Model card
InternVL2-76B.
Shanghai AI Labopen-source76B paramsVision-Language ModelMIT
§ 02 · Benchmarks
Every benchmark InternVL2-76B has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | VQA v2.0 | Multimodal · Visual Question Answering | accuracy | 87.2% | #2 | 2024-04-25 | source ↗ |
| 02 | CC-OCR | Computer Vision · General OCR Capabilities | multi-scene-f1 | 76.9% | #3 | — | source ↗ |
| 03 | CC-OCR | Computer Vision · General OCR Capabilities | kie-f1 | 61.6% | #5 | — | source ↗ |
| 04 | TextVQA | Multimodal · Visual Question Answering | accuracy | 84.4% | #6 | 2024-04-25 | source ↗ |
| 05 | CC-OCR | Computer Vision · General OCR Capabilities | document-parsing | 35.3% | #6 | — | source ↗ |
| 06 | CC-OCR | Computer Vision · General OCR Capabilities | multilingual-f1 | 46.6% | #6 | — | source ↗ |
| 07 | MMBench | Multimodal · Visual Question Answering | accuracy | 86.5% | #10 | 2024-04-25 | source ↗ |
| 08 | MMMU | Multimodal · Visual Question Answering | accuracy | 67.4% | #17 | 2024-04-25 | source ↗ |
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 03 · Strengths by area
Where InternVL2-76B actually performs.
§ 04 · Papers
1 paper with results for InternVL2-76B.
- 2024-04-25· Multimodal· 4 results
InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks
§ 05 · Related models
Other Shanghai AI Lab models scored on Codesota.
§ 06 · Sources & freshness
Where these numbers come from.
arxiv
4
results
cc-ocr-paper
3
results
alphaxiv-leaderboard
1
result
7 of 8 rows marked verified.