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
CQoT_SFT_merged_16bit_lora-Llama-3.2-3B-Instruct-v.DR-GRPO_7.7 / last-checkpoint /adapter_model.safetensors
- Xet hash:
- ee7b99bde6c72c25a6f7ed5fc5ff12ddb6a5b48d0e6fc105bae57a49a01add3b
- Size of remote file:
- 195 MB
- SHA256:
- 1402844c18aeb9c024b30f9f23a9c32c507ea60a64defb20c169a2539f9385d1
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