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K-EXAONE 236B-A23B: Specs, GPU Requirements and License

K-EXAONE 236B-A23B is a recent General release in the EXAONE family, certified from its immutable official source revision.

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Technical deployment reference illustration for K-EXAONE 236B-A23B
Reference deployment flow; exact architecture facts are listed separately.
Total parameters236.0B
Active parameters23.0B
Context window262,144 tokens
Release statusRecent · Recent
ArchitectureExaoneMoeForCausalLM
ModalitiesText
Licenseother
Deployment stateReference only
Commercial stateUnknown / Not Recommendable
Release date2025-12-26

Architecture, strengths and use cases

K-EXAONE 236B-A23B is an official self-hostable LG AI Research release in the EXAONE General track. It uses ExaoneMoeForCausalLM, carries 236B / 23B MoE, supports a verified context window of 262,144 tokens, and exposes only source-certified checkpoints and runtime combinations. Its release, license and deployment facts are tied to the official repository revision rather than inferred from the family name.

K-EXAONE 236B-A23B uses ExaoneMoeForCausalLM with 236B / 23B MoE. The stored architecture profile records 48 layers, hidden width 6144, 64 attention heads and a 262,144 token context ceiling where the official configuration publishes those fields.

Verified ExaoneMoeForCausalLM architecture
262,144 token certified context
Official BF16, FP8 checkpoint coverage
Private LLM inference
Agentic workflows
Long-context document processing

Certified checkpoints and quantizations

Only exact, source-certified variants attached to this release are shown.

Recommended hardware

Use only the listed certified runtime configuration with the exact checkpoint precision. The recommendation engine checks weight memory, KV cache, runtime overhead, safety headroom, GPU architecture and topology before ranking rentable and reference hardware.

Reference only

Commercial rights are not verified, so this release is not commercially recommendable.

License and self-hosting considerations

The full 236B resident weight set must fit across the selected GPUs. Context and concurrency add KV-cache memory; MoE active parameters do not replace resident-weight memory.

K-EXAONE 236B-A23B is published under other. The release-scoped official license link and verification date are retained with the catalogue record.

Unknown / Not Recommendable. Commercial rights are not verified, so this release is not commercially recommendable.

Alternatives and sibling variants

K-EXAONE 2.0 750B-A37B, K-EXAONE-2.0-750B-A37B-FP8, K-EXAONE-2.0-750B-A37B-NVFP4

Release timeline

lg-ai-research/exaone/k-exaone-236b-a23b

Source details

Official source

Source revision: e0467fb988508a8a375111f9ae6a203d20022d40d76130a4ca56d826552365a1

Frequently asked questions

How much VRAM does K-EXAONE 236B-A23B require?

The exact estimate depends on checkpoint precision, context and concurrency; the page recommendation uses the certified memory engine and compatible runtime configurations.

Which runtimes support K-EXAONE 236B-A23B?

No runtime is presented as supported until upstream evidence is verified.

Can K-EXAONE 236B-A23B be used commercially?

The stored commercial classification is Unknown / Not Recommendable. Consult the official other terms for the final obligations.

Official references

Last verified: 2026-09-03