DeepSeek R1 Distill Qwen 7B VRAM Requirements

DeepSeek R1 Distill Qwen 7B needs about 5.6 GB of VRAM at Q4_K_M with an 8K context: 4.3 GB for weights, 0.4 GB for the KV cache and 0.8 GB of runtime overhead. At Q8_0 it needs 8.8 GB and at full FP16 precision 15.5 GB. The smallest GPU that runs it fully is the RTX 3050 8GB.

By DeepSeek · Updated October 14, 2026 · Values from config.json on Hugging Face

5.6 GB VRAM

DeepSeek R1 Distill Qwen 7B at Q4_K_M with 8K context and the KV cache in FP16.

  • Weights 4.3 GB
  • KV cache 0.4 GB
  • Runtime overhead 0.8 GB

Which GPUs can run it

DeepSeek R1 Distill Qwen 7B VRAM by quantization

Total memory with an FP16 KV cache. "Smallest tier" is the smallest standard VRAM size with a 6% safety margin at 8K.

QuantizationBits/weightWeightsTotal at 8KTotal at 32KSmallest tier
Q4_K_M4.854.3 GB5.6 GB6.9 GB6 GB
Q5_K_M5.695.0 GB6.3 GB7.6 GB8 GB
Q6_K6.595.8 GB7.1 GB8.4 GB8 GB
Q8_08.507.5 GB8.8 GB10.1 GB10 GB
FP16 / BF1616.0014.2 GB15.5 GB16.8 GB20 GB
Q3_K_M3.913.5 GB4.8 GB6.1 GB6 GB
Q2_K3.002.7 GB3.9 GB5.3 GB6 GB

VRAM by context length

At Q4_K_M. The KV cache grows linearly with context: 0.05 GB per 1,000 tokens in FP16.

ContextKV cache (FP16)KV cache (Q8_0)Total, FP16 cacheTotal, Q8_0 cache
4K tokens0.2 GB0.1 GB5.4 GB5.3 GB
8K tokens0.4 GB0.2 GB5.6 GB5.4 GB
32K tokens1.8 GB0.9 GB6.9 GB6.1 GB
128K tokens7.0 GB3.7 GB12.1 GB8.9 GB

GPUs that can run DeepSeek R1 Distill Qwen 7B

At Q4_K_M with 8K context. "Best quant" is the highest-quality format that fits fully; "max context" is at Q4_K_M.

GPUUsable memoryStatusBest quantMax contextSpeed
RTX 3050 8GB8.0 GBFitsQ6_K43K~30 tok/s
RTX 4060 8GB8.0 GBFitsQ6_K43K~36 tok/s
RTX 4060 Ti 8GB8.0 GBFitsQ6_K43K~38 tok/s
Radeon RX 7600 8GB8.0 GBFitsQ6_K43K~32 tok/s
RTX 3060 Ti 8GB8.0 GBFitsQ6_K43K~59 tok/s
RTX 3070 8GB8.0 GBFitsQ6_K43K~59 tok/s
RTX 5060 8GB8.0 GBFitsQ6_K43K~59 tok/s
RTX 5060 Ti 8GB8.0 GBFitsQ6_K43K~59 tok/s
RTX 3070 Ti 8GB8.0 GBFitsQ6_K43K~80 tok/s
Intel Arc B570 10GB10.0 GBFitsQ8_077K~39 tok/s
RTX 3080 10GB10.0 GBFitsQ8_077K~99 tok/s
Apple M4 16GB10.7 GBFitsQ8_089K~16 tok/s
RTX 2080 Ti 11GB11.0 GBFitsQ8_094K~81 tok/s
RTX 2060 12GB12.0 GBFitsQ8_0112K~44 tok/s

About DeepSeek R1 Distill Qwen 7B

Qwen 2.5 Math 7B fine-tuned on DeepSeek R1 reasoning traces. Memory needs match Qwen 2.5 7B, but reasoning traces are long, so budget for 16K to 32K of context.

SpecValue
Parameters7.62B
Layers28
Hidden size3584
Attention heads / KV heads28 / 4
Head dimension128
Vocabulary152,064
Max context (used here)128K tokens
KV cache per token (FP16)56 KB
Released2025-01
LicenseMIT

DeepSeek R1 Distill Qwen 7B VRAM: common questions

How much VRAM does R1 Distill Qwen 7B need for reasoning?

About 6.9 GB at Q4_K_M with 32K of context, thanks to its small 4-head KV cache. An 8 GB card handles it.

How much VRAM does DeepSeek R1 Distill Qwen 7B need?

About 5.6 GB at Q4_K_M with an 8K context, 8.8 GB at Q8_0 and 15.5 GB at FP16. Longer contexts add 0.05 GB per 1,000 tokens with an FP16 cache.

What is the cheapest GPU that can run DeepSeek R1 Distill Qwen 7B?

The smallest listed device that fits it fully at Q4_K_M with 8K context is the RTX 3050 8GB (8.0 GB usable).

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