
LLMfamily
DeepSeek-V2
DeepSeek-V2 is the DeepSeek series of Mixture-of-Experts language models, including V2.5.
Levelfamily
ClassLLM
Parametersnot in the notes
Contextnot in the notes
Released7 May 2024
Opennessunknown
Runs onnot in the notes
Statusnot in the notes
Benchmark Results
vendor-reported
LiveCodeBenchcoding
DeepSeek-V2.5 (Dec 2024, DeepSeek-V2.5-1210)2024-08-01 to 2024-12-01 window; up from 29.2vendor-reported
34.38
050100
Score in %. Higher is better.
DeepSeek-V2.5-1210 model card
MATH500math
82.8
050100
Score in %. Higher is better.
DeepSeek-V2.5-1210 model card
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
instruct ofcontinued pretrain
DeepSeek-Coder-V2-Base is a child (continued pretrain)high confidencemodel card
DeepSeek-V2.5 (Dec 2024, DeepSeek-V2.5-1210) belongs to this familyLLM10 Dec 2024236B
DeepSeek-V2.5 belongs to this familyLLM5 Sep 2024Where 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
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
- not in the notes
- Output
- not in the notes
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.
Industry Use Cases
No industry use case links this model.
Links
Developer
DeepSeekstartup, China
DeepSeekstartup, ChinaModel
DeepSeek-V2DeepSeek, LLM
DeepSeek-V2DeepSeek, LLMR&D TopicsEfficiency Architectures (MoE, Sparse Attention, Long Context)Open-Weight Frontier Releases as Research Substrate
Use 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 2025
Conch CementIn production, 23 Jun 2025
PT Kalbe Morinaga IndonesiaIn production, Oct 2024+2 moreDeployments of these use cases; none names this model.Models 3
Organisations 1
Sources
- huggingface.co/deepseek-ai/DeepSeek-V2.5-1210 https://huggingface.co/deepseek-ai/DeepSeek-V2.5-1210
- arxiv.org/abs/2405.04434 https://arxiv.org/abs/2405.04434
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "DeepSeek-V2", https://aurion.semai.id/models/deepseek-deepseek-v2/, records of October 2026.