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Can the AMD Radeon RX 9060 XT 8GB run Mage-VL 4.7B?

79 ptsGreat (A) · 79 of 100 points: Model quality 24.9/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15

Yes, it runs well

Runs well. At Q6_K it needs about 6.1 GB of 8.0 GB usable, with an estimated speed of 49.5 tok/s.

Best quant
Q6_K
Generation speed
49.5 tok/s
Prompt processing
6,697 tok/s
First token (1K prompt)
0.3 s
Largest safe context
20K

Download Mage-VL 4.7B

Original weights · Hugging Face

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

huggingface.co/microsoft/Mage-VL (opens in a new tab)

No sign-in needed.

Links checked 1 week 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.24.9 / 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
Total79.9 / 10079 ptsGreat (A) · 79 of 100 points: Model quality 24.9/45, 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 RX 9060 XT 8GB

Quant Memory needed Available Speed Fit Grade · points Download
Q2_K 4.1 GB 8.0 GB 117 tok/s Runs well 69 ptsGood (B) · 69 of 100 points: Model quality 17.6/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 11.8/15 All files (opens in a new tab)
Q3_K_M 4.5 GB 8.0 GB 92.3 tok/s Runs well 74 ptsGreat (A) · 74 of 100 points: Model quality 21.2/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 13.1/15 All files (opens in a new tab)
Q4_K_M 5.1 GB 8.0 GB 71.4 tok/s Runs well 78 ptsGreat (A) · 78 of 100 points: Model quality 23.9/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 14.7/15 All files (opens in a new tab)
Q5_K_M 5.6 GB 8.0 GB 59.0 tok/s Runs well 79 ptsGreat (A) · 79 of 100 points: Model quality 24.4/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 All files (opens in a new tab)
Q6_K 6.1 GB 8.0 GB 49.5 tok/s Runs well 79 ptsGreat (A) · 79 of 100 points: Model quality 24.9/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 All files (opens in a new tab)
Q8_0 7.2 GB 8.0 GB 36.3 tok/s Tight fit 78 ptsGreat (A) · 78 of 100 points: Model quality 25.2/45, Memory fit 24.0/25, Speed 14.3/15, Memory use 15.0/15 All files (opens in a new tab)
F16 11.7 GB 8.0 GB 7.5 tok/s Heavy offload 50 ptsUsable (C) · 50 of 100 points: Model quality 25.2/45, Memory fit 4.0/25, Speed 6.5/15, Memory use 15.0/15 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

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.