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Can the AMD Radeon RX 9060 XT 8GB run Qwen1.5 MoE A2.7B Chat?

49 ptsUsable (C) · 49 of 100 points: Model quality 9.1/45, Memory fit 10.0/25, Speed 15.0/15, Memory use 15.0/15

Yes, with part of the model in system RAM

Runs with offload. At Q3_K_M it needs about 9.6 GB of 8.0 GB usable, with an estimated speed of 46.9 tok/s.

Best quant
Q3_K_M
Generation speed
46.9 tok/s
Prompt processing
9,848 tok/s
First token (1K prompt)
0.3 s
Largest safe context
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Download Qwen1.5 MoE A2.7B Chat

Original weights · Hugging Face

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

huggingface.co/Qwen/Qwen1.5-MoE-A2.7B-Chat (opens in a new tab)

No sign-in needed.

Links checked 7 days ago against Hugging Face, Ollama and GitHub.

How the C 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.9.1 / 45
Memory fitFull marks when everything sits in GPU or unified memory; fewer when part spills to system RAM.10.0 / 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
Total49.1 / 10049 ptsUsable (C) · 49 of 100 points: Model quality 9.1/45, Memory fit 10.0/25, 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 8.3 GB 8.0 GB 86.8 tok/s Runs with offload 47 ptsUsable (C) · 47 of 100 points: Model quality 7.6/45, Memory fit 10.0/25, Speed 15.0/15, Memory use 15.0/15 All files (opens in a new tab)
Q3_K_M 9.6 GB 8.0 GB 46.9 tok/s Runs with offload 49 ptsUsable (C) · 49 of 100 points: Model quality 9.1/45, Memory fit 10.0/25, Speed 15.0/15, Memory use 15.0/15 All files (opens in a new tab)
Q4_K_M 11.3 GB 8.0 GB 28.5 tok/s Heavy offload 41 ptsPoor (D) · 41 of 100 points: Model quality 10.3/45, Memory fit 4.0/25, Speed 12.7/15, Memory use 15.0/15 All files (opens in a new tab)
Q5_K_M 12.8 GB 8.0 GB 20.9 tok/s Heavy offload 40 ptsPoor (D) · 40 of 100 points: Model quality 10.5/45, Memory fit 4.0/25, Speed 10.9/15, Memory use 15.0/15 All files (opens in a new tab)
Q6_K 14.4 GB 8.0 GB 16.1 tok/s Heavy offload 39 ptsPoor (D) · 39 of 100 points: Model quality 10.7/45, Memory fit 4.0/25, Speed 9.5/15, Memory use 15.0/15 All files (opens in a new tab)
Q8_0 17.8 GB 8.0 GB 10.6 tok/s Heavy offload 37 ptsPoor (D) · 37 of 100 points: Model quality 10.8/45, Memory fit 4.0/25, Speed 7.7/15, Memory use 15.0/15 All files (opens in a new tab)
F16 31.3 GB 8.0 GB — Won't run 3 ptsWon't run (F) · 3 of 100 points: Model quality 3.2/45, 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

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.