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google/electra-base-discriminator

google/electra-base-discriminator

Parameters

108.4M

Context

512

Downloads

46.3M

Likes

187

Architecture

electra

12 layers · head 64 · hidden 768

View on HuggingFace

GPU Requirements

VRAM / RAM / disk estimates by quantization and usage scenario

QuantizationMinimumRecommendedProduction
FP1616bit
2.7 GB
RAM 32.0 · Disk 39.3
4.9 GB
RAM 32.0 · Disk 65.3
19.8 GB
RAM 32.0 · Disk 104.3
FP88bit
2.6 GB
RAM 32.0 · Disk 39.2
4.8 GB
RAM 32.0 · Disk 65.2
19.6 GB
RAM 32.0 · Disk 104.2
INT88bit
2.6 GB
RAM 32.0 · Disk 39.2
4.8 GB
RAM 32.0 · Disk 65.2
19.6 GB
RAM 32.0 · Disk 104.2
AWQ4bit
2.5 GB
RAM 32.0 · Disk 39.1
4.7 GB
RAM 32.0 · Disk 65.1
19.6 GB
RAM 32.0 · Disk 104.1
GPTQ4bit
2.5 GB
RAM 32.0 · Disk 39.1
4.7 GB
RAM 32.0 · Disk 65.1
19.6 GB
RAM 32.0 · Disk 104.1
GGUF4bit
2.5 GB
RAM 32.0 · Disk 39.1
4.7 GB
RAM 32.0 · Disk 65.1
19.6 GB
RAM 32.0 · Disk 104.1

GPU Recommendations

Best ValueBEST

1× RTX 3080 Ti

12 GB VRAM

$79.5/mo

≈ 18240 tok/s

Effective production throughput ≈ 12768 tok/s

score 0.6002

Deploy on vast ↗
Cheapest

1× Tesla V100

16 GB VRAM

$20.3/mo

≈ 0 tok/s (N/A — benchmark unavailable)

Effective production throughput ≈ 0 tok/s

score 0.5686

Deploy on vast ↗
Performance

8× H200 SXM

1128 GB VRAM

$20,440/mo

≈ 307200 tok/s

Effective production throughput ≈ 215040 tok/s

score 0.2197

Min Complexity

1× RTX 3080

10 GB VRAM

$69.2/mo

≈ 15200 tok/s

Effective production throughput ≈ 10640 tok/s

score 0.6204

Deploy on vast ↗

💬 Community — real deployment experience

0 Articles · 0 Benchmarks

View Community →

GPUs that fit (single card)

Tesla V100

16 GB VRAM

$20.3

/mo · vast

RTX 3080

10 GB VRAM

$69.2

/mo · vast

RTX 4060 Ti

8 GB VRAM

$78.4

/mo · vast

L4

24 GB VRAM

$78.7

/mo · vast

RTX 3080 Ti

12 GB VRAM

$79.5

/mo · vast

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