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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Lacking vllm support for Transformers v5, frustrating only me?
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13 days ago
I'm thrilled to share our new paper, "FinForge: Semi-Synthetic Financial Benchmark Generation" in AI4Finance, AAAI'26!
Key Contributions:
- FinForge Framework: A hybrid pipeline integrating manual/programmatic corpus construction with rigorous LM-based synthesis.
- FinForge-5k Dataset: A new snapshot benchmark comprising over 5,000 human-validated Q&A pairs across 11 financial subdomains, derived from a curated corpus of 100,000 verified documents (143M tokens).
- Benchmarking Results: Evaluation of state-of-the-art open and closed-source models reveals significant variance in financial reasoning capabilities, with leading models achieving approximately 80% accuracy.
Huge thanks to my co-authors @glennmatlin , Anant Gupta, Anirudh JM, Rayan Castilla, and Yi Mei Ng for this collaboration.
You can read the paper: https://huggingface.co/papers/2601.06747
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 • 71 • 8 -
Akhil-Theerthala/PersonalFinance_v2
Viewer • Updated • 7.04k • 68 • 26 -
Akhil-Theerthala/PersonalFinance-CoTR-5K
Viewer • Updated • 5.02k • 53 • 1 -
Akhil-Theerthala/PersonalFinance-CoTR-V2-Compact
Viewer • Updated • 1.19k • 10 • 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
Image-to-Text • 4B • Updated • 1 -
Akhil-Theerthala/kuvera-12B-v0.2.0-unsloth-gemma3
Image-to-Text • 12B • Updated • 1 -
Akhil-Theerthala/Kuvera-PersonalFinance-V2.1
Viewer • Updated • 18.8k • 30 • 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
Image-to-Text • 4B • Updated • 1 -
Akhil-Theerthala/kuvera-12B-v0.2.0-unsloth-gemma3
Image-to-Text • 12B • Updated • 1 -
Akhil-Theerthala/Kuvera-PersonalFinance-V2.1
Viewer • Updated • 18.8k • 30 • 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 • 71 • 8 -
Akhil-Theerthala/PersonalFinance_v2
Viewer • Updated • 7.04k • 68 • 26 -
Akhil-Theerthala/PersonalFinance-CoTR-5K
Viewer • Updated • 5.02k • 53 • 1 -
Akhil-Theerthala/PersonalFinance-CoTR-V2-Compact
Viewer • Updated • 1.19k • 10 • 3