Instructions to use fc91/CQoT_SFT_merged_16bit_lora-Llama-3.2-3B-Instruct-v.DR-GRPO_7.7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fc91/CQoT_SFT_merged_16bit_lora-Llama-3.2-3B-Instruct-v.DR-GRPO_7.7 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fc91/CQoT_SFT_merged_16bit_lora-Llama-3.2-3B-Instruct-v.DR-GRPO_7.7", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- feeb32ee9c5bf84f72b350b47a8ce82a80fd7c867a18760d304275049b512b6c
- Size of remote file:
- 7.25 kB
- SHA256:
- 4e9d7057f6b989f2d164f0e5aa7dd0fb282e67c2ad8b63d2c28c99117b57e3f3
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