Project AURIONAI Use-Cases Research & Innovation
LLM

Qwen3-Swallow

Swallow models built on Qwen3 bases; licence inherited from base.

Institute of Science TokyoInstitute of Science TokyoJapan
Institute of Science Tokyo
Levelmodel
ClassLLM
Parametersnot in the notes
Contextnot in the notes
Released2026
Opennessunknown
Runs onnot in the notes
Statusactive

Lineage

finetunecontinued pretrain
Qwen3 to Qwen3-ASR: finetune, low confidenceQwen3 to Qwen3-Embedding-0.6B: finetune, medium confidenceQwen3 to Qwen3-Embedding-4B: finetune, medium confidenceQwen3 to Qwen3-Embedding-8B: finetune, medium confidenceQwen3 to Qwen3-Reranker-0.6B: finetune, medium confidenceQwen3 to Qwen3-Reranker-4B: finetune, medium confidenceQwen3 to Qwen3-Reranker-8B: finetune, medium confidenceQwen3 to Qwen3-VL-Embedding-2B: finetune, medium confidenceQwen3 to Qwen3-VL-Embedding-8B: finetune, medium confidenceQwen3 to Qwen3-Swallow: continued pretrain, medium confidenceQwen3Qwen3Alibaba (Qwen), Apr 2025Qwen3-Embedding-0.6BQwen3-Embedding-0.6BAlibaba (Qwen), Jun 2025Qwen3-Embedding-4BQwen3-Embedding-4BAlibaba (Qwen), Jun 2025Qwen3-Embedding-8BQwen3-Embedding-8BAlibaba (Qwen), Jun 2025Qwen3-Reranker-0.6BQwen3-Reranker-0.6BAlibaba (Qwen), Jun 2025Qwen3-Reranker-4BQwen3-Reranker-4BAlibaba (Qwen), Jun 2025Qwen3-Reranker-8BQwen3-Reranker-8BAlibaba (Qwen), Jun 2025Qwen3-SwallowQwen3-SwallowInstitute of Science Tokyo, 2026Qwen3-ASRQwen3-ASRAlibaba (Qwen), Jan 2026Qwen3-VL-Embedding-2BQwen3-VL-Embedding-2BAlibaba (Qwen), Apr 2026Qwen3-VL-Embedding-8BQwen3-VL-Embedding-8BAlibaba (Qwen), Apr 2026
Alibaba (Qwen)Qwen3 is the parent (continued pretrain)medium confidencenotes
Where 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, 11 models. Confidence and evidence are the notes' own.

R&D Topics

Regional or national foundation model training (continued pretraining at 7B to 70B)produced by

Identity

Developer
Institute of Science Tokyo
Family
not in the notes
Released
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
–
Note
Swallow line spans 8B to 120B
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.

Sources

  1. tokyotech-llm (tokyotech-llm) huggingface.co https://huggingface.co/tokyotech-llm

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Qwen3-Swallow", https://aurion.semai.id/models/institute-of-science-tokyo-qwen3-swallow/, records of October 2026.