jonatasgrosman/wav2vec2-large-xlsr-53-polish
jonatasgrosman/wav2vec2-large-xlsr-53-polish
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302M
Context
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Downloads
4.1M
Likes
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Architecture
wav2vec2
24 layers · head 64 · hidden 1024
GPU Requirements
VRAM / RAM / disk estimates by quantization and usage scenario
| Quantization | Minimum | Recommended | Production |
|---|---|---|---|
| FP1616bit | 4.1 GB RAM 32.0 · Disk 39.9 | 4.9 GB RAM 32.0 · Disk 65.9 | 6.3 GB RAM 32.0 · Disk 104.9 |
| FP88bit | 3.4 GB RAM 32.0 · Disk 39.4 | 4.2 GB RAM 32.0 · Disk 65.4 | 5.5 GB RAM 32.0 · Disk 104.4 |
| INT88bit | 3.4 GB RAM 32.0 · Disk 39.4 | 4.2 GB RAM 32.0 · Disk 65.4 | 5.5 GB RAM 32.0 · Disk 104.4 |
| AWQ4bit | 3.1 GB RAM 32.0 · Disk 39.2 | 3.8 GB RAM 32.0 · Disk 65.2 | 5.2 GB RAM 32.0 · Disk 104.2 |
| GPTQ4bit | 3.1 GB RAM 32.0 · Disk 39.2 | 3.8 GB RAM 32.0 · Disk 65.2 | 5.2 GB RAM 32.0 · Disk 104.2 |
| GGUF4bit | 3.1 GB RAM 32.0 · Disk 39.2 | 3.8 GB RAM 32.0 · Disk 65.2 | 5.2 GB RAM 32.0 · Disk 104.2 |
GPU Recommendations
1× RTX 3080 Ti
12 GB VRAM
≈ RTF 0.39
Effective production throughput ≈ 0.3 RTF
score 0.5802
1× Tesla V100
16 GB VRAM
≈ RTF 0 (N/A — benchmark unavailable)
Effective production throughput ≈ 0 RTF
score 0.5529
8× RTX 5080
128 GB VRAM
≈ RTF 0.11
Effective production throughput ≈ 0.1 RTF
score 0.359
1× RTX 4060 Ti
8 GB VRAM
≈ RTF 1.22
Effective production throughput ≈ 0.9 RTF
score 0.6183
💬 Community — real deployment experience
0 Articles · 0 Benchmarks
GPUs that fit (single card)
Tesla V100
16 GB VRAM
$35.7
/mo · vast
RTX 4060 Ti
8 GB VRAM
$52.2
/mo · vast
RTX 3080 Ti
12 GB VRAM
$60.0
/mo · vast
RTX 3080
10 GB VRAM
$63.8
/mo · vast
RTX 4070S Ti
16 GB VRAM
$68.5
/mo · vast