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22 Open 5 Closed
22 Open 5 Closed
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Issues list

What is the number of visual tokens?
#28 opened Nov 18, 2024 by mu-cai
1
Some weights of AdaptCLIPVisionModel were not initialized from the model checkpoint at openai/clip-vit-large-patch14-336 and are newly initialized
#27 opened Sep 26, 2024 by mzamini92
3
How to evaluate your LLaVA-UHD model?
#26 opened Jun 7, 2024 by Gaffey
The Vicuna LLM is not frozen during pretraining
#24 opened May 9, 2024 by ZJULiHongxin
RuntimeError: Given groups=1, weight of size [1024, 3, 14, 14], expected input[12, 15, 336, 336] to have 3 channels, but got 15 channels instead
#23 opened May 4, 2024 by mann1
1
Trained Resample with Siglip Got inconvergence loss
#22 opened Apr 23, 2024 by lucasjinreal
Inconsistent Calculation of Patch Numbers in Image Processing and Encoding
#21 opened Apr 18, 2024 by ziyangliu666
1
Can we get the weights? :)
#20 opened Apr 18, 2024 by mvsoom
About the adaptive size part question
#19 opened Apr 18, 2024 by lucasjinreal
Loss Convergence and whether ViT is Trained
#18 opened Apr 17, 2024 by SuperStacie
batch size matters in training
#17 opened Apr 17, 2024 by WizardMx
Isn't 2048 max lenght would out of context if 6 images put in?
#16 opened Apr 17, 2024 by OpenJarvisAI
[Question] Proof about Range of Slice Aspect Ratios
#15 opened Apr 17, 2024 by JJJYmmm
1
Can I input 2688×672 images?
#14 opened Apr 16, 2024 by mvsoom
Meaning of '8' and '4'
#13 opened Apr 16, 2024 by phellonchen
1
Runtime error
#12 opened Apr 14, 2024 by Zhangjy1998
1
[Question] image_features not matched to input text
#11 opened Apr 8, 2024 by sibosutd
position embedding reshape error
#10 opened Apr 8, 2024 by GaoXiaoshan
2
Weird pre-train loss
#9 opened Mar 23, 2024 by BubvieyKevin
1
a problem configuring the environment：ERROR: llava@ file://
#8 opened Mar 23, 2024 by ShuoZhang2003
3
RuntimeError: Given groups=1, weight of size [1024, 3, 14, 14], expected input[16, 9, 336, 336] to have 3 channels, but got 9 channels instead
#5 opened Mar 21, 2024 by piantic
12
Comparing with LLaVA 1.6 Next
#1 opened Mar 19, 2024 by choyakawa
1
ProTip! Adding no:label will show everything without a label.