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openai/whisper-large-v3-turbo
openai/whisper-large-v3-turbo
Parameters
808.9M
Context
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Downloads
6.4M
Likes
3.4K
Architecture
whisper
32 layers
GPU Requirements
VRAM / RAM / disk estimates by quantization and usage scenario
| Quantization | Minimum | Recommended | Production |
|---|---|---|---|
| FP1616bit | 6.4 GB RAM 32.0 · Disk 41.4 | 7.3 GB RAM 32.0 · Disk 67.4 | 8.8 GB RAM 32.0 · Disk 106.4 |
| FP88bit | 4.6 GB RAM 32.0 · Disk 40.2 | 5.4 GB RAM 32.0 · Disk 66.2 | 6.8 GB RAM 32.0 · Disk 105.2 |
| INT88bit | 4.6 GB RAM 32.0 · Disk 40.2 | 5.4 GB RAM 32.0 · Disk 66.2 | 6.8 GB RAM 32.0 · Disk 105.2 |
| AWQ4bit | 3.7 GB RAM 32.0 · Disk 39.6 | 4.4 GB RAM 32.0 · Disk 65.6 | 5.8 GB RAM 32.0 · Disk 104.6 |
| GPTQ4bit | 3.7 GB RAM 32.0 · Disk 39.6 | 4.5 GB RAM 32.0 · Disk 65.6 | 5.8 GB RAM 32.0 · Disk 104.6 |
| GGUF4bit | 3.7 GB RAM 32.0 · Disk 39.6 | 4.5 GB RAM 32.0 · Disk 65.6 | 5.9 GB RAM 32.0 · Disk 104.6 |
GPU Recommendations
Best ValueBEST
1× RTX 3080 Ti
12 GB VRAM
$79.5/mo
≈ RTF 0.39
Effective production throughput ≈ 0.3 RTF
score 0.5935
Cheapest
1× RTX 3080
10 GB VRAM
$58.6/mo
≈ RTF 0.46
Effective production throughput ≈ 0.3 RTF
score 0.6126
Performance
8× RTX 4090
192 GB VRAM
$1,518/mo
≈ RTF 0.11
Effective production throughput ≈ 0.1 RTF
score 0.3514
Min Complexity
1× RTX 3090
24 GB VRAM
$88.4/mo
≈ RTF 0.38
Effective production throughput ≈ 0.3 RTF
score 0.5442
💬 Community — real deployment experience
0 Articles · 0 Benchmarks
GPUs that fit (single card)
RTX 3080
10 GB VRAM
$58.6
/mo · vast
Tesla V100
16 GB VRAM
$66.4
/mo · vast
RTX 4060 Ti
8 GB VRAM
$78.4
/mo · vast
RTX 3080 Ti
12 GB VRAM
$79.5
/mo · vast
RTX 3090
24 GB VRAM
$88.4
/mo · vast