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smolvlm-trl-dpo
emretmrk/smolvlm-trl-dpo
smolvlm-trl-dpo is a machine learning model from emretmrk. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
This model was trained with DPO using the ChartQA dataset.
Access
Public
Updated Aug 4, 2025
Repo size
949 MB
Likes
1
Public
Repo makeup
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.safetensors45.2 MB · 90%
At a glance
- Library
- transformers
- Access
- Public
- Created
- Aug 2, 2025
- Updated
- Aug 4, 2025
- SHA
- 226f16fe
Base models
Datasets
Model card
From the Hugging Face model README
Model Card for smolvlm-trl-dpo
This model was trained with DPO using the ChartQA dataset.
Quick start
from transformers import pipeline
question = "Provide an intricate description of every entity in the image."
generator = pipeline("text-generation", model="emretmrk/smolvlm-trl-dpo", device="cuda")
output = generator([{"role": "user", "content": question}], max_new_tokens=1024, return_full_text=False)[0]
print(output["generated_text"])
Training procedure
This model was trained with DPO using the ChartQA dataset.
Framework versions
- TRL: 0.20.0
- Transformers: 4.54.1
- Pytorch: 2.6.0+cu124
- Datasets: 4.0.0
- Tokenizers: 0.21.2
- Library
- transformers
- Created
- Aug 2, 2025
- Updated
- Aug 4, 2025