When Do We Not Need Larger Vision Models?
Model
This is a LLaVA-v1.5-7b model trained with S2-Wrapper, a simple approach to enable any vision model to perceive high-resolution images. We use image resolutions of up to 1008x1008 for this model.
Training
The training pipeline and dataset completely follow LLaVA-v1.5. We use LoRA to fine-tune the model.
Benchmarking
| Version | Size | Schedule | Checkpoint | VQAv2 | VizWiz | TextVQA | MMMU-val | MathVista | MM-Bench | SEED | MM-Vet |
|---|---|---|---|---|---|---|---|---|---|---|---|
| LLaVA-1.5 | 7B | full_ft-1e | liuhaotian/llava-v1.5-7b | 78.5 | 50.0 | 58.2 | 36.2 | 25.2 | 64.3 | 65.7 | 31.1 |
| LLaVA-1.5 | 7B | lora-1e | liuhaotian/llava-v1.5-7b-lora | 79.1 | 47.8 | 58.2 | - | - | 66.1 | - | 30.2 |
| LLaVA-1.5-S2 | 7B | lora-1e | this model | 80.0 | 50.1 | 61.0 | 37.7 | 25.3 | 66.2 | 67.9 | 32.4 |
License
Llama 2 is licensed under the LLAMA 2 Community License, Copyright (c) Meta Platforms, Inc. All Rights Reserved.
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