Yi

FacebookAI/xlm-roberta-large

FacebookAI/xlm-roberta-large

Parameters

558M

Context

514

Downloads

6.4M

Likes

525

Architecture

xlm-roberta

24 layers · head 64 · hidden 1024

View on HuggingFace

GPU Requirements

VRAM / RAM / disk estimates by quantization and usage scenario

QuantizationMinimumRecommendedProduction
FP1616bit
4.1 GB
RAM 32.0 · Disk 40.6
8.9 GB
RAM 32.0 · Disk 66.6
39.8 GB
RAM 59.8 · Disk 105.6
FP88bit
3.5 GB
RAM 32.0 · Disk 39.8
8.2 GB
RAM 32.0 · Disk 65.8
39.1 GB
RAM 58.7 · Disk 104.8
INT88bit
3.5 GB
RAM 32.0 · Disk 39.8
8.2 GB
RAM 32.0 · Disk 65.8
39.1 GB
RAM 58.7 · Disk 104.8
AWQ4bit
3.2 GB
RAM 32.0 · Disk 39.4
7.8 GB
RAM 32.0 · Disk 65.4
38.8 GB
RAM 58.2 · Disk 104.4
GPTQ4bit
3.2 GB
RAM 32.0 · Disk 39.4
7.8 GB
RAM 32.0 · Disk 65.4
38.8 GB
RAM 58.2 · Disk 104.4
GGUF4bit
3.2 GB
RAM 32.0 · Disk 39.4
7.8 GB
RAM 32.0 · Disk 65.4
38.8 GB
RAM 58.2 · Disk 104.4

GPU Recommendations

Best ValueBEST

1× RTX 5080

16 GB VRAM

$90.6/mo

≈ 3555.6 tok/s

Effective production throughput ≈ 2488.9 tok/s

score 0.6255

Deploy on vast ↗
Cheapest

1× RTX 5060 Ti

8 GB VRAM

$39.7/mo

≈ 1659.3 tok/s

Effective production throughput ≈ 1161.5 tok/s

score 0.639

Deploy on vast ↗
Performance

8× H200 SXM

1128 GB VRAM

$20,440/mo

≈ 56888.9 tok/s

Effective production throughput ≈ 39822.2 tok/s

score 0.2197

Min Complexity

1× RTX 5070

12 GB VRAM

$54.1/mo

≈ 2488.9 tok/s

Effective production throughput ≈ 1742.2 tok/s

score 0.6677

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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