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// DeepSeek · Text LLM

DeepSeek-R1-Distill-Qwen-14B: VRAM & local deployment

14.8B parameters. About 12.0 GB at 4-bit and 34.6 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)
Parameters14.8B Source: counted from official safetensors weights
Context length128K tokens (131,072)max_position_embeddings in config.json
Architecture48 layers · GQA
Released weightsBF16 · 29.5 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)29.5 GB 34.6 GB39.4 GB58.8 GB 2 × RTX 5090 (64GB)Mac 64GB
FP8 / INT8 / Q8_015.7 GB 19.4 GB24.2 GB43.5 GB RTX 4090 24GBMac 36GB
4-bit (Q4_K_M / AWQ / GPTQ-Int4)8.9 GB 12.0 GB16.8 GB36.1 GB 16GB GPUMac 24GB

KV cache per request: 8K 1.6 GB · 32K 6.4 GB · 128K 25.8 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-32B · same series32.8B24.5 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)