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:
- 68c8aba0982ae92ee2650f9356cc083100ab870a9e33ff6aa5e653ccafc975d8
- Size of remote file:
- 7.12 kB
- SHA256:
- f19329412f18b0712fbac8a2c33a7db809328f097f64205568355eb71edf25b3
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