EXAONE 3.0 7.8B Instruct on NVIDIA GeForce RTX 5090

Can the NVIDIA GeForce RTX 5090 run EXAONE 3.0 7.8B Instruct?

70 pts

Yes, it runs well

Runs well. At F16 it needs about 18.4 GB of 32.0 GB usable, with an estimated speed of 66.0 tok/s.

Best quant: F16
Generation speed: 66.0 tok/s
Prompt processing: 9,649 tok/s
First token (1K prompt): 0.3 s
Largest safe context: 4K

Download EXAONE 3.0 7.8B Instruct

Quantized files · GGUF

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

huggingface.co/bartowski/EXAONE-3.0-7.8B-Instruct-GGUF (opens in a new tab)

ollama run hf.co/bartowski/EXAONE-3.0-7.8B-Instruct-GGUF

Original weights · Hugging Face

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

huggingface.co/LGAI-EXAONE/EXAONE-3.0-7.8B-Instruct (opens in a new tab)

Free Hugging Face account needed: accept the license on the model page and the download starts right away.

Links checked 6 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.	17.1 / 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.	13.3 / 15
Total	70.4 / 100	70 ptsGood (B) · 70 of 100 points: Model quality 17.1/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 13.3/15

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

Every quantization on the NVIDIA GeForce RTX 5090

Quant	Memory needed	Available	Speed	Fit	Grade · points	Download
`Q2_K`	5.9 GB	32.0 GB	462 tok/s	Runs well	56 ptsUsable (C) · 56 of 100 points: Model quality 12.0/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 4.2/15	GGUF (opens in a new tab)
`Q3_K_M`	6.6 GB	32.0 GB	364 tok/s	Runs well	59 ptsGood (B) · 59 of 100 points: Model quality 14.4/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 4.7/15	GGUF (opens in a new tab)
`Q4_K_M`	7.5 GB	32.0 GB	281 tok/s	Runs well	61 ptsGood (B) · 61 of 100 points: Model quality 16.2/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 5.4/15	GGUF (opens in a new tab)
`Q5_K_M`	8.3 GB	32.0 GB	232 tok/s	Runs well	62 ptsGood (B) · 62 of 100 points: Model quality 16.6/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 6.0/15	GGUF (opens in a new tab)
`Q6_K`	9.1 GB	32.0 GB	195 tok/s	Runs well	63 ptsGood (B) · 63 of 100 points: Model quality 16.9/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 6.6/15	GGUF (opens in a new tab)
`Q8_0`	11.0 GB	32.0 GB	143 tok/s	Runs well	65 ptsGood (B) · 65 of 100 points: Model quality 17.1/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 8.0/15	GGUF (opens in a new tab)
`F16`	18.4 GB	32.0 GB	66.0 tok/s	Runs well	70 ptsGood (B) · 70 of 100 points: Model quality 17.1/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 13.3/15	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

72 ptsGreat (A) · 72 of 100 points: Model quality 17.1/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA GeForce RTX 4070 SUPER Q8_0 · 40.3 tok/s
71 ptsGood (B) · 71 of 100 points: Model quality 17.1/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 14.7/15 AMD Radeon RX 9070 XT Q8_0 · 44.0 tok/s
71 ptsGood (B) · 71 of 100 points: Model quality 17.1/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 14.7/15 NVIDIA GeForce RTX 4070 Ti SUPER Q8_0 · 53.7 tok/s
71 ptsGood (B) · 71 of 100 points: Model quality 17.1/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 14.7/15 NVIDIA GeForce RTX 4080 SUPER Q8_0 · 58.8 tok/s
71 ptsGood (B) · 71 of 100 points: Model quality 17.1/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 14.7/15 NVIDIA GeForce RTX 5070 Ti Q8_0 · 71.6 tok/s
71 ptsGood (B) · 71 of 100 points: Model quality 17.1/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 14.7/15 NVIDIA GeForce RTX 5080 Q8_0 · 76.7 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.