// DeepSeek · Text LLM
DeepSeek-V3-0324: VRAM & local deployment
684.5B (MoE) parameters. About 458 GB at 4-bit and 1.51 TB at BF16 with one 8K-token request.
released 2025-03-24licence: Commercial OKmemory figures are estimates
01Specs
| Publisher | DeepSeek · deepseek-ai |
|---|---|
| Family / series | DeepSeek · DeepSeek |
| Type | Text LLM (text-generation) |
| Parameters | 684.5B (MoE) Source: counted from official safetensors weights |
| Context length | 160K tokens (163,840)max_position_embeddings in config.json |
| Architecture | 61 layers · MLA · MoE |
| Released weights | FP8 (E4M3) · 689 GBdownload |
| Licence | MIT · Commercial OKPermissive licence (Apache-2.0 / MIT / CC-BY / OpenMDW): commercial use allowed. |
| Released | 2025-03-24 (Hugging Face repo created) |
02How much VRAM it needs (estimate)
Total = weights + 10% + 0.5GB overhead + KV cache for one request (FP16 KV). More concurrent users multiply the KV column.
| Precision | Weights | Total @ 8K | Total @ 32K | Total @ 128K | Smallest GPU | Mac |
|---|---|---|---|---|---|---|
| BF16 / FP16 (original) | 1.37 TB | 1.51 TB | 1.51 TB | 1.52 TB | 8 × B300 (2,304GB) | — |
| FP8 / INT8 / Q8_0 | 727 GB | 801 GB | 803 GB | 810 GB | 8 × H200 (1,128GB) | — |
| 4-bit (Q4_K_M / AWQ / GPTQ-Int4) | 415 GB | 458 GB | 459 GB | 466 GB | 8 × H100 (640GB) | — |
KV cache per request: 8K 0.6 GB · 32K 2.3 GB · 128K 9.2 GB
Bits per weight: BF16 16, FP8 8.5, 4-bit 4.85. “Fits” = total ≤ 90% of memory; Mac GPU can use ~2/3 of unified memory (≤36GB) or ~3/4 (larger). For MoE, all experts must be in memory, so size by total parameters. Method →
03How to run it
Only runtimes the publisher or the runtime’s official library names for this model.
- Transformers — mentioned in the official model card
04Official repositories & quantised builds
1 official repo(s) from deepseek-ai.
- DeepSeek-V3-0324 main
05Other DeepSeek models
All 34 →| Model | Params | 4-bit total | Released |
|---|---|---|---|
| DeepSeek-V2-Chat-0628 · same series | 235.7B | 158 GB | 2024-07-18 |
| DeepSeek-V2.5-1210 · same series | 235.7B | 158 GB | 2024-12-10 |
| DeepSeek-V2.5 · same series | 235.7B | 158 GB | 2024-09-05 |
| DeepSeek-V3.1-Base · same series | 671B / 37B | 449 GB | 2025-08-19 |
| DeepSeek-V3 · same series | 671B / 37B | 449 GB | 2024-12-25 |
| DeepSeek-V3.2 · same series | 685.4B | 458 GB | 2025-12-01 |
| DeepSeek-V4.1-Flash-1017 | 748B / 16B | 499 GB | 2026-10-17 |
| DeepSeek-V4.1-Flash | 748B / 16B | 499 GB | 2026-09-10 |
| DeepSeek-V4-Pro-0813 | 1.65T | 1.10 TB | 2026-08-13 |
| DeepSeek-V4-Flash-0731 | 304.2B | 203 GB | 2026-07-31 |
| DeepSeek-V4-Flash | 284B / 13B | 190 GB | 2026-04-22 |
| DeepSeek-V4-Pro | 1.6T / 49B | 1.07 TB | 2026-04-22 |
| DeepSeek-OCR-2 | 3.39B | 3.3 GB | 2026-01-27 |
| DeepSeek-V3.2-Speciale | 685.4B | 458 GB | 2025-11-28 |
06Sources
Data checked 2025-03-27. Parameters, context and licence are copied from the official repository; memory figures are our estimates.