Instructions to use Saraswathy/vlm-cap-perception-step80-resume with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Saraswathy/vlm-cap-perception-step80-resume with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
ViRL capability_perception EasyR1 resume checkpoint
This public artifact is a complete 1-rank training-resume checkpoint at
global step 80. It contains FSDP model and optimizer shards,
extra state, dataloader state, tokenizer/processor files, and the evaluation-
ready LoRA adapter under actor/lora_adapter/.
It is not a standalone merged model. Use Qwen/Qwen3-VL-4B-Instruct as the
base model. The uploaded SHA256SUMS.json records every checkpoint file and
must be verified before resuming training.
The run was intentionally unfinished at upload time and is being continued to
step 100. Training configuration and resume launcher are included under
provenance/.
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Base model
Qwen/Qwen3-VL-4B-Instruct