Hunyuan A13B (80B-A13B) on AMD Radeon PRO W7800 48GB

Can the AMD Radeon PRO W7800 48GB run Hunyuan A13B (80B-A13B)?

81 pts

Yes, with little memory to spare

Tight fit. At Q3_K_M it needs about 43.5 GB of 48.0 GB usable, with an estimated speed of 45.4 tok/s.

Best quant: Q3_K_M
Generation speed: 45.4 tok/s
Prompt processing: 4,311 tok/s
First token (1K prompt): 0.3 s
Largest safe context: 32K

Download Hunyuan A13B (80B-A13B)

Quantized files · GGUF

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

huggingface.co/tencent/Hunyuan-A13B-Instruct-GGUF (opens in a new tab)

ollama run hf.co/tencent/Hunyuan-A13B-Instruct-GGUF

Original weights · Hugging Face

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

huggingface.co/tencent/Hunyuan-A13B-Instruct (opens in a new tab)

No sign-in needed.

Official repo · GitHub

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

github.com/Tencent-Hunyuan/Hunyuan-A13B (opens in a new tab)

git clone https://github.com/Tencent-Hunyuan/Hunyuan-A13B

Links checked 5 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.	28.0 / 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.	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	82.0 / 100	81 ptsGreat (A) · 81 of 100 points: Model quality 28.0/45, Memory fit 24.0/25, 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 W7800 48GB

Quant	Memory needed	Available	Speed	Fit	Grade · points	Download
`Q2_K`	36.2 GB	48.0 GB	57.7 tok/s	Runs well	78 ptsGreat (A) · 78 of 100 points: Model quality 23.3/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15	GGUF files (opens in a new tab)
`Q3_K_M`	43.5 GB	48.0 GB	45.4 tok/s	Tight fit	81 ptsGreat (A) · 81 of 100 points: Model quality 28.0/45, Memory fit 24.0/25, Speed 15.0/15, Memory use 15.0/15	GGUF files (opens in a new tab)
`Q4_K_M`	53.1 GB	48.0 GB	17.1 tok/s	Runs with offload	66 ptsGood (B) · 66 of 100 points: Model quality 31.6/45, Memory fit 10.0/25, Speed 9.8/15, Memory use 15.0/15	GGUF (opens in a new tab)
`Q5_K_M`	61.2 GB	48.0 GB	8.7 tok/s	Runs with offload	64 ptsGood (B) · 64 of 100 points: Model quality 32.3/45, Memory fit 10.0/25, Speed 7.0/15, Memory use 15.0/15	GGUF files (opens in a new tab)
`Q6_K`	70.0 GB	48.0 GB	—	Won't run	9 ptsWon't run (F) · 9 of 100 points: Model quality 9.9/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF files (opens in a new tab)
`Q8_0`	89.3 GB	48.0 GB	—	Won't run	9 ptsWon't run (F) · 9 of 100 points: Model quality 10.0/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF · part 1 of 2 (opens in a new tab)
`F16`	165 GB	48.0 GB	—	Won't run	9 ptsWon't run (F) · 9 of 100 points: Model quality 10.0/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	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

87 ptsExcellent (S) · 87 of 100 points: Model quality 33.0/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA RTX PRO 6000 Blackwell Q6_K · 58.7 tok/s
81 ptsGreat (A) · 81 of 100 points: Model quality 31.6/45, Memory fit 25.0/25, Speed 11.2/15, Memory use 14.0/15 Apple M4 Max (128 GB) Q4_K_M · 22.2 tok/s
80 ptsGreat (A) · 80 of 100 points: Model quality 31.6/45, Memory fit 25.0/25, Speed 13.5/15, Memory use 10.0/15 Apple M2 Ultra (192 GB) Q4_K_M · 32.5 tok/s
79 ptsGreat (A) · 79 of 100 points: Model quality 28.0/45, Memory fit 24.0/25, Speed 12.7/15, Memory use 15.0/15 Apple M4 Max (64 GB) Q3_K_M · 28.7 tok/s
79 ptsGreat (A) · 79 of 100 points: Model quality 33.0/45, Memory fit 25.0/25, Speed 6.4/15, Memory use 15.0/15 AMD Ryzen AI Max+ 395 (128 GB) Q6_K · 7.2 tok/s
78 ptsGreat (A) · 78 of 100 points: Model quality 31.6/45, Memory fit 25.0/25, Speed 13.7/15, Memory use 7.9/15 Apple M3 Ultra (256 GB) Q4_K_M · 33.3 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.