Qwen2 57B-A14B Instruct on AMD Radeon RX 9060 XT 8GB

Can the AMD Radeon RX 9060 XT 8GB run Qwen2 57B-A14B Instruct?

40 pts

Barely: most of the model spills into system RAM

Heavy offload. At Q2_K it needs about 24.4 GB of 8.0 GB usable, with an estimated speed of 6.1 tok/s.

Best quant: Q2_K
Generation speed: 6.1 tok/s
Prompt processing: 1,132 tok/s
First token (1K prompt): 0.9 s
Largest safe context: —

Download Qwen2 57B-A14B Instruct

Quantized files · GGUF

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

huggingface.co/Qwen/Qwen2-57B-A14B-Instruct-GGUF (opens in a new tab)

ollama run hf.co/Qwen/Qwen2-57B-A14B-Instruct-GGUF

Original weights · Hugging Face

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

huggingface.co/Qwen/Qwen2-57B-A14B-Instruct (opens in a new tab)

No sign-in needed.

Links checked 1 week ago against Hugging Face, Ollama and GitHub.

How the D 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.	15.8 / 45
Memory fitFull marks when everything sits in GPU or unified memory; fewer when part spills to system RAM.	4.0 / 25
SpeedGeneration speed against a 40 tokens/s target for LLMs, or render time against a target for image and video.	5.9 / 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	40.6 / 100	40 ptsPoor (D) · 40 of 100 points: Model quality 15.8/45, Memory fit 4.0/25, Speed 5.9/15, 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`	24.4 GB	8.0 GB	6.1 tok/s	Heavy offload	40 ptsPoor (D) · 40 of 100 points: Model quality 15.8/45, Memory fit 4.0/25, Speed 5.9/15, Memory use 15.0/15	GGUF files (opens in a new tab)
`Q3_K_M`	29.6 GB	8.0 GB	—	Won't run	5 ptsWon't run (F) · 5 of 100 points: Model quality 5.7/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF (opens in a new tab)
`Q4_K_M`	36.5 GB	8.0 GB	—	Won't run	6 ptsWon't run (F) · 6 of 100 points: Model quality 6.4/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF (opens in a new tab)
`Q5_K_M`	42.2 GB	8.0 GB	—	Won't run	6 ptsWon't run (F) · 6 of 100 points: Model quality 6.5/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF (opens in a new tab)
`Q6_K`	48.5 GB	8.0 GB	—	Won't run	6 ptsWon't run (F) · 6 of 100 points: Model quality 6.7/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF (opens in a new tab)
`Q8_0`	62.3 GB	8.0 GB	—	Won't run	6 ptsWon't run (F) · 6 of 100 points: Model quality 6.8/45, 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`	116 GB	8.0 GB	—	Won't run	6 ptsWon't run (F) · 6 of 100 points: Model quality 6.8/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF · part 1 of 3 (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

77 ptsGreat (A) · 77 of 100 points: Model quality 22.5/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA RTX PRO 6000 Blackwell Q8_0 · 40.0 tok/s
72 ptsGreat (A) · 72 of 100 points: Model quality 18.9/45, Memory fit 24.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 5090 Q3_K_M · 102 tok/s
72 ptsGreat (A) · 72 of 100 points: Model quality 21.4/45, Memory fit 25.0/25, Speed 10.8/15, Memory use 15.0/15 Apple M4 Max (64 GB) Q4_K_M · 20.6 tok/s
70 ptsGood (B) · 70 of 100 points: Model quality 21.4/45, Memory fit 25.0/25, Speed 9.2/15, Memory use 15.0/15 Apple M1 Max (64 GB) Q4_K_M · 15.1 tok/s
67 ptsGood (B) · 67 of 100 points: Model quality 21.4/45, Memory fit 25.0/25, Speed 10.8/15, Memory use 10.5/15 Apple M4 Max (128 GB) Q4_K_M · 20.6 tok/s
67 ptsGood (B) · 67 of 100 points: Model quality 21.4/45, Memory fit 25.0/25, Speed 13.0/15, Memory use 7.6/15 Apple M2 Ultra (192 GB) Q4_K_M · 30.2 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.