LGAI-EXAONE
EXAONE 4.0 32B
Limited data available — some specs may be incomplete or estimated.
0K tokensContextUnknownLicense4 EntryQuality
EXAONE 4.0 32B (32B parameters) requires approximately 25.1 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 29 GB of VRAM.
Quick specs
Parameters32B
Architecturedense
Context0K tokens
Modalitytext
Min RAM12.5 GB
Rec. RAM19.5 GB (Q4_K_M)
LicenseUnknown
FamilyUnknown
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Best budgetC
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Run this model
Quantization options
VRAM estimates by quant level
No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 12.5 GB | Low | — |
Q3_K_S | 3 | 15.7 GB | Low | — |
NVFP4 | 4 | 17.9 GB | Medium | — |
Q4_K_M | 4 | 19.5 GB | Medium | — |
Q5_K_M | 5 | 23.0 GB | High | — |
Q6_K | 6 | 26.2 GB | High | — |
Q8_0 | 8 | 34.2 GB | Very High | — |
F16 | 16 | 65.6 GB | Maximum | — |
Hardware compatibility
Fit estimates across all hardware
Computing compatibility...
Memory breakdown
Reference: RTX 2060 6GB
Weights19.5 GB
KV Cache3.8 GB
Runtime1.2 GB
Headroom0.6 GB
Frequently asked questions
FAQ — EXAONE 4.0 32B
See also