brave-torch 4.7.9

Swarms - Pytorch

BRAVE or Swarms of Vision Transformers

Implementation of the paper: "BRAVE : Broadening the visual encoding of vision-language models". BRAVE achieves state-of-the-art performance on a broad range of captioning and VQA benchmarks and significantly reduces the aforementioned issues of VLMs, while requiring a smaller number of trainable parameters than existing methods and having a more compressed representation.

install

pip3 install brave-torch

usage

import torch
from brave_torch.main import SwarmOfViTs

# IMG Tensor
x = torch.randn(1, 3, 224, 224) 

# Model
model = SwarmOfViTs(
    image_size=224,
    patch_size=32,
    encoder_dim=512,
    encoder_depth=6,
    encoder_heads=8,
    num_of_vits=4
)

# Forward
out = model(x)
print(out)

Citations

Todo

• Citation link
• Citation Bibtex
• Diagram photo
• Implement Andromeda Base LLM architecture
• Provide multi-modal tokenizer
• Train and release the model