LLM
K-EXAONE 2.0
LG AI Research's 750B MoE text model, Apache 2.0 plus a stated ban on malicious use; reports a KGC-Safety score though it is not a guard model. Quants 3.
Levelmodel
ClassLLM
Parameters750B
Context262,144
Released5 Aug 2026
Opennessopen weights permissive
Runs onmulti-GPU node
Statusactive
Benchmark Results
vendor-reportedindependent
Artificial Analysis Intelligence Index v4.3.2composite index
asterisk on pageindependent
20
03060
Score in index. Higher is better.
AA leaderboard, 205 current models
GPQA Diamondknowledge and reasoning
vendor-reported
82.2
050100
Score in %. Higher is better.
KGC-Safetysafety
vendor-reported
99.8
050100
Score in %. Higher is better.
MMLU-Proknowledge and reasoning
vendor-reported
83.5
050100
Score in %. Higher is better.
SWE-bench Verifiedcoding
vendor-reported
68.2
050100
Score in %. Higher is better.
Where this comes from
Every score names who ran it: vendor-reported, maintainer-run or independent. A rank is shown with the population it was ranked in (gap rule 3).
Lineage
upcycle prune expand
K-EXAONE is the parent (upcycle prune expand)high confidencemodel cardWhere this comes from
Parent and child relations from model cards, Hugging Face base_model fields and the genealogy tables of the research notes. The tree shows two generations each way, 2 models. Confidence and evidence are the notes' own.
R&D Topics
Identity
- Developer
- LG AI Research
- Family
- not in the notes
- Released
- 5 Aug 2026 sourcesnotesunverified
- Weights published
- –
- Record checked
- 10 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.
Architecture and Size
- Architecture
- MoE MoE (256 experts, 8 active + 1 shared), mostly SWA with periodic global layers, MTP
- Total parameters
- 750B sources
- Active parameters
- 37B
- Checkpoint parameters
- –
- Context length
- 262,144 tokens
- Input
- text
- Output
- text
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).
Openness and Access
- Openness
- open weights permissive
- Licence
- Apache License 2.0 sources
- Access routes
- open weights download
Where this comes from
The licence file governs over registry tags and aggregator labels.
Deployment
- Runs on
- multi-GPU node
- Footprint
- NVFP4 variant listed at 411B
- Runtimes
- not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.
Indonesia
- Indonesian support
- not stated
- Regional languages
- not in the notes
- Jakarta hosting
- unknown
- Languages
- 10 languages; Indonesian not among them
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.
Industry Use Cases
No industry use case links this model.
Links
DeveloperLG AI Researchcompany, South Korea
LG AI Researchcompany, South KoreaModelK-EXAONE 2.0LG AI Research, LLM
K-EXAONE 2.0LG AI Research, LLMR&D TopicsEfficiency Architectures (MoE, Sparse Attention, Long Context)Frontier Pretraining ScalingOpen-Weight Frontier Releases as Research SubstrateRegional or National Foundation Model Training (Continued Pretraining at 7B to 70B)
Use CasesIndustrial Copilots and Maintenance AssistantsIndustrialIndonesian and Regional-Language LLMsPublic SectorClinical LLM (Frontier Proprietary)HealthcarePharma Documents, Regulatory and Life-Science R&DHealthcare+9 moreUse cases of models in the same R&D topic; none is recorded for this model itself.
Who Runs It
PT Pertamina Geothermal EnergyIn production, 14 Jul 2026
PT Amman Mineral Nusa Tenggara (AMMAN)In production, 8 Jul 2026
PT PegadaianIn production, 5 Jun 2026
Bank Central Asia (BCA)In production, 16 Mar 2026+57 moreDeployments of these use cases; none names this model.
PT Pertamina Geothermal EnergyIn production, 14 Jul 2026PT Amman Mineral Nusa Tenggara (AMMAN)In production, 8 Jul 2026PT PegadaianIn production, 5 Jun 2026Bank Central Asia (BCA)In production, 16 Mar 2026+57 moreDeployments of these use cases; none names this model.Organisations 1
R&D topics 4
Open-Weight Frontier Releases as Research SubstrateUsing released weights as the base for downstream research.used byFrontier Pretraining ScalingTraining a new base model at or near the top-5 compute of its release date (Epoch's front…produced byEfficiency Architectures (MoE, Sparse Attention, Long Context)Reducing training and inference cost per capability.produced byRegional or National Foundation Model Training (Continued Pretraining at 7B to 70B)Pretraining or continued pretraining a mid-size model to serve a national or regional lan…produced by
Sources
- LLM Leaderboard - Comparison of AI models from OpenAI, Anthropic, Google, SpaceXAI & others | Artificial Analysis artificialanalysis.ai https://artificialanalysis.ai/leaderboards/models
- huggingface.co/LGAI-EXAONE/K-EXAONE-2.0-750B-A37B https://huggingface.co/LGAI-EXAONE/K-EXAONE-2.0-750B-A37B
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "K-EXAONE 2.0", https://aurion.semai.id/models/lg-ai-research-k-exaone-2-0/, records of October 2026.