K-EXAONE-236B-A23B-GGUF
LGAI-EXAONE/K-EXAONE-236B-A23B-GGUF
Official · GGUF · gguf
| Precision / quantization | Format | Bits | Publisher trust | Deployment state |
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EXAONE · General · k-exaone-236b-a23b
K-EXAONE-236B-A23B-GGUF: Specs, GPU Requirements and License
K-EXAONE-236B-A23B-GGUF is a recent General release in the EXAONE family, certified from its immutable official source revision.
Reference only
Compare this model
Total parametersThe manufacturer has not published this information.
Active parametersDense model
Context windowN/A / Not directly comparable
Release statusRecent · Recent
Architecture
ModalitiesText
Licenseother
Deployment stateReference only
Commercial stateUnknown / Not Recommendable
Release date
Architecture, strengths and use cases
K-EXAONE-236B-A23B-GGUF is an official self-hostable LG AI Research release in the EXAONE General track. It uses The manufacturer has not published this information., carries The manufacturer has not published this information., supports a verified context window of 0 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-GGUF uses The manufacturer has not published this information. with The manufacturer has not published this information.. The stored architecture profile records layers, hidden width , attention heads and a 0 token context ceiling where the official configuration publishes those fields.
Verified The manufacturer has not published this information. architecture
Official checkpoint and pipeline evidence
Official GGUF 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 0B 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-GGUF 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-FP8, K-EXAONE-2.0-750B-A37B-NVFP4, K-EXAONE-236B-A23B-FP8, K-EXAONE 2.0 750B-A37B, K-EXAONE 236B-A23B
Release timeline
lg-ai-research/exaone/k-exaone-236b-a23b-gguf
Source details
Source revision: c3a1a400f0deaee97a415c756cfbfef827a1618796caca47c48ad9b3e591ecb0
Frequently asked questions
How much VRAM does K-EXAONE-236B-A23B-GGUF 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-GGUF?
No runtime is presented as supported until upstream evidence is verified.
Can K-EXAONE-236B-A23B-GGUF 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