Instructions to use swadeshb/Llama-3.2-3B-Instruct-TRACE_GRPO-V15 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-TRACE_GRPO-V15 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("swadeshb/Llama-3.2-3B-Instruct-TRACE_GRPO-V15", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 725bdd58ea6e9a8cdc2069b3a23c09a3e3310f0f6395e19c566c1c11de4385e2
- Size of remote file:
- 17.2 MB
- SHA256:
- 65ff5472d095ccd9332d9e723153d7bc7226cb6be9c1bffda738b5ba2e71bf26
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