Instructions to use Infernaught/phi_countdown_n100_mcl_256_quantized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Infernaught/phi_countdown_n100_mcl_256_quantized with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3.5-mini-instruct") model = PeftModel.from_pretrained(base_model, "Infernaught/phi_countdown_n100_mcl_256_quantized") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from Infernaught/phi_countdown_n100_mcl_256_quantized: direct link, hf CLI and curl.
- Browser
- Download file 12.6 MB
-
https://huggingface.co/Infernaught/phi_countdown_n100_mcl_256_quantized/resolve/bc7c8538e289d3e4ee83e972ca7b79b010a6734f/adapter_model.safetensors
- Command line
-
hf download hf://Infernaught/phi_countdown_n100_mcl_256_quantized@bc7c8538e289d3e4ee83e972ca7b79b010a6734f/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/Infernaught/phi_countdown_n100_mcl_256_quantized/resolve/bc7c8538e289d3e4ee83e972ca7b79b010a6734f/adapter_model.safetensors
12.6 MB
- Xet hash:
- 469578f325d7d28d1446c9860351867961e6d0e97ad004d9a220d76faf367dfa
- Size of remote file:
- 12.6 MB
- SHA256:
- c7e0768c5f15eb62b02456dccf2ff08214e50828be8cb484397ef09d8dc8b1a7
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