LG AI/Dense

LEXAONE-4.0-1.2B

chat
1.3B
Parameters
64K
Context length
10
Benchmarks
6
Quantizations
40K
HF downloads
Architecture
Dense
Released
2025-07-11
Layers
30
KV Heads
8
Head Dim
64
Family
exaone

Quantization Options

QuantBitsVRAMQuality
Q4_K_M4.891.3 GBgood
Q5_K_S5.571.4 GBgood
Q5_K_M5.71.4 GBgood
Q6_K6.561.6 GBexcellent
Q8_08.51.9 GBlossless
FP16163.1 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-4.0-1.2B NOW

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

Community Ratings

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Benchmarks (10)

GPQA Diamond42.4
LiveCodeBench29.3
IFBench25.3
AIME24.0
AA Math24.0
τ²-Bench20.5
AA Intelligence8.1
SciCode7.4
HLE5.8
AA Coding2.5

Run this model

Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run exaone:1b-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 Tesla C870
2 GB VRAM • 76.8 GB/s
NVIDIA
NVIDIA Tesla D870
2 GB VRAM • 76.8 GB/s
NVIDIA
NVIDIA Tesla S870
2 GB VRAM • 76.8 GB/s
NVIDIA

Find the best GPU for EXAONE-4.0-1.2B

Build Hardware for EXAONE-4.0-1.2B
▸ SPEC SHEET

EXAONE-4.0-1.2B1.3B Dense.

▸ SPECIFICATIONS
PARAMETERS
1.3B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
64K tokens
CAPABILITIES
chat
RELEASE DATE
2025-07-11
PROVIDER
LG AI
FAMILY
exaone
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q4_K_M4.891.3 GB94%
Q5_K_S5.571.4 GB96%
Q5_K_M5.71.4 GB96%
Q6_K6.561.6 GB97%
Q8_08.51.9 GB100%
FP16163.1 GB100%
§ 01BENCHMARK SCORES
aa_ifbench25.3
aa_tau220.5
aa_scicode7.4
LiveCodeBench29.3
AIME24.0
GPQA Diamond42.4
HLE5.8
AA Intelligence8.1
AA Coding2.5
AA Math24.0
§ 02RUN COMMAND

Run EXAONE-4.0-1.2B locally with Ollama — needs 1.3 GB VRAM at Q4_K_M:

$ollama run exaone:1b