canirunaimodel
EXAONE 4.0 32B
EXAONE AILG AI · 32B · Dense
Hybrid reasoning, multilingual
16.3K downloads
278 likes
2025-07 128K context
Use Cases
chat reasoning
| Quant | Bits | VRAM | Quality | Status |
|---|---|---|---|---|
| Q2_K | 2 | 10.7 GB | low | — |
| Q3_K_M | 3 | 14.8 GB | moderate | — |
| Q4_K_M | 4 | 16.9 GB | good | — |
| Q5_K_M | 5 | 21 GB | good | — |
| Q6_K | 6 | 25.1 GB | excellent | — |
| Q8_0 | 8 | 33.3 GB | excellent | — |
| F16 | 16 | 66.1 GB | lossless | — |
About this model
HF model card
EXAONE
LG AI
32B
Dense model for chat, reasoning workloads.
Context
128K
Q4 VRAM
~16.9 GB
Dense
EXAONE 4.0 32B on your hardware
Hybrid reasoning, multilingual. This page turns the Hugging Face model card into practical local-run numbers, so you can compare quantized VRAM, system RAM, and expected fit before downloading a large checkpoint.
Model shape
32B total parameters. Dense models use the whole network for each token.
Local fit target
Start with Q4_K_M: about 15.6 GB on disk and 16.9 GB VRAM before extra context and runtime overhead.
Best use cases
chat, reasoning
License and source
Listed as EXAONE AI from huggingface.co/LGAI-EXAONE/EXAONE-4.0-32B.
Want the real verdict? Pick your GPU or edit the specs on this page and compare the quant table below.
Open HF repo