FitMyLLM
exaone/Dense

EEXAONE Deep 7.8B

reasoningmathcoding
7.8B
Parameters
32K
Context length
7
Benchmarks
6
Quantizations
Architecture
Dense
Released
2025-03-16
Layers
32
KV Heads
8
Head Dim
128
Family
exaone

Quantization Options

QuantBitsVRAMQuality
Q4_K_M4.895.3 GBgood
Q5_K_S5.575.9 GBgood
Q5_K_M5.76.0 GBgood
Q6_K6.566.9 GBexcellent
Q8_08.58.8 GBlossless
FP161616.1 GBlossless

Select your GPU above to see speed estimates and compatibility for each quantization.

Benchmarks (7)

MATH-50094.8
IFEval81.4
MATH47.5
MMLU-PRO34.8
BBH25.7
MUSR4.9
GPQA1.0

Run this model

Easiest way to get starteddocs →
curl -fsSL https://ollama.com/install.sh | sh
$ollama run exaone-deep:7.8b:q4_k_m

Downloads and runs automatically. Add --verbose for speed stats.

Setup guide
HuggingFaceOllama LibraryGGUF DownloadsBuild Hardware

GPUs that can run this model

At Q4_K_M quantization. Sorted by minimum VRAM.

NVIDIA RTX 3050 6GB
6 GB VRAM • 168 GB/s
NVIDIA
$169
Intel Arc A380
6 GB VRAM • 186 GB/s
INTEL
$129
NVIDIA RTX 2060 6GB
6 GB VRAM • 336 GB/s
NVIDIA
$150
NVIDIA GTX 1660 SUPER
6 GB VRAM • 336 GB/s
NVIDIA
$150
NVIDIA GTX 1660 Ti
6 GB VRAM • 288 GB/s
NVIDIA
$140
NVIDIA GTX 1060 6GB
6 GB VRAM • 192 GB/s
NVIDIA
$80
NVIDIA Tesla C2070
6 GB VRAM • 143 GB/s
NVIDIA
NVIDIA Tesla C2075
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla C2090
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla M2070
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla M2070-Q
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla M2075
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla M2090
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla X2070
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla X2090
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla K20X
6 GB VRAM • 250 GB/s
NVIDIA
NVIDIA Tesla K20Xm
6 GB VRAM • 250 GB/s
NVIDIA
NVIDIA GeForce GTX 1060 6 GB
6 GB VRAM • 192 GB/s
NVIDIA
NVIDIA GeForce GTX 1060 6 GB 9Gbps
6 GB VRAM • 217 GB/s
NVIDIA
NVIDIA GeForce GTX 1060 6 GB GDDR5X
6 GB VRAM • 192 GB/s
NVIDIA
NVIDIA GeForce GTX 1060 6 GB GP104
6 GB VRAM • 192 GB/s
NVIDIA
NVIDIA GeForce GTX 1060 6 GB Rev. 2
6 GB VRAM • 192 GB/s
NVIDIA
NVIDIA GeForce GTX 1660
6 GB VRAM • 192 GB/s
NVIDIA
NVIDIA GeForce GTX 1660 SUPER
6 GB VRAM • 336 GB/s
NVIDIA
NVIDIA GeForce GTX 1660 Ti
6 GB VRAM • 288 GB/s
NVIDIA
NVIDIA GeForce RTX 2060
6 GB VRAM • 336 GB/s
NVIDIA
$140
NVIDIA GeForce RTX 2060 TU104
6 GB VRAM • 336 GB/s
NVIDIA
$140
AMD Radeon RX 5600 OEM
6 GB VRAM • 288 GB/s
AMD
AMD Radeon RX 5600 XT
6 GB VRAM • 288 GB/s
AMD
$90
AMD Radeon RX 5600M
6 GB VRAM • 288 GB/s
AMD

Find the best GPU for EXAONE Deep 7.8B

Build Hardware for EXAONE Deep 7.8B

EXAONE Deep 7.8B — 7.8B Parameter Dense LLM

Model Specifications

Parameters
7.8B
Architecture
Dense Transformer
Context Length
32K tokens
Capabilities
reasoning, math, coding
Release Date
2025-03-16
Family
exaone

VRAM Requirements

QuantizationBPWVRAMQuality
Q4_K_M4.895.3 GB94%
Q5_K_S5.575.9 GB96%
Q5_K_M5.76.0 GB96%
Q6_K6.566.9 GB97%
Q8_08.58.8 GB100%
FP161616.1 GB100%

Benchmark Scores

MMLU-PRO34.8
MATH47.5
IFEval81.4
BBH25.7
GPQA1.0
MUSR4.9
MATH-50094.8

How to Run EXAONE Deep 7.8B

Run EXAONE Deep 7.8B locally with Ollama (needs 5.3 GB VRAM at Q4_K_M):

ollama run exaone-deep:7.8b

Compatible GPUs (30)

GPUs that can run EXAONE Deep 7.8B at Q4_K_M quantization:

NVIDIA RTX 3050 6GB(6GB, 168 GB/s)Intel Arc A380(6GB, 186 GB/s)NVIDIA RTX 2060 6GB(6GB, 336 GB/s)NVIDIA GTX 1660 SUPER(6GB, 336 GB/s)NVIDIA GTX 1660 Ti(6GB, 288 GB/s)NVIDIA GTX 1060 6GB(6GB, 192 GB/s)NVIDIA Tesla C2070(6GB, 143 GB/s)NVIDIA Tesla C2075(6GB, 150 GB/s)NVIDIA Tesla C2090(6GB, 177 GB/s)NVIDIA Tesla M2070(6GB, 150 GB/s)NVIDIA Tesla M2070-Q(6GB, 150 GB/s)NVIDIA Tesla M2075(6GB, 150 GB/s)NVIDIA Tesla M2090(6GB, 177 GB/s)NVIDIA Tesla X2070(6GB, 177 GB/s)NVIDIA Tesla X2090(6GB, 177 GB/s)