EXAONE 3.0 7.8B Instruct on Apple M2 Pro (32 GB)

Can the Apple M2 Pro (32 GB) run EXAONE 3.0 7.8B Instruct?

61 pts

Yes, it runs well

Runs well. At Q4_K_M it needs about 7.6 GB of 21.4 GB usable, with an estimated speed of 27.0 tok/s.

Best quant: Q4_K_M
Generation speed: 27.0 tok/s
Prompt processing: 539 tok/s
First token (1K prompt): 1.9 s
Largest safe context: 4K

Download EXAONE 3.0 7.8B Instruct

Recommended for the Apple M2 Pro (32 GB): Q4_K_M. Every other quantization has its own download link in the table below.

Quantized files · GGUF

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

Download the Q4_K_M file (opens in a new tab)

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:Q4_K_M

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.	16.2 / 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.	12.3 / 15
Memory useRewards using the memory you have, so a bigger, better variant beats a tiny one that leaves most memory idle.	8.2 / 15
Total	61.8 / 100	61 ptsGood (B) · 61 of 100 points: Model quality 16.2/45, Memory fit 25.0/25, Speed 12.3/15, Memory use 8.2/15

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

Every quantization on the Apple M2 Pro (32 GB)

Quant	Memory needed	Available	Speed	Fit	Grade · points	Download
`Q2_K`	6.0 GB	21.4 GB	44.4 tok/s	Runs well	58 ptsGood (B) · 58 of 100 points: Model quality 12.0/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 6.4/15	GGUF (opens in a new tab)
`Q3_K_M`	6.7 GB	21.4 GB	34.9 tok/s	Runs well	60 ptsGood (B) · 60 of 100 points: Model quality 14.4/45, Memory fit 25.0/25, Speed 14.0/15, Memory use 7.2/15	GGUF (opens in a new tab)
`Q4_K_M`	7.6 GB	21.4 GB	27.0 tok/s	Runs well	61 ptsGood (B) · 61 of 100 points: Model quality 16.2/45, Memory fit 25.0/25, Speed 12.3/15, Memory use 8.2/15	GGUF (opens in a new tab)
`Q5_K_M`	8.4 GB	21.4 GB	22.3 tok/s	Runs well	61 ptsGood (B) · 61 of 100 points: Model quality 16.6/45, Memory fit 25.0/25, Speed 11.2/15, Memory use 9.0/15	GGUF (opens in a new tab)
`Q6_K`	9.3 GB	21.4 GB	18.8 tok/s	Runs well	62 ptsGood (B) · 62 of 100 points: Model quality 16.9/45, Memory fit 25.0/25, Speed 10.3/15, Memory use 10.0/15	GGUF (opens in a new tab)
`Q8_0`	11.1 GB	21.4 GB	13.8 tok/s	Runs well	62 ptsGood (B) · 62 of 100 points: Model quality 17.1/45, Memory fit 25.0/25, Speed 8.8/15, Memory use 12.0/15	GGUF (opens in a new tab)
`F16`	18.5 GB	21.4 GB	6.3 tok/s	Tight fit	62 ptsGood (B) · 62 of 100 points: Model quality 17.1/45, Memory fit 24.0/25, Speed 6.0/15, Memory use 15.0/15	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

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.