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// DeepSeek · Text LLM

DeepSeek-R1-Distill-Qwen-32B: VRAM & local deployment

32.8B parameters. About 24.5 GB at 4-bit and 74.7 GB at BF16 with one 8K-token request.

released 2025-01-20licence: Commercial OKmemory figures are estimates

01Specs

PublisherDeepSeek · deepseek-ai
Family / seriesDeepSeek · DeepSeek-R1-Distill-Qwen
TypeText LLM (text-generation)
Parameters32.8B Source: counted from official safetensors weights
Context length128K tokens (131,072)max_position_embeddings in config.json
Architecture64 layers · GQA
Released weightsBF16 · 65.5 GBdownload
LicenceMIT · Commercial OKPermissive licence (Apache-2.0 / MIT / CC-BY / OpenMDW): commercial use allowed.
Released2025-01-20 (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 @ 8KTotal @ 32KTotal @ 128KSmallest GPUMac
BF16 / FP16 (original)65.5 GB 74.7 GB81.2 GB107 GB RTX PRO 6000 96GBMac 128GB
FP8 / INT8 / Q8_034.8 GB 40.9 GB47.4 GB73.2 GB 2 × RTX 5090 (64GB)Mac 64GB
4-bit (Q4_K_M / AWQ / GPTQ-Int4)19.9 GB 24.5 GB30.9 GB56.7 GB RTX 5090 32GBMac 64GB

KV cache per request: 8K 2.1 GB · 32K 8.6 GB · 128K 34.4 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-R1-Distill-Qwen-1.5B · same series1.78B1.9 GB2025-01-20
DeepSeek-R1-Distill-Qwen-7B · same series7.62B6.0 GB2025-01-20
DeepSeek-R1-Distill-Qwen-14B · same series14.8B12.0 GB2025-01-20
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 2025-02-24. Parameters, context and licence are copied from the official repository; memory figures are our estimates.

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