metadata
library_name: peft
license: other
base_model: Qwen/Qwen2-VL-2B
tags:
- llama-factory
- lora
model-index:
- name: qwen2_2b_lora_expert_generalv2-102400
results: []
task_categories:
- visual-question-answering
language:
- en
pretty_name: Domain Expert Datasets
size_categories:
- 100K<n<1M
Linear Model Merging Unlocks Simple and Scalable Multimodal Data Mixture Optimization
This are the domain-specific datasets from the paper: "Linear Model Merging Unlocks Simple and Scalable Multimodal Data Mixture Optimization " (link).
Each dataset contains 102400 VQA samples from a specific domain: General VQA, OCR, Counting & Visual Perception, Chart Understanding.
You can find many models trained on mixtures of these datasets in this Huggingface Collection.
Composition
