on

Can the AMD R-Series RX-421ND NAS (64 GB) run DiffusionGemma 26B-A4B IT?

54Fair quality (C) · 54 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.

Yes, but slowly

Slow. At Q2_K it needs about 15.7 GB of 54.4 GB usable, with an estimated speed of 3.3 tok/s.

Best quant
Q2_K
Generation speed
3.3 tok/s
Prompt processing
3.8 tok/s
First token (1K prompt)
273.1 s
Largest safe context
256K

Best app to run it on the AMD R-Series RX-421ND NAS (64 GB)

On Linux

llama.cpp

Command line + local API · runs on llama.cpp

  • Usually the first to support new model architectures.
llama-server -hf unsloth/diffusiongemma-26B-A4B-it-GGUF:Q2_K

Want an agent? DiffusionGemma 26B-A4B IT supports tool use, so you can pair a llama.cpp or MLX LM server with one of these. Apps that run on this computer come first.

Coding agents

Personal assistants

How we choose: the files published for this model, which apps run in a container on a NAS without a graphics card (models run on its processor), and whether the model fits fully in the memory models can use. Details.

Download DiffusionGemma 26B-A4B IT

Quantized files · GGUF

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

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

ollama run hf.co/unsloth/diffusiongemma-26B-A4B-it-GGUF

Original weights · Hugging Face

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

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

No sign-in needed.

Links checked 2 days ago against Hugging Face, Ollama and GitHub.

How it’s rated

Quality 54Fair quality (C) · 54 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking.
How capable the model itself is at Q2_K, from its editorial quality tier scaled by the quantization or precision. It’s the same on any hardware that runs this variant. Scale: A+ 85+ · A 70+ · B 55+ · C 40+ · D under 40.
Runs Slow
How well it runs on the AMD R-Series RX-421ND NAS (64 GB): speed, capped by how well it fits in memory. Runs great: 30+ tokens/s (or near the image, video or decision speed target) · Runs well: 10+ tokens/s · Slow: 3+ tokens/s · Very slow: under 3 · Won’t run: doesn’t fit even with offload. A tight fit or RAM offload caps it at Runs well; heavy offload caps it at Slow.

Match score

To order lists, each result also gets a match score out of 100 from four parts. It favors the most capable model that still runs well.

Model qualityEditorial quality tier of the model, scaled by the quantization or precision used.24.6 / 45
Memory fitFull marks when the model fits in the share of the NAS’s memory that models can use (the rest stays with the NAS system and its storage services); fewer when it goes past that limit.25.0 / 25
SpeedGeneration speed against a 40 tokens/s target for LLMs, or render time against a target for image and video.4.3 / 15
Memory useRewards using the memory you have, so a bigger, better variant beats a tiny one that leaves most memory idle.6.7 / 15
Match score60.5 / 100

The match score orders results; it is not shown as a grade. Quality and Runs are the two ratings in the tables.

Every quantization on the AMD R-Series RX-421ND NAS (64 GB)

Quant Memory needed Available Speed Runs Quality Download
Q2_K 15.7 GB 54.4 GB 3.3 tok/s Slow 54Fair quality (C) · 54 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 60/100 (quality, fit, speed and memory use) sets the ranking. GGUF files (opens in a new tab)
Q3_K_M 18.0 GB 54.4 GB 2.6 tok/s Very slow 65Good quality (B) · 65 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking. GGUF files (opens in a new tab)
Q4_K_M 21.1 GB 54.4 GB 2.0 tok/s Very slow 74Great quality (A) · 74 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. GGUF (opens in a new tab)
Q5_K_M 23.7 GB 54.4 GB 1.7 tok/s Very slow 75Great quality (A) · 75 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. GGUF (opens in a new tab)
Q6_K 26.5 GB 54.4 GB 1.4 tok/s Very slow 77Great quality (A) · 77 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking. GGUF (opens in a new tab)
Q8_0 32.7 GB 54.4 GB 1.0 tok/s Very slow 78Great quality (A) · 78 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking. GGUF (opens in a new tab)
F16 57.0 GB 54.4 GB 0.4 tok/s Very slowover memory limit 78Great quality (A) · 78 of 100: how capable the model is at F16, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking. GGUF (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

Quick answers

How much memory does DiffusionGemma 26B-A4B IT need on the AMD R-Series RX-421ND NAS 64GB?

At Q2_K it needs about 15.7 GB. The AMD R-Series RX-421ND NAS 64GB has 54.4 GB usable.

How fast is DiffusionGemma 26B-A4B IT on the AMD R-Series RX-421ND NAS 64GB?

About 3.3 tok/s at Q2_K, an estimate from the hardware’s memory bandwidth and the size of the model.

Which quantization of DiffusionGemma 26B-A4B IT should I use on the AMD R-Series RX-421ND NAS 64GB?

Q2_K. Of the versions that fit, it is the one that runs best; when two run equally well, the check prefers the higher-rated one.

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.

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