deepseek-ai/DeepSeek-V3.2-Speciale: what it needs to run
deepseek-ai/DeepSeek-V3.2-Speciale is a fine-tune of deepseek-ai/DeepSeek-V3.2-Exp-Base. Its configuration matches DeepSeek-V3.2-Exp's on every field that decides memory, so DeepSeek-V3.2-Exp's requirements are this repository's.
Answered by
Geometrypublished data. Both configurations are published files, read at the revisions named below and compared field by field. Not a test that the model loads.DeepSeek-V3.2-Exp (deepseek-ai/DeepSeek-V3.2-Exp) — every compared field is stated by both and equal.
Before you use those figures
- The declared base is deepseek-ai/DeepSeek-V3.2-Exp-Base; the catalogue holds its sibling deepseek-ai/DeepSeek-V3.2-Exp, which is the same architecture.
DeepSeek-V3.2-Exp: weight-file size by format
| Format | Size | Range | Basis |
|---|---|---|---|
| FP16 | 1371.4 GB | 959.6 GB – 1384.5 GB | size range |
| Q8_0 | 728.8 GB | 509.8 GB – 737.3 GB | size range |
| Q6_K | 562.9 GB | 393.6 GB – 570.1 GB | size range |
| Q5_K_M | 489.6 GB | 329.8 GB – 570.1 GB | size range |
| Q5_0 | 478.3 GB | 329.8 GB – 570.1 GB | size range |
| Q4_K_M | 420.7 GB | 269.9 GB – 570.1 GB | size range |
| Q4_0 | 398.8 GB | 269.9 GB – 570.1 GB | size range |
| Q3_K_M | 342.8 GB | 206.2 GB – 570.1 GB | size range |
| Q2_K | 271.4 GB | 157.4 GB – 570.1 GB | size range |
These are DeepSeek-V3.2-Exp’s sizes. A model with the same geometry quantizes to the same size, to within any difference in parameter count noted above. Which devices hold each, and how fast they run it, is on DeepSeek-V3.2-Exp’s page.
What was read, and where
- deepseek-ai/DeepSeek-V3.2-Speciale at revision c562883eda91 is tagged by its publisher as a fine-tune of deepseek-ai/DeepSeek-V3.2-Exp-Base.
- deepseek-ai/DeepSeek-V3.2-Speciale/config.json at c562883eda91 was compared with deepseek-ai/DeepSeek-V3.2-Exp/config.json at 194c67e12b1b, the revision the catalogue pins: layers and their pattern, widths, head counts, experts, latent and recurrent dimensions, vocabulary, tied embeddings and any vision or audio tower.
- Licence, as tagged
- mit
- Parameters in its safetensors index
- 685B
- Task, as tagged
- text-generation
- Last changed on Hugging Face
- 2025-12-01
Publishing this model? A badge for its card
[](https://llmbottleneck.com/hf/deepseek-ai/DeepSeek-V3.2-Speciale)
It states the memory to run the model at Q4_K_M with 8,192 tokens of context — built on this repository’s own Q4_K_M file when it publishes one — and links back to this page, where the evidence is.
Resolve another repository
The same answer as JSON: GET /v1/resolve?repo=deepseek-ai/DeepSeek-V3.2-Speciale, with a free key from /keys.