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 rng_state.pth from Infernaught/phi_countdown_n100_mcl_256_quantized: direct link, hf CLI and curl.
- Browser
- Download file 14.2 kB
-
https://huggingface.co/Infernaught/phi_countdown_n100_mcl_256_quantized/resolve/bc7c8538e289d3e4ee83e972ca7b79b010a6734f/rng_state.pth
- Command line
-
hf download hf://Infernaught/phi_countdown_n100_mcl_256_quantized@bc7c8538e289d3e4ee83e972ca7b79b010a6734f/rng_state.pth
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curl -L -o rng_state.pth https://huggingface.co/Infernaught/phi_countdown_n100_mcl_256_quantized/resolve/bc7c8538e289d3e4ee83e972ca7b79b010a6734f/rng_state.pth
14.2 kB
- Xet hash:
- 131fe17d498f3369e136ace6ed3e243b41b420e5a0edbea5aa5ba3672dee043e
- Size of remote file:
- 14.2 kB
- SHA256:
- 0c9a05d4e1eeb60a5ac9cde6a7321e3cbfe720965cc2b17701755f1df6ca5e35
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