Ollama library

Exaone 3.5 7.8B

Ollama library·7.8B·Transformer·32K ctx·2026-08

Check on my hardwareAdd to compare →Ollama →Hugging Face →

Model size→Hardware requirement→Actual fit

Exaone 3.5 7.8B needs ~6–10.4 GB of VRAM depending on quantization. The bar is what it needs; the marker is the card's VRAM. Speed figures below are planning estimates.

8 GB

RTX 4060 · 3060 Ti

6
8
Q4_K_M · Est. ~23 tok/sComfortable

12 GB

RTX 4070 · 3060 12G

10.4
12
Q8_0 · Est. ~23 tok/sComfortable

16 GB

RTX 4080 · M-series 16G

10.4
16
Q8_0 · Est. ~35 tok/sComfortable

24 GB

RTX 4090 · 3090

10.4
24
Q8_0 · Est. ~54 tok/sComfortable

48 GB

A6000 · 2×24G

10.4
48
Q8_0 · Est. ~54 tok/sComfortable

02  — Quantizations

QuantFile sizeEst. VRAM
Q4_K_M4.8 GB6 GB
Q5_K_M5.7 GB6.9 GB
Q8_09.2 GB10.4 GB

03  — Runtimes & use

llama.cpp · Ollama · LM Studio

General · Fast

Memory and speed figures are planning estimates, not measured benchmarks. Memory includes a fixed allowance for KV cache and runtime overhead. Long-context prompts push VRAM use above the numbers shown here.