LLM
Llama-3.1-8B-Instruct
Most-derived base on HF: 3,257 finetunes, 2,954 adapters, 922 quantizations, 104 merges (2026-10-10).
Levelmodel
ClassLLM
Parametersnot in the notes
Contextnot in the notes
Released18 Jul 2024
Opennessunknown
Runs onnot in the notes
Statusactive
Benchmark Results
maintainer-run
SEA-HELMSoutheast Asian and Indonesian
Checkpoint Llama-3.1-8B-Instruct as listed; release view (data last updated 18 Sep 2026); score is the average of 2000 bootstrapsmaintainer-run
54.48 95% CI [-1.57, +1.56]
04080
Score in score. Higher is better.
SEA-HELM leaderboard, 58 models, Indonesian (ID)
Checkpoint Llama-3.1-8B-Instruct as listed; release view (data last updated 18 Sep 2026); score is the average of 2000 bootstrapsmaintainer-run
37.2 95% CI [-0.65, +0.67]
04080
Score in score. Higher is better.
SEA-HELM leaderboard, 58 models, SEA average
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).
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
- 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
- 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.
Lineage
The notes record no lineage for this model.
Industry Use Cases
No industry use case links this model.
Links
DeveloperMetabig tech, USA
Metabig tech, USAModelLlama-3.1-8B-InstructMeta, LLM
Llama-3.1-8B-InstructMeta, LLMUse CasesTelecom Domain LLMs and BenchmarksTelecomIndustrial Copilots and Maintenance AssistantsIndustrialClinical LLM (Open Weights)HealthcareProcess Optimisation and Advanced Process ControlIndustrial+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
PT Amman Mineral Nusa Tenggara (AMMAN)In production, 8 Jul 2026
Siemens Erlangen electronics factoryPlanned, 6 Jan 2026MIND IDResearch, 14 Oct 2025+16 moreDeployments of these use cases; none names this model.
PT Pertamina Geothermal EnergyIn production, 14 Jul 2026PT Amman Mineral Nusa Tenggara (AMMAN)In production, 8 Jul 2026Siemens Erlangen electronics factoryPlanned, 6 Jan 2026MIND IDResearch, 14 Oct 2025+16 moreDeployments of these use cases; none names this model.Organisations 1
Sources
- meta-llama/Llama-3.1-8B-Instruct , Hugging Face huggingface.co https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Llama-3.1-8B-Instruct", https://aurion.semai.id/models/meta-llama-3-1-8b-instruct/, records of October 2026.