Nemotron Cascade 2 30B-A3B on AMD Radeon PRO W7900

Can the AMD Radeon PRO W7900 run Nemotron Cascade 2 30B-A3B?

91 pts

Yes, it runs well

Runs well. At Q8_0 it needs about 36.5 GB of 48.0 GB usable, with an estimated speed of 66.4 tok/s.

Best quant: Q8_0
Generation speed: 66.4 tok/s
Prompt processing: 21,718 tok/s
First token (1K prompt): 0.3 s
Largest safe context: 256K

Download Nemotron Cascade 2 30B-A3B

Recommended for the AMD Radeon PRO W7900: Q8_0. Every other quantization has its own download link in the table below.

Quantized files · GGUF

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

Download the Q8_0 file (opens in a new tab)

huggingface.co/bartowski/nvidia_Nemotron-Cascade-2-30B-A3B-GGUF (opens in a new tab)

ollama run hf.co/bartowski/nvidia_Nemotron-Cascade-2-30B-A3B-GGUF:Q8_0

Original weights · Hugging Face

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

huggingface.co/nvidia/Nemotron-Cascade-2-30B-A3B (opens in a new tab)

No sign-in needed.

Links checked 5 days 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.	36.0 / 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.	15.0 / 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
Total	91.0 / 100	91 ptsExcellent (S) · 91 of 100 points: Model quality 36.0/45, Memory fit 25.0/25, Speed 15.0/15, 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 Radeon PRO W7900

Quant	Memory needed	Available	Speed	Fit	Grade · points	Download
`Q2_K`	15.7 GB	48.0 GB	214 tok/s	Runs well	72 ptsGreat (A) · 72 of 100 points: Model quality 25.2/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 7.5/15	GGUF (opens in a new tab)
`Q3_K_M`	18.5 GB	48.0 GB	169 tok/s	Runs well	79 ptsGreat (A) · 79 of 100 points: Model quality 30.2/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 8.9/15	GGUF (opens in a new tab)
`Q4_K_M`	22.3 GB	48.0 GB	130 tok/s	Runs well	84 ptsGreat (A) · 84 of 100 points: Model quality 34.2/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 10.7/15	GGUF (opens in a new tab)
`Q5_K_M`	25.5 GB	48.0 GB	108 tok/s	Runs well	87 ptsExcellent (S) · 87 of 100 points: Model quality 34.9/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 12.2/15	GGUF (opens in a new tab)
`Q6_K`	28.9 GB	48.0 GB	90.5 tok/s	Runs well	89 ptsExcellent (S) · 89 of 100 points: Model quality 35.6/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 13.9/15	GGUF (opens in a new tab)
`Q8_0`	36.5 GB	48.0 GB	66.4 tok/s	Runs well	91 ptsExcellent (S) · 91 of 100 points: Model quality 36.0/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15	GGUF (opens in a new tab)
`F16`	66.2 GB	48.0 GB	7.8 tok/s	Runs with offload	67 ptsGood (B) · 67 of 100 points: Model quality 36.0/45, Memory fit 10.0/25, Speed 6.6/15, Memory use 15.0/15	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

91 ptsExcellent (S) · 91 of 100 points: Model quality 36.0/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 Apple M4 Max (64 GB) Q8_0 · 42.0 tok/s
91 ptsExcellent (S) · 91 of 100 points: Model quality 36.0/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA RTX PRO 6000 Blackwell F16 · 73.7 tok/s
90 ptsExcellent (S) · 90 of 100 points: Model quality 35.6/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 14.6/15 Apple M1 Max (64 GB) Q6_K · 41.9 tok/s
89 ptsExcellent (S) · 89 of 100 points: Model quality 34.9/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 5090 Q5_K_M · 260 tok/s
88 ptsExcellent (S) · 88 of 100 points: Model quality 34.2/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 14.6/15 Apple M4 Pro (48 GB) Q4_K_M · 41.2 tok/s
88 ptsExcellent (S) · 88 of 100 points: Model quality 34.2/45, Memory fit 24.0/25, Speed 15.0/15, Memory use 15.0/15 AMD Radeon RX 7900 XTX Q4_K_M · 145 tok/s

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.