exaone
2.4B parameters
Restricted
Reviewed May 2026

EXAONE 3.5 2.4B

LG AI's edge-tier EXAONE. Strong Korean / English. Research-only license.

License: EXAONE AI Model License·Released Dec 9, 2024·Context: 32,768 tokens

Overview

LG AI's edge-tier EXAONE. Strong Korean / English. Research-only license.

Family & lineage

How this model relates to others in its lineage. Family members share architecture and training-data roots; parent / children edges record direct distillation or fine-tune relationships.

Parent / base model
EXAONE 3.5 8B7.8B
Consumer
Family siblings (exaone-3.5)
EXAONE 3.5 2.4B2.4B
You are here
EXAONE 3.5 8B7.8B
Consumer
EXAONE 3.5 32B32B
Workstation

Strengths

  • Korean depth
  • Edge deployable

Weaknesses

  • Research license

Quantization variants

Each quantization trades model quality for file size and VRAM. Q4_K_M is the most popular starting point.

QuantizationFile sizeVRAM required
Q4_K_M1.6 GB3 GB

Get the model

HuggingFace

Original weights

huggingface.co/LGAI-EXAONE/EXAONE-3.5-2.4B-Instruct

Source repository — direct quantization required.

Hardware that runs this

Cards with enough VRAM for at least one quantization of EXAONE 3.5 2.4B.

NVIDIA GB200 NVL72
13824GB · nvidia
AMD Instinct MI355X
288GB · amd
AMD Instinct MI325X
256GB · amd
AMD Instinct MI300X
192GB · amd
NVIDIA B200
192GB · nvidia
NVIDIA H100 NVL
188GB · nvidia
NVIDIA H200
141GB · nvidia
Intel Gaudi 3
128GB · intel
Compare alternatives

Models worth comparing

Same parameter band, plus what's one tier above and below — so you can decide what actually fits your hardware.

Step down
Smaller — faster, runs on weaker hardware

Frequently asked

What's the minimum VRAM to run EXAONE 3.5 2.4B?

3GB of VRAM is enough to run EXAONE 3.5 2.4B at the Q4_K_M quantization (file size 1.6 GB). Higher-quality quantizations need more.

Can I use EXAONE 3.5 2.4B commercially?

EXAONE 3.5 2.4B is released under the EXAONE AI Model License, which has restrictions for commercial use. Review the license terms before using it in a product.

What's the context length of EXAONE 3.5 2.4B?

EXAONE 3.5 2.4B supports a context window of 32,768 tokens (about 33K).

Source: huggingface.co/LGAI-EXAONE/EXAONE-3.5-2.4B-Instruct

Reviewed by RunLocalAI Editorial. See our editorial policy for how we research and verify model claims.

Related — keep moving

Compare hardware
Buyer guides
When it doesn't work
Recommended hardware
Alternatives
EXAONE 3.5 8BEXAONE 3.5 32B
Before you buy

Verify EXAONE 3.5 2.4B runs on your specific hardware before committing money.

Will it run on my hardware? →Custom hardware comparison →GPU recommender (4 questions) →