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Support · DeepSeek-V3

Will it last?

Ownership levelPartialnone·limited·partial·substantial·fullAnalytical input C ยท 64.4/100

This page is a projection of the one entry record, the Transparency factor that Support covers. The full verdict is set by all four factors together, floor-weighted so the weakest caps the whole.

Which domain expands which factor
  • AssessUse & modify + Transparency
  • ImplementData control + Reliability
  • UseReliability
  • SupportTransparency

Common problems & fixes

The recurring issues are multi-node OOM / sharding for the 671B model, Base-vs-Chat variant confusion (deploying the un-tuned Base by mistake), and quant-engine version mismatches on lower-bit builds. This list is not exhaustive - the large community ecosystem is the practical first stop for deployment questions.

Versions, changelog & cadence

The original December-2024 V3 (Base + Chat) is published on the verified deepseek-ai organisation. For new work it is effectively superseded by the MIT V3-0324/V3.1 generations (deepseek-v3-mit), which carry a cleaner licence. The Hugging Face revision hash is the changelog anchor.

Security / vulnerability disclosure

No formal published vulnerability-disclosure or security policy was found for DeepSeek-V3; the only contact is the general deepseek-ai org presence. Recorded as a gap - factor it into your own incident-response plan.

Community & support channels

The deepseek-ai Hugging Face organisation and GitHub are the primary channels for usage and deployment questions, backed by a large third-party community.

Deprecation / end-of-life policy

No published deprecation or end-of-life policy. The original V3 remains downloadable but is effectively superseded by the MIT generations, with no documented sunset commitment - recorded as a gap.

Tracked known issues

The standing issues are the use-restricted licence (relative to the MIT generations), China-aligned censorship on sensitive topics, lighter safety coverage with no first-party guard model, and the operational burden of a 671B model. See Assess for the detail.

How this scores

The ownership factor this domain covers, drawn from the one entry record.

2

TransparencyDo you know what it is: weights, training, behaviour, and legible terms?

Moderate

Weights are inspectable and there is a detailed technical report, but the training data and code are closed, and the weights carry China-aligned topic filtering you cannot inspect - open_weights, so moderate.

How this scores (AOI sub-dimensions)
Provenance3/5how well we can trace and verify what went into the modelVerified deepseek-ai org on Hugging Face, safetensors distribution with checksums and a clear canonical source with no malicious-checkpoint incident (checklist ~5/8).
Governance3/5how accountable and well-documented the publisher isActive, named publisher (DeepSeek) with a verified org and a track record of technical reports, meeting the score-3 anchor.
What this means for adoptionYou partially own self-hosted original DeepSeek-V3: self-hosting keeps your data yours under an irrevocable grant (data-control strong, reliability strong), but the DeepSeek License Agreement imposes RAIL-style field-of-use restrictions that flow down to derivatives, holding use-and-modify to moderate - so ownership is partial, one step below the MIT V3 generations (deepseek-v3-mit), which reach substantial. For new work prefer the MIT generations unless you specifically need this checkpoint; where you do use it, honour the use restrictions, deploy behind your own guardrails, and treat EU high-stakes use as needing a self-assembled compliance package (with no open-source exemption on the licence axis).

Sources

The same evidence records as the entry sheet. Read means the text was verified; unverified means it is known to exist but not yet read.

Licenceread2026-08-03
DeepSeek-V3 LICENSE-CODE / LICENSE-MODEL, read: "This code repository is licensed under the MIT License.
Model cardread2026-08-03
DeepSeek-V3 model card on the verified deepseek-ai HF org: 671B total / 37B active MoE, 128K context, safetensors, Base + Chat variants; first-class serving (vLLM, SGLang, llama.cpp, Ollama) and an extensive community quant ecosystem.
Third-party analysisunverified2026-08-03
On independent public leaderboards the original DeepSeek-V3 was competitive among large open-weight models at release (coding, maths, analysis); not OneHill-reproduced this session.
Third-party analysisunverified2026-08-03
Independent analysis notes DeepSeek open-weight models apply China-aligned content filtering on politically sensitive topics, with lighter safety tuning than Western frontier labs and no companion guard model.
Third-party analysisunverified2026-08-03
The DeepSeek License Agreement imposes field-of-use restrictions (non-FOSS), and no public EU AI Act training-content summary, copyright policy, or GPAI documentation package is published for DeepSeek-V3; the training corpus is not released.