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Can the AMD Radeon RX 7600 XT run OLMo 2 32B Instruct?

67 ptsGood (B) · 67 of 100 points: Model quality 18.9/45, Memory fit 24.0/25, Speed 9.3/15, Memory use 15.0/15

Yes, with little memory to spare

Tight fit. At Q2_K it needs about 15.4 GB of 16.0 GB usable, with an estimated speed of 15.5 tok/s.

Best quant
Q2_K
Generation speed
15.5 tok/s
Prompt processing
868 tok/s
First token (1K prompt)
1.2 s
Largest safe context
4K

Download OLMo 2 32B Instruct

Quantized files · GGUF

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

huggingface.co/allenai/OLMo-2-0325-32B-Instruct-GGUF (opens in a new tab)

ollama run hf.co/allenai/OLMo-2-0325-32B-Instruct-GGUF

Original weights · Hugging Face

Full-precision files from Ai2, for fine-tuning, vLLM, Transformers.

huggingface.co/allenai/OLMo-2-0325-32B-Instruct (opens in a new tab)

No sign-in needed.

Official repo · GitHub

Reference code, inference scripts and docs from Ai2. The weights themselves download from Hugging Face.

github.com/allenai/OLMo (opens in a new tab)

git clone https://github.com/allenai/OLMo

Links checked 5 days ago against Hugging Face, Ollama and GitHub.

How the B 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.18.9 / 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.9.3 / 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
Total67.2 / 10067 ptsGood (B) · 67 of 100 points: Model quality 18.9/45, Memory fit 24.0/25, Speed 9.3/15, 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 7600 XT

Quant Memory needed Available Speed Fit Grade · points Download
Q2_K 15.4 GB 16.0 GB 15.5 tok/s Tight fit 67 ptsGood (B) · 67 of 100 points: Model quality 18.9/45, Memory fit 24.0/25, Speed 9.3/15, Memory use 15.0/15 GGUF files (opens in a new tab)
Q3_K_M 18.3 GB 16.0 GB 8.8 tok/s Runs with offload 54 ptsUsable (C) · 54 of 100 points: Model quality 22.7/45, Memory fit 10.0/25, Speed 7.0/15, Memory use 15.0/15 GGUF (opens in a new tab)
Q4_K_M 22.1 GB 16.0 GB 5.1 tok/s Heavy offload 50 ptsUsable (C) · 50 of 100 points: Model quality 25.7/45, Memory fit 4.0/25, Speed 5.4/15, Memory use 15.0/15 GGUF (Q4_K_S) (opens in a new tab)
Q5_K_M 25.4 GB 16.0 GB 3.7 tok/s Heavy offload 49 ptsUsable (C) · 49 of 100 points: Model quality 26.2/45, Memory fit 4.0/25, Speed 4.6/15, Memory use 15.0/15 GGUF (Q5_K_S) (opens in a new tab)
Q6_K 28.9 GB 16.0 GB 2.8 tok/s Heavy offload 49 ptsUsable (C) · 49 of 100 points: Model quality 26.7/45, Memory fit 4.0/25, Speed 4.0/15, Memory use 15.0/15 GGUF files (opens in a new tab)
Q8_0 36.6 GB 16.0 GB 1.8 tok/s Heavy offload 49 ptsUsable (C) · 49 of 100 points: Model quality 27.0/45, Memory fit 4.0/25, Speed 3.2/15, Memory use 15.0/15 GGUF (opens in a new tab)
F16 66.9 GB 16.0 GB — Won't run 8 ptsWon't run (F) · 8 of 100 points: Model quality 8.1/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15 Original weights (opens in a new tab)

Memory figures assume 4K 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.