LLMfamily
LLM-jp-4.1
NII LLM-jp's 4.1 dense and MoE models; LLM-jp historically releases its corpora too (not checked for 4.1).
Levelfamily
ClassLLM
Parametersnot in the notes
Contextnot in the notes
Released4 Oct 2026
Opennessunknown
Runs onnot in the notes
Statusactive
Lineage
LLM-jp-4.1 32B-A3B belongs to this familyLLM4 Oct 202632BLLM-jp-4.1 33B belongs to this familyLLM4 Oct 202633BLLM-jp-4.1 8B thinking belongs to this familyLLM4 Oct 20268BWhere this comes from
Parent and child relations from model cards, Hugging Face base_model fields and the genealogy tables of the research notes. Confidence and evidence are the notes' own.
R&D Topics
Identity
- Developer
- NII LLM-jp
- Family
- not in the notes
- Released
- 4 Oct 2026 sourcesregistry date
- 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
- not in the notes
- Total parameters
- – sources
- Active parameters
- –
- Checkpoint parameters
- –
- Context length
- not in the notes
- 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
- unknown
- Licence
- not in the notes sources
- Access routes
- not in the notes
Where this comes from
The licence file governs over registry tags and aggregator labels.
Deployment
- Runs on
- not in the notes
- Footprint
- not in the notes
- 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
- not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.
Benchmark Results
The notes record no benchmark result for this model.
Industry Use Cases
No industry use case links this model.
Links
DeveloperNII LLM-jpnational lab, Japan
NII LLM-jpnational lab, JapanModelLLM-jp-4.1NII LLM-jp, LLM
LLM-jp-4.1NII LLM-jp, LLMR&D TopicsEfficiency Architectures (MoE, Sparse Attention, Long Context)Regional or National Foundation Model Training (Continued Pretraining at 7B to 70B)
Use CasesIndonesian and Regional-Language LLMsPublic SectorBanking Customer Service AssistantsFinanceCitizen Service AssistantsPublic SectorSuper-App Voice AssistantRetail and LogisticsUse cases of models in the same R&D topic; none is recorded for this model itself.
Who Runs It
PT PegadaianIn production, 5 Jun 2026
Bank Central Asia (BCA)In production, 16 Mar 2026Bank Central Asia (BCA)In production, 16 Mar 2026
Pemerintah Provinsi DKI Jakarta (Jakarta Utara pilot)Pilot, Aug 2025+8 moreDeployments of these use cases; none names this model.
PT PegadaianIn production, 5 Jun 2026Bank Central Asia (BCA)In production, 16 Mar 2026Bank Central Asia (BCA)In production, 16 Mar 2026Pemerintah Provinsi DKI Jakarta (Jakarta Utara pilot)Pilot, Aug 2025+8 moreDeployments of these use cases; none names this model.Models 3
Organisations 1
R&D topics 2
Efficiency 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
- huggingface.co/llm-jp https://huggingface.co/llm-jp
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "LLM-Jp-4.1", https://aurion.semai.id/models/nii-llm-jp-llm-jp-4-1/, records of October 2026.