DeepSeek Coder V1 33B
deepseek-ai/deepseek-coder-33b-base
Parameters
33B
Context
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Downloads
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Architecture
transformer
GPU Requirements
VRAM / RAM / disk estimates by quantization and usage scenario
| Quantization | Minimum | Recommended | Production |
|---|---|---|---|
| FP1616bit | 82.7 GB RAM 124.1 · Disk 134.9 | 102.0 GB RAM 153.0 · Disk 160.9 | 202.4 GB RAM 303.6 · Disk 199.9 |
| FP88bit | 43.8 GB RAM 65.7 · Disk 86.9 | 61.4 GB RAM 92.0 · Disk 112.9 | 160.0 GB RAM 240.0 · Disk 151.9 |
| INT88bit | 43.8 GB RAM 65.7 · Disk 86.9 | 61.4 GB RAM 92.0 · Disk 112.9 | 160.0 GB RAM 240.0 · Disk 151.9 |
| AWQ4bit | 25.1 GB RAM 37.7 · Disk 63.9 | 41.8 GB RAM 62.7 · Disk 89.9 | 139.6 GB RAM 209.4 · Disk 128.9 |
| GPTQ4bit | 25.4 GB RAM 38.0 · Disk 64.2 | 42.0 GB RAM 63.1 · Disk 90.2 | 139.9 GB RAM 209.8 · Disk 129.2 |
| GGUF4bit | 25.9 GB RAM 38.8 · Disk 64.8 | 42.6 GB RAM 63.8 · Disk 90.8 | 140.4 GB RAM 210.6 · Disk 129.8 |
GPU Recommendations
1× H100 SXM
80 GB VRAM
≈ 210.2 tok/s
Effective production throughput ≈ 147.1 tok/s
score 0.6288
4× Tesla V100
64 GB VRAM
≈ 0 tok/s (N/A — benchmark unavailable)
Effective production throughput ≈ 0 tok/s
score 0.5724
8× H200 SXM
1128 GB VRAM
≈ 963.6 tok/s
Effective production throughput ≈ 674.5 tok/s
score 0.2197
1× RTX A6000
48 GB VRAM
≈ 48.2 tok/s
Effective production throughput ≈ 33.7 tok/s
score 0.659
💬 Community — real deployment experience
0 Articles · 0 Benchmarks
GPUs that fit (single card)
RTX A6000
48 GB VRAM
$210
/mo · vast
L40S
48 GB VRAM
$341
/mo · vast
RTX PRO 6000 WS
48 GB VRAM
$482
/mo · vast
RTX PRO 6000 S
48 GB VRAM
$633
/mo · vast
A100 80GB
80 GB VRAM
$876
/mo · vast