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  1. Home
  2. Models
  3. Deepseek AI Deepseek Coder 33B Instruct
  4. Requirements
  5. Q3_K_S
Q3_K_S13GB VRAM minimum

Deepseek AI Deepseek Coder 33B Instruct Q3_K_S VRAM Requirements

This page answers Deepseek AI Deepseek Coder 33B Instruct q3_k_s quantization queries with explicit calculations from our model requirement dataset and compatibility speed table.

Short answer
Direct requirement summary for Deepseek AI Deepseek Coder 33B Instruct Q3_K_S

Short answer: Deepseek AI Deepseek Coder 33B Instruct typically needs around 13GB VRAM at Q3_K_S, and 16GB is safer for smoother usage.

Minimum VRAM
13GB
Recommended VRAM
16GB
Target quantization
Q3_K_S
Requirement Snapshot
Current quantization-specific requirement breakdown
Selected quantizationQ3_K_S
Minimum VRAM13GB
Q4 baseline17GB
Q8 baseline33GB
FP16 baseline66GB
Methodology
No hand-wavy numbers

Estimated from Q4 using a 28% memory reduction assumption for Q3_K_S.

Throughput data below uses available compatibility measurements/estimates and is sorted by tokens per second for this model.

Need general guidance? Review full methodology.

Next steps for this requirement

AMD Instinct MI300X
Check full compatibility details and speed context for this model.
Can AMD Instinct MI300X run Deepseek AI Deepseek Coder 33B Instruct? →Buy options for AMD Instinct MI300X →
NVIDIA H200 SXM 141GB
Check full compatibility details and speed context for this model.
Can NVIDIA H200 SXM 141GB run Deepseek AI Deepseek Coder 33B Instruct? →Buy options for NVIDIA H200 SXM 141GB →
NVIDIA H100 SXM5 80GB
Check full compatibility details and speed context for this model.
Can NVIDIA H100 SXM5 80GB run Deepseek AI Deepseek Coder 33B Instruct? →Buy options for NVIDIA H100 SXM5 80GB →
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Compare other quantization tiers for Deepseek AI Deepseek Coder 33B Instruct

Q4 requirementsQ4_K_M requirementsQ5_K_M requirementsQ8 requirementsFP16 requirements

High-demand speed checks for Deepseek AI Deepseek Coder 33B Instruct

deepseek ai deepseek coder 33b instruct speed on apple m3 max164 impressions tracked

Best GPUs for Deepseek AI Deepseek Coder 33B Instruct (Q3_K_S)

GPUVRAMQuantizationSpeedCompatibilityBuy
AMD Instinct MI300X192GBQ4334 tok/sView full compatibilityBuy options
NVIDIA H200 SXM 141GB141GBQ4302 tok/sView full compatibilityBuy options
NVIDIA H100 SXM5 80GB80GBQ4217 tok/sView full compatibilityBuy options
AMD Instinct MI250X128GBQ4209 tok/sView full compatibilityBuy options
NVIDIA H100 PCIe 80GB80GBQ4137 tok/sView full compatibilityBuy options
RTX 509032GBQ4131 tok/sView full compatibilityBuy options
NVIDIA A100 80GB SXM480GBQ4128 tok/sView full compatibilityBuy options
AMD Instinct MI21064GBQ4104 tok/sView full compatibilityBuy options
NVIDIA A100 40GB PCIe40GBQ499 tok/sView full compatibilityBuy options
RTX 409024GBQ479 tok/sView full compatibilityBuy options
NVIDIA RTX 6000 Ada48GBQ478 tok/sView full compatibilityBuy options
NVIDIA L4048GBQ472 tok/sView full compatibilityBuy options
Back to Deepseek AI Deepseek Coder 33B Instruct model pageFull hardware requirementsBest GPU guidesPrebuilt systemsLocal AI build guides

VRAM requirements FAQ

How much VRAM does Deepseek AI Deepseek Coder 33B Instruct need at Q3_K_S?

Deepseek AI Deepseek Coder 33B Instruct at Q3_K_S is estimated to require about 13GB VRAM minimum, with 16GB recommended for smoother operation.

Which GPUs can run Deepseek AI Deepseek Coder 33B Instruct Q3_K_S?

Start with AMD Instinct MI300X, NVIDIA H200 SXM 141GB, NVIDIA H100 SXM5 80GB and review each compatibility page for full speed and fit details.

Should I use Q3_K_S or a different quantization for Deepseek AI Deepseek Coder 33B Instruct?

Q3_K_S is a balance point between memory usage and quality. If your GPU is below 13GB, consider lower-bit quantization; if you have extra VRAM, compare Q8/FP16 options for quality-sensitive workloads.