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SmolVLM2-256M-Video-Instruct-vqav2
jungwonP/SmolVLM2-256M-Video-Instruct-vqav2
SmolVLM2-256M-Video-Instruct-vqav2 is a text generation model from jungwonP. Use it when you need the model to write or continue text. It is set up for peft. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Jan 29, 2026
- Updated
- Jan 29, 2026
- SHA
- 91a5b9af
Try a prompt
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
SmolVLM2-256M-Video-Instruct-vqav2
This model is a fine-tuned version of HuggingFaceTB/SmolVLM2-256M-Video-Instruct on an unknown dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 1
Training results
Framework versions
- PEFT 0.18.1
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.5.0
- Tokenizers 0.22.2
- Task
- Text Generation
- Library
- peft
- License
- apache-2.0
- Created
- Jan 29, 2026
- Updated
- Jan 29, 2026