LG AI
EXAONE 3.5 2.4B
Compact model from LG. Optimized for Korean and English.
2.4B parametersexaoneother32K context2GB - 3.1GB VRAM
Check Your Hardware
See which quantizations of EXAONE 3.5 2.4B your hardware can run.
Quantization Options
| Quantization | Bits | File Size | VRAM Needed | RAM Needed | Quality |
|---|---|---|---|---|---|
| Q4_K_M | 4.5 | 1.6 GB | 2 GB | 3 GB | 85% |
| Q8_0 | 8 | 2.6 GB | 3.1 GB | 4.5 GB | 98% |
See It In Action
Real model outputs generated via RunThisModel.com — watch responses stream in real time.
Llama 3.3 70B responding...
Outputs generated by real AI models via RunThisModel.com. Generation speed shown is from cloud inference. Local speeds vary by hardware — check your device.
Frequently Asked Questions
How much VRAM do I need to run EXAONE 3.5 2.4B?
EXAONE 3.5 2.4B requires 2GB VRAM minimum with Q4_K_M quantization. For full precision, you need 3.1GB VRAM.
What is the best quantization for EXAONE 3.5 2.4B?
Q4_K_M offers the best balance of quality and VRAM usage. Q8_0 is near-lossless if you have enough VRAM.