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// DeepSeek · Vision-language

deepseek-vl2-tiny: VRAM & local deployment

3.37B total · 1B active (MoE) parameters. About 3.2 GB at 4-bit and 8.4 GB at BF16 with one 8K-token request.

released 2024-12-13licence: Commercial with conditionsmemory figures are estimates

01Specs

PublisherDeepSeek · deepseek-ai
Family / seriesDeepSeek · deepseek-vl2-tiny
TypeVision-language (image-text-to-text)
Parameters3.37B total · 1B active (MoE) Source: counted from official safetensors weightsActive parameters from the model card: “DeepSeek-VL2-Tiny, DeepSeek-VL2-Small and DeepSeek-VL2, with 1.0B, 2.8B and 4.5B activated parameters respectively.”
Context length4K tokens (4,096)max_position_embeddings in config.json
Architecture12 layers · GQA · MoE
Released weightsBF16 · 6.7 GBdownload
Licencedeepseek · Commercial with conditionsCommercial use allowed under the publisher’s own licence terms (user caps, acceptable-use policy, attribution or region limits). Read it before shipping.
Released2024-12-13 (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.

PrecisionWeightsTotal @ 8KSmallest GPUMac
BF16 / FP16 (original)6.7 GB 8.4 GB 12GB GPUMac 16GB
FP8 / INT8 / Q8_03.6 GB 4.9 GB 8GB GPUMac 16GB
4-bit (Q4_K_M / AWQ / GPTQ-Int4)2.0 GB 3.2 GB 8GB GPUMac 16GB

KV cache per request: 8K 0.5 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.

Which inference engine to choose →

04Official repositories & quantised builds

1 official repo(s) from deepseek-ai.

05Other DeepSeek models

All 34 →
ModelParams4-bit totalReleased
DeepSeek-V4.1-Flash-1017748B / 16B499 GB2026-10-17
DeepSeek-V4.1-Flash748B / 16B499 GB2026-09-10
DeepSeek-V4-Pro-08131.65T1.10 TB2026-08-13
DeepSeek-V4-Flash-0731304.2B203 GB2026-07-31
DeepSeek-V4-Flash284B / 13B190 GB2026-04-22
DeepSeek-V4-Pro1.6T / 49B1.07 TB2026-04-22
DeepSeek-OCR-23.39B3.3 GB2026-01-27
DeepSeek-V3.2685.4B458 GB2025-12-01

06Sources

Data checked 2024-12-18. Parameters, context and licence are copied from the official repository; memory figures are our estimates.

Data updated: Self-host open models(UTC+8)