Instructions to use swadeshb/Llama-3.2-3B-Instruct-DR_GRPO-V2_NI-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use swadeshb/Llama-3.2-3B-Instruct-DR_GRPO-V2_NI-4 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("swadeshb/Llama-3.2-3B-Instruct-DR_GRPO-V2_NI-4", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1f44c310396bae7217fb9fcd0c4c42f5713b401c71b694b91266093ae63bb5ab
- Size of remote file:
- 97.3 MB
- SHA256:
- c1aa28e3a80c7e32414194e282c8763927dee76c2b2fcdd5189aada484dfe60a
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