FitMyLLM
OpenGVLab/Dense

OInternVL2 8B

InternVL2 — strong open vision model competitive with GPT-4V on benchmarks.

visionchat
8B
Parameters
8K
Context length
8
Benchmarks
6
Quantizations
320K
HF downloads
Architecture
Dense
Released
2024-07-15
Layers
32
KV Heads
8
Head Dim
128
Family
other

Quantization Options

Context length:
QuantBitsVRAM @ 8KQuality
Q4_K_M4.89
5.9 GB
5.4 + 0.5 KV
good
Q5_K_S5.57
6.6 GB
6.1 + 0.5 KV
good
Q5_K_M5.7
6.7 GB
6.2 + 0.5 KV
good
Q6_K6.56
7.5 GB
7.0 + 0.5 KV
excellent
Q8_08.5
9.5 GB
9.0 + 0.5 KV
lossless
FP1616
17.0 GB
16.5 + 0.5 KV
lossless

Select your GPU above to see speed estimates and compatibility for each quantization.

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Benchmarks (8)

MMBench79.4
IFEval65.0
MMLU-PRO52.0
MMMU51.2
BBH50.0
GPQA32.0
MUSR15.0
MATH12.0

Run this model

Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run other:8b-q4_K_M

Tag may need adjustment — check ollama.com/library/other for available tags.

▸ SETUP GUIDE
>_

Auto-setup with fitmyllm CLI

Detects your GPU, recommends the best model, downloads it, and starts chatting — zero config. Benchmarks your speed and contributes anonymous data to improve predictions.

pip install fitmyllmthen run fitmyllmLearn more
Auto-detect GPULive tok/s in chatSpeed benchmarks9 inference engines

GPUs that can run this model

At Q4_K_M quantization. Sorted by minimum VRAM.

NVIDIA Tesla C2070
6 GB VRAM • 143 GB/s
NVIDIA
NVIDIA Tesla C2075
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla C2090
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla M2070
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla M2070-Q
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla M2075
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla M2090
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla X2070
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla X2090
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla K20X
6 GB VRAM • 250 GB/s
NVIDIA
NVIDIA Tesla K20Xm
6 GB VRAM • 250 GB/s
NVIDIA

Find the best GPU for InternVL2 8B

Build Hardware for InternVL2 8B

InternVL2 — strong open vision model competitive with GPT-4V on benchmarks.

▸ SPEC SHEET

InternVL2 8B8B Dense.

▸ SPECIFICATIONS
PARAMETERS
8B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
8K tokens
CAPABILITIES
vision, chat
RELEASE DATE
2024-07-15
PROVIDER
OpenGVLab
FAMILY
other
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q4_K_M4.895.4 GB94%
Q5_K_S5.576.1 GB96%
Q5_K_M5.76.2 GB96%
Q6_K6.567.0 GB97%
Q8_08.59.0 GB100%
FP161616.5 GB100%
§ 01BENCHMARK SCORES
MMLU-PRO52.0
MATH12.0
IFEval65.0
BBH50.0
MMMU51.2
GPQA32.0
MUSR15.0
MMBench79.4
§ 02RUN COMMAND

Run InternVL2 8B locally with Ollama — needs 5.4 GB VRAM at Q4_K_M:

$ollama run internvl2:8b
§ 03COMPATIBLE GPUs
30 @ Q4_K_M