Instructions to use Fischerboot/thinking-3b-cp-10smth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Fischerboot/thinking-3b-cp-10smth with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("alpindale/Llama-3.2-3B-Instruct") model = PeftModel.from_pretrained(base_model, "Fischerboot/thinking-3b-cp-10smth") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from Fischerboot/thinking-3b-cp-10smth: direct link, hf CLI and curl.
- Browser
- Download file 97.9 MB
-
https://huggingface.co/Fischerboot/thinking-3b-cp-10smth/resolve/main/optimizer.pt
- Command line
-
hf download hf://Fischerboot/thinking-3b-cp-10smth/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Fischerboot/thinking-3b-cp-10smth/resolve/main/optimizer.pt
97.9 MB
- Xet hash:
- 651e4800c8b9ffc62a434858ad27fdba54e3086321aa0bf4cd8f6c410ff64630
- Size of remote file:
- 97.9 MB
- SHA256:
- 6a9344d1d1e7f55d8dc333d0b2f6e5d15f971df56803af2aa252fc30a73666ab
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