Facebookai

FacebookAI/roberta-large

FacebookAI/roberta-large

Parameters

353.5M

Context

514

Downloads

11.4M

Likes

319

Architecture

roberta

24 layers · head 64 · hidden 1024

View on HuggingFace

GPU Requirements

VRAM / RAM / disk estimates by quantization and usage scenario

QuantizationMinimumRecommendedProduction
FP1616bit
3.7 GB
RAM 32.0 · Disk 40.0
8.4 GB
RAM 32.0 · Disk 66.0
39.3 GB
RAM 59.0 · Disk 105.0
FP88bit
3.2 GB
RAM 32.0 · Disk 39.5
7.9 GB
RAM 32.0 · Disk 65.5
38.9 GB
RAM 58.3 · Disk 104.5
INT88bit
3.2 GB
RAM 32.0 · Disk 39.5
7.9 GB
RAM 32.0 · Disk 65.5
38.9 GB
RAM 58.3 · Disk 104.5
AWQ4bit
3.0 GB
RAM 32.0 · Disk 39.3
7.7 GB
RAM 32.0 · Disk 65.3
38.6 GB
RAM 58.0 · Disk 104.3
GPTQ4bit
3.0 GB
RAM 32.0 · Disk 39.3
7.7 GB
RAM 32.0 · Disk 65.3
38.6 GB
RAM 58.0 · Disk 104.3
GGUF4bit
3.0 GB
RAM 32.0 · Disk 39.3
7.7 GB
RAM 32.0 · Disk 65.3
38.6 GB
RAM 58.0 · Disk 104.3

GPU Recommendations

Best ValueBEST

1× RTX 5080

16 GB VRAM

$90.6/mo

≈ 5647.1 tok/s

Effective production throughput ≈ 3953 tok/s

score 0.6233

Deploy on vast ↗
Cheapest

1× RTX 5060 Ti

8 GB VRAM

$39.7/mo

≈ 2635.3 tok/s

Effective production throughput ≈ 1844.7 tok/s

score 0.639

Deploy on vast ↗
Performance

8× H200 SXM

1128 GB VRAM

$20,440/mo

≈ 90352.9 tok/s

Effective production throughput ≈ 63247 tok/s

score 0.2197

Min Complexity

1× RTX 5070

12 GB VRAM

$54.1/mo

≈ 3952.9 tok/s

Effective production throughput ≈ 2767 tok/s

score 0.6648

Deploy on vast ↗

💬 Community — real deployment experience

0 Articles · 0 Benchmarks

View Community →

GPUs that fit (single card)

RTX 5060 Ti

8 GB VRAM

$39.7

/mo · vast

RTX 4070S Ti

16 GB VRAM

$49.5

/mo · vast

RTX 4080S

16 GB VRAM

$50.0

/mo · vast

RTX 5070

12 GB VRAM

$54.1

/mo · vast

RTX 5070 Ti

16 GB VRAM

$83.1

/mo · vast

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