multimodal LLM
Qwen3.6-27B
Alibaba's 27B dense model; base of Qwen-SEA-LION v4.5. Adapters 555, finetunes 411, merges 24, quants 743.
Levelmodel
Classmultimodal LLM
Parameters27B
Context262,144
ReleasedApr 2026
Opennessopen weights permissive
Runs onconsumer GPU
Statusactive
Benchmark Results
vendor-reportedmaintainer-run
MMLU-Proknowledge and reasoning
vendor-reported
86.2
050100
Score in %. Higher is better.
SEA-HELMSoutheast Asian and Indonesian
Indonesianmaintainer-run
77.96 95% CI [-1.22, +1.20]
04080
Score in index. Higher is better.
rank 2, SEA-HELM Indonesian
maintainer-run
77.96 95% CI [-1.22, +1.20]
04080
Score in score. Higher is better.
rank 2, SEA-HELM Indonesian, open-weight models, average of 2,000 bootstraps
maintainer-run
74.64 95% CI [-0.65, +0.60]
04080
Score in score. Higher is better.
SEA-HELM SEA average, open-weight models
SWE-bench Verifiedcoding
vendor-reported
77.2
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
distillfinetune
Qwen-SEA-LION-v4.5-27B-IT is a child (distill)high confidencemodel cardQwen-SEA-LION-v4.5-27B-IT is a child (finetune)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, 3 models. Confidence and evidence are the notes' own.
R&D Topics
Identity
- Developer
- Alibaba (Qwen)
- Family
- Qwen3.6
- Released
- Apr 2026 sourcesnotes
- 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
- hybrid Gated DeltaNet + Gated Attention, dense
- Total parameters
- 27B sources
- Active parameters
- –
- Checkpoint parameters
- –
- Note
- 1.01M with YaRN
- Context length
- 262,144 tokens
- Input
- text, image, video
- 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
- consumer GPU
- 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
- measured on a benchmark
- SEA-HELM Indonesian leaderboard (ID aggregate, first score column of the Indonesian Competency and Task Scores table): 77.96 (95% CI -1.22 to +1.20), run by AI Singapore (SEA-HELM leaderboard maintainer) leaderboard.sea-lion.ai
- 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.
Industry Use Cases
No industry use case links this model.
Links
DeveloperAlibaba (Qwen)big tech, China
Alibaba (Qwen)big tech, ChinaModelQwen3.6-27BAlibaba (Qwen), multimodal LLM
Qwen3.6-27BAlibaba (Qwen), multimodal LLMR&D TopicsLow-Resource and Regional Language ResourcesOpen-Weight Frontier Releases as Research SubstrateRegional or National Foundation Model Training (Continued Pretraining at 7B to 70B)
Use CasesIndonesian and Regional-Language LLMsPublic SectorIndonesian NLU (Classification, NER)Public SectorBanking Customer Service AssistantsFinanceCitizen Service AssistantsPublic Sector+8 moreUse cases of models in the same R&D topic; none is recorded for this model itself.
Who Runs It
PT Amman Mineral Nusa Tenggara (AMMAN)In production, 8 Jul 2026
PT Bank Tabungan Negara (BTN)In production, 1 Jul 2026
PT PegadaianIn production, 5 Jun 2026
Bank Central Asia (BCA)In production, 16 Mar 2026+19 moreDeployments of these use cases; none names this model.
PT Amman Mineral Nusa Tenggara (AMMAN)In production, 8 Jul 2026PT Bank Tabungan Negara (BTN)In production, 1 Jul 2026PT PegadaianIn production, 5 Jun 2026Bank Central Asia (BCA)In production, 16 Mar 2026+19 moreDeployments of these use cases; none names this model.Organisations 1
R&D topics 3
Open-Weight Frontier Releases as Research SubstrateUsing released weights as the base for downstream research.used 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…used byLow-Resource and Regional Language ResourcesDatasets, benchmarks and adaptation for under-served languages.used by
Sources
- Qwen/Qwen3.6-27B , Hugging Face huggingface.co https://huggingface.co/Qwen/Qwen3.6-27B
- SEA-HELM Leaderboard leaderboard.sea-lion.ai/detailed/SEA https://leaderboard.sea-lion.ai/detailed/SEA
- SEA-HELM Leaderboard leaderboard.sea-lion.ai/detailed/ID https://leaderboard.sea-lion.ai/detailed/ID
- aisingapore/Qwen-SEA-LION-v4.5-27B-IT , Hugging Face huggingface.co https://huggingface.co/aisingapore/Qwen-SEA-LION-v4.5-27B-IT
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Qwen3.6-27B", https://aurion.semai.id/models/alibaba-qwen3-6-27b/, records of October 2026.