Instructions to use globalyako/swallowv2-8b-ft-jp-r64_grpo_sft_dataset3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use globalyako/swallowv2-8b-ft-jp-r64_grpo_sft_dataset3 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("globalyako/swallowv2-8b-ft-jp-r64_grpo_sft_dataset3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Uploaded model
- Developed by: globalyako
- License: apache-2.0
- Finetuned from model : globalyako/swallowv2-8b-gropo_merge3
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
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Base model
globalyako/swallowv2-8b-gropo_merge3