multimodal LLM
SmolVLM Instruct
SmolVLM Instruct, a checkpoint of the SmolVLM family. Small open vision language models (256M to 2.2B) for images and video that run on laptops and phones.
Levelvariant
Classmultimodal LLM
Parameters2.25B
Contextnot in the notes
Released18 Nov 2024
Opennessopen weights permissive
Runs onnot in the notes
Statusactive
Lineage
finetune
SmolVLM2 2.2B Instruct is a child (finetune)high confidenceHugging Face base_modelWhere 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.
Identity
- Developer
- Hugging Face
- Family
- SmolVLM
- Released
- 18 Nov 2024 sourcesregistry date
- Weights published
- –
- Record checked
- 12 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
- dense transformer
- Total parameters
- 2.25B sources
- Active parameters
- –
- Checkpoint parameters
- –
- Note
- Parameter count from the safetensors index on Hugging Face.
- Context length
- not in the notes
- Input
- text, image
- 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
- Model card languages: en
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
DeveloperHugging Facestartup, USA / France
Hugging Facestartup, USA / FranceModelSmolVLM InstructHugging Face, multimodal LLM
SmolVLM InstructHugging Face, multimodal LLMUse CasesIndustrial Copilots and Maintenance AssistantsIndustrialIndonesian and Regional-Language LLMsPublic SectorTelecom Domain LLMs and BenchmarksTelecomRobot Inspection with Instrument ReadingIndustrial+1 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
Siemens Erlangen electronics factoryPlanned, 6 Jan 2026
ADNOC OffshoreIn production, 9 Sep 2025
Aker BPIn production, 9 Sep 2025+10 moreDeployments of these use cases; none names this model.
PT Pertamina Geothermal EnergyIn production, 14 Jul 2026Siemens Erlangen electronics factoryPlanned, 6 Jan 2026ADNOC OffshoreIn production, 9 Sep 2025Aker BPIn production, 9 Sep 2025+10 moreDeployments of these use cases; none names this model.Models 2
Organisations 1
Sources
- huggingface.co/HuggingFaceTB/SmolVLM-Instruct https://huggingface.co/HuggingFaceTB/SmolVLM-Instruct
- replicate.com/lucataco/smolvlm-instruct https://replicate.com/lucataco/smolvlm-instruct
- docs.roboflow.com/models/supported-models/smolvlm2.md https://docs.roboflow.com/models/supported-models/smolvlm2.md
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "SmolVLM Instruct", https://aurion.semai.id/models/hugging-face-smolvlm-instruct/, records of October 2026.