InternVL2 8B

OpenGVLab/InternVL2-8B

Parameters

8.1B

Context

8K

Downloads

114.3K

Likes

186

Architecture

transformer

View on HuggingFace

GPU Requirements

VRAM / RAM / disk estimates by quantization and usage scenario

QuantizationMinimumRecommendedProduction
FP1616bit
22.7 GB
RAM 34.0 · Disk 62.5
25.7 GB
RAM 38.6 · Disk 88.5
42.4 GB
RAM 63.6 · Disk 127.5
FP88bit
13.1 GB
RAM 32.0 · Disk 50.8
15.7 GB
RAM 32.0 · Disk 76.8
32.0 GB
RAM 48.0 · Disk 115.8
INT88bit
13.1 GB
RAM 32.0 · Disk 50.8
15.7 GB
RAM 32.0 · Disk 76.8
32.0 GB
RAM 48.0 · Disk 115.8
AWQ4bit
8.5 GB
RAM 32.0 · Disk 45.1
10.9 GB
RAM 32.0 · Disk 71.1
27.0 GB
RAM 40.5 · Disk 110.1
GPTQ4bit
8.6 GB
RAM 32.0 · Disk 45.2
11.0 GB
RAM 32.0 · Disk 71.2
27.1 GB
RAM 40.6 · Disk 110.2
GGUF4bit
8.7 GB
RAM 32.0 · Disk 45.3
11.1 GB
RAM 32.0 · Disk 71.3
27.2 GB
RAM 40.8 · Disk 110.3

GPU Recommendations

Best ValueBEST

1× RTX 5080

16 GB VRAM

$90.6/mo

≈ 245.5 tok/s

Effective production throughput ≈ 171.9 tok/s

score 0.6771

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 0.6717

Deploy on vast ↗
Performance

8× H100 SXM

640 GB VRAM

$9,357/mo

≈ 2741.7 tok/s

Effective production throughput ≈ 1919.2 tok/s

score 0.2416

Deploy on vast ↗
Min Complexity

1× RTX 5070

12 GB VRAM

$58.7/mo

≈ 171.9 tok/s

Effective production throughput ≈ 120.3 tok/s

score 0.6507

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 4070S Ti

16 GB VRAM

$49.5

/mo · vast

RTX 4080S

16 GB VRAM

$50.0

/mo · vast

RTX 5070

12 GB VRAM

$58.7

/mo · vast

RTX 5070 Ti

16 GB VRAM

$62.0

/mo · vast

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