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Can the AMD Ryzen AI 9 HX 370 (DDR5 SO-DIMM) (32 GB) run Gemma 4 26B-A4B?

87 ptsExcellent (S) · 87 of 100 points: Model quality 39.5/45, Memory fit 25.0/25, Speed 8.4/15, Memory use 15.0/15

Yes, it runs well

Runs well. At Q4_K_M it needs about 18.7 GB of 24.0 GB usable, with an estimated speed of 12.5 tok/s.

Best quant
Q4_K_M
Generation speed
12.5 tok/s
Prompt processing
3,883 tok/s
First token (1K prompt)
0.3 s
Largest safe context
113K

Download Gemma 4 26B-A4B

Recommended for the AMD Ryzen AI 9 HX 370 (DDR5 SO-DIMM) (32 GB): Q4_K_M. Every other quantization has its own download link in the table below.

Quickest · Ollama

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

ollama run gemma4:26b-a4b-it-q4_K_M

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.

Download the Q4_K_M file (opens in a new tab)

huggingface.co/unsloth/gemma-4-26B-A4B-it-GGUF (opens in a new tab)

ollama run hf.co/unsloth/gemma-4-26B-A4B-it-GGUF:Q4_K_M

Original weights · Hugging Face

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

huggingface.co/google/gemma-4-26B-A4B-it (opens in a new tab)

No sign-in needed.

Official repo · GitHub

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

github.com/google-deepmind/gemma (opens in a new tab)

git clone https://github.com/google-deepmind/gemma

Google DeepMind’s official Gemma library.

Links checked 1 week ago against Hugging Face, Ollama and GitHub.

How the S 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.39.5 / 45
Memory fitFull marks when everything sits in GPU or unified memory; fewer when part spills to system RAM.25.0 / 25
SpeedGeneration speed against a 40 tokens/s target for LLMs, or render time against a target for image and video.8.4 / 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
Total87.9 / 10087 ptsExcellent (S) · 87 of 100 points: Model quality 39.5/45, Memory fit 25.0/25, Speed 8.4/15, 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 370 (DDR5 SO-DIMM) (32 GB)

Quant Memory needed Available Speed Fit Grade · points Download
Q2_K 13.2 GB 24.0 GB 20.5 tok/s Runs well 77 ptsGreat (A) · 77 of 100 points: Model quality 29.1/45, Memory fit 25.0/25, Speed 10.7/15, Memory use 12.7/15 GGUF (UD-Q2_K_XL) (opens in a new tab)
Q3_K_M 15.6 GB 24.0 GB 16.1 tok/s Runs well 84 ptsGreat (A) · 84 of 100 points: Model quality 35.0/45, Memory fit 25.0/25, Speed 9.5/15, Memory use 15.0/15 GGUF (opens in a new tab)
Q4_K_M 18.7 GB 24.0 GB 12.5 tok/s Runs well 87 ptsExcellent (S) · 87 of 100 points: Model quality 39.5/45, Memory fit 25.0/25, Speed 8.4/15, Memory use 15.0/15 GGUF (opens in a new tab)
Q5_K_M 21.2 GB 24.0 GB 10.3 tok/s Tight fit 86 ptsExcellent (S) · 86 of 100 points: Model quality 40.4/45, Memory fit 24.0/25, Speed 7.6/15, Memory use 15.0/15 GGUF (opens in a new tab)
Q6_K 24.1 GB 24.0 GB 7.3 tok/s Runs with offload 72 ptsGreat (A) · 72 of 100 points: Model quality 41.2/45, Memory fit 10.0/25, Speed 6.4/15, Memory use 15.0/15 GGUF (opens in a new tab)
Q8_0 30.3 GB 24.0 GB — Won't run 12 ptsWon't run (F) · 12 of 100 points: Model quality 12.5/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15 GGUF (opens in a new tab)
F16 54.5 GB 24.0 GB — Won't run 12 ptsWon't run (F) · 12 of 100 points: Model quality 12.5/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15 GGUF · folder (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.