InternVL2 26B

OpenGVLab/InternVL2-26B

Parameters

25.5B

Context

8K

Downloads

1.1K

Likes

118

Architecture

transformer

View on HuggingFace

GPU Requirements

VRAM / RAM / disk estimates by quantization and usage scenario

QuantizationMinimumRecommendedProduction
FP1616bit
63.7 GB
RAM 95.5 · Disk 113.1
68.6 GB
RAM 102.9 · Disk 139.1
87.2 GB
RAM 130.7 · Disk 178.1
FP88bit
33.6 GB
RAM 50.4 · Disk 76.1
37.2 GB
RAM 55.7 · Disk 102.1
54.4 GB
RAM 81.6 · Disk 141.1
INT88bit
33.6 GB
RAM 50.4 · Disk 76.1
37.2 GB
RAM 55.7 · Disk 102.1
54.4 GB
RAM 81.6 · Disk 141.1
AWQ4bit
19.2 GB
RAM 32.0 · Disk 58.2
22.0 GB
RAM 33.1 · Disk 84.2
38.6 GB
RAM 57.9 · Disk 123.2
GPTQ4bit
19.4 GB
RAM 32.0 · Disk 58.5
22.2 GB
RAM 33.4 · Disk 84.5
38.8 GB
RAM 58.2 · Disk 123.5
GGUF4bit
19.7 GB
RAM 32.0 · Disk 58.9
22.6 GB
RAM 34.0 · Disk 84.9
39.2 GB
RAM 58.8 · Disk 123.9

GPU Recommendations

Best ValueBEST

1× RTX 5090

32 GB VRAM

$236/mo

≈ 145.5 tok/s

Effective production throughput ≈ 101.9 tok/s

score 0.6816

Deploy on vast ↗
Cheapest

2× Tesla V100

32 GB VRAM

$40.6/mo

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

Effective production throughput ≈ 0 tok/s

score 0.6303

Deploy on vast ↗
Performance

8× H200 SXM

1128 GB VRAM

$20,440/mo

≈ 1246.8 tok/s

Effective production throughput ≈ 872.8 tok/s

score 0.2197

Min Complexity

1× RTX 3090

24 GB VRAM

$79.5/mo

≈ 76 tok/s

Effective production throughput ≈ 53.2 tok/s

score 0.6501

Deploy on vast ↗

💬 Community — real deployment experience

0 Articles · 0 Benchmarks

View Community →

GPUs that fit (single card)

RTX 3090

24 GB VRAM

$79.5

/mo · vast

RTX 4090

24 GB VRAM

$98.1

/mo · vast

RTX 4090D

24 GB VRAM

$117

/mo · vast

L4

24 GB VRAM

$147

/mo · vast

A10

24 GB VRAM

$176

/mo · vast

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