Instructions to use swadeshb/Llama-3.2-3B-Instruct-TRACE_GRPO-V16 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-V16 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("swadeshb/Llama-3.2-3B-Instruct-TRACE_GRPO-V16", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9e57c6bdc99a107b88b74299a6d1d11253e8569df06f3a700f62ebdffa109d34
- Size of remote file:
- 97.3 MB
- SHA256:
- dba719b7941fb65a469d7cc8b981f5c6de7e77791339172852276611356ecb18
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