Iris-3B on AMD EPYC 7002 / 7003 series NAS (128 GB)
Can the AMD EPYC 7002 / 7003 series NAS (128 GB) run Iris-3B?
Barely: it runs very slowly
Very slow. At FP16 it needs about 17.3 GB of 113 GB usable, with an estimated speed of 11.0 min.
- Best precision
FP16- Memory mode
- Everything on GPU
- Time per image
- 11.0 min
- Output
- 1024×1024, 100 steps
Download Iris-3B
Original weights · Hugging Face
Full-precision files from Speridlabs, for fine-tuning, vLLM, Transformers, Diffusers or ComfyUI.
Official repo · GitHub
Reference code, inference scripts and docs from Speridlabs. The weights themselves download from Hugging Face.
github.com/speridlabs/iris-3b (opens in a new tab)
git clone https://github.com/speridlabs/iris-3bHow it’s rated
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 quality | 32.4 / 45 | |
|---|---|---|
| Memory fit | 25.0 / 25 | |
| Speed | 1.8 / 15 | |
| Memory use | 3.5 / 15 | |
| Match score | 62.8 / 100 |
Every precision on the AMD EPYC 7002 / 7003 series NAS (128 GB)
| Quant | Memory needed | Available | Speed | Memory mode | Runs | Quality | Download |
|---|---|---|---|---|---|---|---|
FP16 | 17.3 GB | 113 GB | 11.0 min | Everything on GPU | Very slow | 72Great quality (A) · 72 of 100: how capable the model is at FP16, whatever it runs on. Match score 62/100 (quality, fit, speed and memory use) sets the ranking. | Original weights (opens in a new tab) |
Other hardware that runs it
-
72Great quality (A) · 72 of 100: how capable the model is at FP16, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 4090
-
72Great quality (A) · 72 of 100: how capable the model is at FP16, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.
AMD Radeon RX 7900 XTX
-
72Great quality (A) · 72 of 100: how capable the model is at FP16, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 5090
-
72Great quality (A) · 72 of 100: how capable the model is at FP16, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 3090
-
72Great quality (A) · 72 of 100: how capable the model is at FP16, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 4070 SUPER
-
72Great quality (A) · 72 of 100: how capable the model is at FP16, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA RTX PRO 6000 Blackwell
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.