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:
- 7b2f3c2d6466b7c41bf5452e2178e8c897809d2dbe97e3f607e870cf750a2518
- Size of remote file:
- 14.6 kB
- SHA256:
- 055ac3c369a5e930fe04e9758176075cca45da315a2b1d5fc770be3582b8afee
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