EXAONE 3.5 2.4B on AMD Radeon RX 9070 XT

Can the AMD Radeon RX 9070 XT run EXAONE 3.5 2.4B?

63 pts

Yes, it runs well

Runs well. At F16 it needs about 6.8 GB of 16.0 GB usable, with an estimated speed of 65.9 tok/s.

Best quant: F16
Generation speed: 65.9 tok/s
Prompt processing: 25,032 tok/s
First token (1K prompt): 0.3 s
Largest safe context: 32K

Download EXAONE 3.5 2.4B

Recommended for the AMD Radeon RX 9070 XT: F16. Every other quantization has its own download link in the table below.

Quickest · Ollama

One command downloads a ready-to-run version and starts a chat.

ollama run exaone3.5:2.4b-instruct-fp16

Get Ollama at ollama.com/download (opens in a new tab) · model page (opens in a new tab)

Quantized files · GGUF

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

Download the F16 file (opens in a new tab)

huggingface.co/LGAI-EXAONE/EXAONE-3.5-2.4B-Instruct-GGUF (opens in a new tab)

ollama run hf.co/LGAI-EXAONE/EXAONE-3.5-2.4B-Instruct-GGUF:BF16

Original weights · Hugging Face

Full-precision files from LG AI Research, for fine-tuning, vLLM, Transformers.

huggingface.co/LGAI-EXAONE/EXAONE-3.5-2.4B-Instruct (opens in a new tab)

No sign-in needed.

Official repo · GitHub

Reference code, inference scripts and docs from LG AI Research. The weights themselves download from Hugging Face.

github.com/LG-AI-EXAONE/EXAONE-3.5 (opens in a new tab)

git clone https://github.com/LG-AI-EXAONE/EXAONE-3.5

Links checked 7 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.	13.5 / 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.	9.9 / 15
Total	63.4 / 100	63 ptsGood (B) · 63 of 100 points: Model quality 13.5/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 9.9/15

Grade scale: S 85+ · A 72+ · B 58+ · C 42+ · D 25+ · F under 25 points.

Every quantization on the AMD Radeon RX 9070 XT

Quant	Memory needed	Available	Speed	Fit	Grade · points	Download
`Q2_K`	3.0 GB	16.0 GB	461 tok/s	Runs well	53 ptsUsable (C) · 53 of 100 points: Model quality 9.5/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 4.3/15	GGUF files (opens in a new tab)
`Q3_K_M`	3.2 GB	16.0 GB	363 tok/s	Runs well	55 ptsUsable (C) · 55 of 100 points: Model quality 11.3/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 4.6/15	GGUF files (opens in a new tab)
`Q4_K_M`	3.5 GB	16.0 GB	281 tok/s	Runs well	57 ptsUsable (C) · 57 of 100 points: Model quality 12.8/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 5.0/15	GGUF (opens in a new tab)
`Q5_K_M`	3.7 GB	16.0 GB	232 tok/s	Runs well	58 ptsGood (B) · 58 of 100 points: Model quality 13.1/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 5.4/15	GGUF (opens in a new tab)
`Q6_K`	4.0 GB	16.0 GB	195 tok/s	Runs well	59 ptsGood (B) · 59 of 100 points: Model quality 13.4/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 5.8/15	GGUF (opens in a new tab)
`Q8_0`	4.6 GB	16.0 GB	143 tok/s	Runs well	60 ptsGood (B) · 60 of 100 points: Model quality 13.5/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 6.6/15	GGUF (opens in a new tab)
`F16`	6.8 GB	16.0 GB	65.9 tok/s	Runs well	63 ptsGood (B) · 63 of 100 points: Model quality 13.5/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 9.9/15	GGUF (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

66 ptsGood (B) · 66 of 100 points: Model quality 13.5/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 12.8/15 Intel Arc B580 F16 · 41.6 tok/s
66 ptsGood (B) · 66 of 100 points: Model quality 13.5/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 12.8/15 NVIDIA GeForce RTX 3060 12GB F16 · 43.0 tok/s
66 ptsGood (B) · 66 of 100 points: Model quality 13.5/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 12.8/15 NVIDIA GeForce RTX 4070 SUPER F16 · 60.2 tok/s
65 ptsGood (B) · 65 of 100 points: Model quality 13.5/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 12.1/15 NVIDIA GeForce RTX 4060 Q8_0 · 70.5 tok/s
63 ptsGood (B) · 63 of 100 points: Model quality 13.5/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 9.9/15 NVIDIA GeForce RTX 4070 Ti SUPER F16 · 80.3 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.