Instructions to use merve/qwen3vl-2b-dpo-rlaif-1pct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use merve/qwen3vl-2b-dpo-rlaif-1pct with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("merve/qwen3vl-2b-dpo-rlaif-1pct", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 141
Browse files- adapter_config.json +2 -2
- adapter_model.safetensors +1 -1
- training_args.bin +1 -1
adapter_config.json
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"target_modules": [
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"target_parameters": null,
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"task_type": "CAUSAL_LM",
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"revision": null,
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"target_modules": [
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"target_parameters": null,
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"task_type": "CAUSAL_LM",
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adapter_model.safetensors
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oid sha256:437ffe49c98c9a5b7259006ddad10c9fa6d0dae4d6961a60d16af4284d0129b3
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training_args.bin
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size 6865
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