Levelfamily
ClassLLM
Parametersnot in the notes
Contextnot in the notes
Released24 Oct 2024
Opennessunknown
Runs onnot in the notes
Statusactive
Lineage
5 members have no release date in the notes, so they are not on this timeline.
Llama 3.2 1B belongs to this familyedge LLM24 Oct 20241BLlama 3.2 3B belongs to this familyedge LLM24 Oct 2024Llama 3.2 1B quantized (QLoRA) belongs to this familyedge LLMLlama 3.2 1B quantized (SpinQuant) belongs to this familyedge LLMLlama 3.2 3B quantized (QLoRA) belongs to this familyedge LLMLlama 3.2 3B quantized (SpinQuant) belongs to this familyedge LLMLlama-3.2-1B-Instruct belongs to this familyLLMWhere 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.
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
- 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
- Llama 3.2 Community Licence 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
DeveloperMetabig tech, USA
Metabig tech, USAModelLlama 3.2Meta, LLM
Llama 3.2Meta, LLMUse CasesClinical LLM (Open Weights)HealthcareProcess Optimisation and Advanced Process ControlIndustrialTelecom Domain LLMs and BenchmarksTelecomUse 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 2026MIND IDResearch, 14 Oct 2025
Conch CementIn production, 23 Jun 2025
PT Kalbe Morinaga IndonesiaIn production, Oct 2024+2 moreDeployments of these use cases; none names this model.
PT Amman Mineral Nusa Tenggara (AMMAN)In production, 8 Jul 2026MIND IDResearch, 14 Oct 2025Conch CementIn production, 23 Jun 2025PT Kalbe Morinaga IndonesiaIn production, Oct 2024+2 moreDeployments of these use cases; none names this model.Models 7
Llama 3.2 1BMeta, edge LLMFamilyLlama 3.2 3BMeta, edge LLMFamilyLlama 3.2 1B quantized (QLoRA)Meta, edge LLMFamilyLlama 3.2 1B quantized (SpinQuant)Meta, edge LLMFamilyLlama 3.2 3B quantized (QLoRA)Meta, edge LLMFamilyLlama 3.2 3B quantized (SpinQuant)Meta, edge LLMFamilyLlama-3.2-1B-InstructMeta, LLMFamilyOrganisations 1
Sources
- Introducing quantized Llama models with increased speed and a reduced memory footprint ai.meta.com https://ai.meta.com/blog/meta-llama-quantized-lightweight-models/
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Llama 3.2", https://aurion.semai.id/models/meta-llama-3-2/, records of October 2026.