Image-Text-to-Text
Transformers
Safetensors
English
internvl_chat
feature-extraction
mathematics
reasoning
multi-modal-qa
math-qa
figure-qa
geometry-qa
math-word-problem
textbook-qa
vqa
geometry-diagram
synthetic-scene
chart
plot
scientific-figure
table
function-plot
abstract-scene
puzzle-test
document-image
science
conversational
custom_code
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README.md
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@@ -22,12 +22,29 @@ We introduce MathCoder-VL, a series of open-source large multimodal models (LMMs
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| [Mini-InternVL-Chat-2B-V1-5](https://huggingface.co/OpenGVLab/Mini-InternVL-Chat-2B-V1-5) | [MathCoder-VL-2B](https://huggingface.co/MathLLMs/MathCoder-VL-2B) |
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| [InternVL2-8B](https://huggingface.co/OpenGVLab/InternVL2-8B) | [MathCoder-VL-8B](https://huggingface.co/MathLLMs/MathCoder-VL-8B)|
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## Usage
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For training and inference code, please refer to [InternVL](https://github.com/OpenGVLab/InternVL).
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## Motivation
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| [Mini-InternVL-Chat-2B-V1-5](https://huggingface.co/OpenGVLab/Mini-InternVL-Chat-2B-V1-5) | [MathCoder-VL-2B](https://huggingface.co/MathLLMs/MathCoder-VL-2B) |
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| [InternVL2-8B](https://huggingface.co/OpenGVLab/InternVL2-8B) | [MathCoder-VL-8B](https://huggingface.co/MathLLMs/MathCoder-VL-8B)|
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| [InternVL2-8B](https://huggingface.co/OpenGVLab/InternVL2-8B) | [FigCodifier-8B](https://huggingface.co/MathLLMs/FigCodifier)|
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## Usage
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For training and inference code, please refer to [InternVL](https://github.com/OpenGVLab/InternVL).
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```
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from datasets import load_dataset
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mm_mathinstruct = load_dataset("MathLLMs/MM-MathInstruct")
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print(mm_mathinstruct)
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```
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It should print:
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```
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DatasetDict({
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train: Dataset({
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features: ['id', 'image', 'question', 'solution', 'image_path'],
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num_rows: 2871988
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})
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})
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```
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## Motivation
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