LLM
KARAKURI LM 8x7B Instruct v0.1
Japanese mixture-of-experts chat model fine-tuned from Swallow-MX 8x7B for Japanese and English tasks including function calling.
Levelmodel
ClassLLM
Parameters46.7B
Contextnot in the notes
Released17 Jun 2024
Opennessopen weights permissive
Runs onnot in the notes
Statusactive
R&D Topics
Identity
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
- Total parameters
- 46.7B sources
- Active parameters
- –
- Checkpoint parameters
- –
- Note
- Parameter count from the safetensors index on Hugging Face.
- 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
- 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
- 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
- Japanese and English
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.
Lineage
The notes record no lineage for this model.
Industry Use Cases
No industry use case links this model.
Links
DeveloperKARAKURIstartup
KARAKURIstartupModelKARAKURI LM 8x7B Instruct v0.1KARAKURI, LLM
KARAKURI LM 8x7B Instruct v0.1KARAKURI, 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.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/karakuri-ai/karakuri-lm-8x7b-instruct-v0.1 https://huggingface.co/karakuri-ai/karakuri-lm-8x7b-instruct-v0.1
- docs.aws.amazon.com/bedrock/latest/userguide/bedrock-marketplace-... https://docs.aws.amazon.com/bedrock/latest/userguide/bedrock-marketplace-model-reference.html
- jumpstart-cache-prod-us-west-2.s3.us-west-2.amazonaws.com/models_manifest.json https://jumpstart-cache-prod-us-west-2.s3.us-west-2.amazonaws.com/models_manifest.json
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "KARAKURI LM 8x7B Instruct v0.1", https://aurion.semai.id/models/karakuri-karakuri-lm-8x7b-instruct-v0-1/, records of October 2026.