/15, Memory use 15.0/15 GGUF files (opens in a new tab)
Q4_K_M 25.0 GB 24.0 GB 2.4 tok/s Runs with offload 62 ptsGood (B) · 62 of 100 points: Model quality 33.3/45, Memory fit 10.0/25, Speed 3.7/15, Memory use 15.0/15 GGUF (opens in a new tab)
Q5_K_M 28.4 GB 24.0 GB 2.0 tok/s Heavy offload 56 ptsUsable (C) · 56 of 100 points: Model quality 34.0/45, Memory fit 4.0/25, Speed 3.3/15, Memory use 15.0/15 GGUF files (opens in a new tab)
Q6_K 32.0 GB 24.0 GB — Won't run 10 ptsWon't run (F) · 10 of 100 points: Model quality 10.4/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15 GGUF files (opens in a new tab)
Q8_0 40.0 GB 24.0 GB — Won't run 10 ptsWon't run (F) · 10 of 100 points: Model quality 10.5/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15 GGUF (opens in a new tab)
F16 71.4 GB 24.0 GB — Won't run 10 ptsWon't run (F) · 10 of 100 points: Model quality 10.5/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15 GGUF · part 1 of 2 (opens in a new tab) Original weights (opens in a new tab)

Memory figures assume 8K of context. Longer conversations or documents grow the KV cache.

Other hardware that runs it

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.