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.

READY TO RUN THIS?RENT BY THE HOUR

RENT A GPU AND RUN EXAONE DEEP 7.8B NOW

Spin up an A100 / H100 / 4090 in ~60s. Pay by the second. Cancel anytime.

Community Ratings

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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 started·Beginners
DOCS ↗
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
>_

Auto-setup with fitmyllm CLI

Detects your GPU, recommends the best model, downloads it, and starts chatting — zero config. Benchmarks your speed and contributes anonymous data to improve predictions.

pip install fitmyllmthen run fitmyllmLearn more
Auto-detect GPULive tok/s in chatSpeed benchmarks9 inference engines

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 Ti
6 GB VRAM • 288 GB/s
NVIDIA
$140
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

Find the best GPU for EXAONE Deep 7.8B

Build Hardware for EXAONE Deep 7.8B
▸ SPEC SHEET

EXAONE Deep 7.8B7.8B Dense.

▸ SPECIFICATIONS
PARAMETERS
7.8B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
32K tokens
CAPABILITIES
reasoning, math, coding
RELEASE DATE
2025-03-16
FAMILY
exaone
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
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%
§ 01BENCHMARK SCORES
MMLU-PRO34.8
MATH47.5
IFEval81.4
BBH25.7
GPQA1.0
MUSR4.9
MATH-50094.8
§ 02RUN COMMAND

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

$ollama run exaone-deep:7.8b