Instructions to use Infernaught/phi_countdown_n25_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_n25_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_n25_mcl_256_quantized") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from Infernaught/phi_countdown_n25_mcl_256_quantized: direct link, hf CLI and curl.
- Browser
- Download file 25.2 MB
-
https://huggingface.co/Infernaught/phi_countdown_n25_mcl_256_quantized/resolve/64ccf53418543104d63bbf5e4d9d0d8c8c64e96d/optimizer.pt
- Command line
-
hf download hf://Infernaught/phi_countdown_n25_mcl_256_quantized@64ccf53418543104d63bbf5e4d9d0d8c8c64e96d/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Infernaught/phi_countdown_n25_mcl_256_quantized/resolve/64ccf53418543104d63bbf5e4d9d0d8c8c64e96d/optimizer.pt
25.2 MB
- Xet hash:
- bb1a3f7f87184fd5a8265b5a4c0124e85a0c7be2612ebcbbcdb0afd3abb9cc07
- Size of remote file:
- 25.2 MB
- SHA256:
- c0b81cf56345983bc9ed8b598b48fed4fe23b965c4cb4bfc64b2fe75b0991dc6
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