The collection contains the artefacts used to do the analysis for the blogpost: Diversity Vs Density: A strategy comparison for fine-tuning VLMs
Akhil Theerthala PRO
Akhil-Theerthala
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updated
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about 11 hours ago
Akhil-Theerthala/DesnityVsDiversity
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article
about 12 hours ago
Diversity Vs Density: A strategy comparison for fine-tuning VLMs
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post
about 12 hours ago
Is it better to show a model too many images once (Diversity), or extract as much information from a small set of images?
I have always wanted to do an ablation study on this and recently I got the chance to do exactly that. Why? In applied domains like robotics, manufacturing, or banking, we rarely have the luxury of internet-scale diverse image datasets. We are often "Data Poor" in terms of diversity but "Data Rich" in depth.
The takeaway? Density is efficient for facts but dangerous for reasoning (logical collapse) if you don't have larger scale data.
More details:
https://huggingface.co/blog/Akhil-Theerthala/diversity-density-for-vision-language-models
Organizations
This collection showcases datasets I have created and models I have specifically trained or fine-tuned for the personal finance domain.
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Akhil-Theerthala/Personal-Finance-Queries
Viewer • Updated • 20k • 84 • 8 -
Akhil-Theerthala/PersonalFinance_v2
Viewer • Updated • 7.04k • 128 • 26 -
Akhil-Theerthala/PersonalFinance-CoTR-5K
Viewer • Updated • 5.02k • 58 • 1 -
Akhil-Theerthala/PersonalFinance-CoTR-V2-Compact
Viewer • Updated • 1.19k • 20 • 3
The third iteration of personal finance advice generation, with dataset generated from streamlined pipelines and models trained on these datasets.
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Akhil-Theerthala/Kuvera-8B-qwen3-v0.2.1
Text Generation • 8B • Updated • 3 • 6 -
Akhil-Theerthala/Kuvera-4B-unsloth-gemma3
Any-to-Any • 4B • Updated • 5 -
Akhil-Theerthala/kuvera-12B-v0.2.0-unsloth-gemma3
Any-to-Any • 12B • Updated • 4 -
Akhil-Theerthala/Kuvera-PersonalFinance-V2.1
Viewer • Updated • 18.8k • 33 • 3
The collection contains the artefacts used to do the analysis for the blogpost: Diversity Vs Density: A strategy comparison for fine-tuning VLMs
The third iteration of personal finance advice generation, with dataset generated from streamlined pipelines and models trained on these datasets.
-
Akhil-Theerthala/Kuvera-8B-qwen3-v0.2.1
Text Generation • 8B • Updated • 3 • 6 -
Akhil-Theerthala/Kuvera-4B-unsloth-gemma3
Any-to-Any • 4B • Updated • 5 -
Akhil-Theerthala/kuvera-12B-v0.2.0-unsloth-gemma3
Any-to-Any • 12B • Updated • 4 -
Akhil-Theerthala/Kuvera-PersonalFinance-V2.1
Viewer • Updated • 18.8k • 33 • 3
This collection showcases datasets I have created and models I have specifically trained or fine-tuned for the personal finance domain.
-
Akhil-Theerthala/Personal-Finance-Queries
Viewer • Updated • 20k • 84 • 8 -
Akhil-Theerthala/PersonalFinance_v2
Viewer • Updated • 7.04k • 128 • 26 -
Akhil-Theerthala/PersonalFinance-CoTR-5K
Viewer • Updated • 5.02k • 58 • 1 -
Akhil-Theerthala/PersonalFinance-CoTR-V2-Compact
Viewer • Updated • 1.19k • 20 • 3