Get the sizing right
DeepSeek-V3 was trained and released natively in FP8 (E4M3). At one byte per parameter, 671B parameters is roughly 671 GB on disk — the Hugging Face repo reports ~685B parameters including the multi-token-prediction module, hence the ~685 GB figures you'll see. The number people most often get wrong is the precision label: 671 GB is the FP8 footprint. If you actually wanted BF16 weights, that's two bytes per parameter — about 1.3 TB. Halving FP8 to "336 GB" or calling FP8 "FP16" are both off by a factor of two; the registry and this post use the FP8-native figure.
What the tiers mean
A blog that only announces good news is propaganda. The value of the catalog is that the tier reflects evidence, not enthusiasm:
- Quarantine — newly ingested: present, hashed, logged, but not yet independently vouched for. Pull it for research; tier-gated production policies won't route to it.
- Hardened — corroborated by independent witnesses and reproducible checks. DeepSeek-V3 sits here.
- Sealed — promoted by a witness-cosign threshold and anchored in the transparency log; the bar for a canonical release.
You don't have to trust our label. Open the live artifact page for its current tier and provenance, or verify any page at /verify.
Sources
- Model card & weights — huggingface.co/deepseek-ai/DeepSeek-V3
- DeepSeek-V3 technical report (arXiv:2412.19437)