Instructions to use karsar/Puligpt3sx_4bit_ALL_67k_r64_3e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use karsar/Puligpt3sx_4bit_ALL_67k_r64_3e with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NYTK/PULI-GPT-3SX") model = PeftModel.from_pretrained(base_model, "karsar/Puligpt3sx_4bit_ALL_67k_r64_3e") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from karsar/Puligpt3sx_4bit_ALL_67k_r64_3e: direct link, hf CLI and curl.
- Browser
- Download file 537 MB
-
https://huggingface.co/karsar/Puligpt3sx_4bit_ALL_67k_r64_3e/resolve/main/adapter_model.bin
- Command line
-
hf download hf://karsar/Puligpt3sx_4bit_ALL_67k_r64_3e/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/karsar/Puligpt3sx_4bit_ALL_67k_r64_3e/resolve/main/adapter_model.bin
537 MB
- Xet hash:
- fa03a8d5eb2105c23a2ede746a87cd0bda2e8a35a46a9c8a27afb53287d670a6
- Size of remote file:
- 537 MB
- SHA256:
- dd3d5177fa4bf6e95ee50ebfd291d04cfbd0a20070ab29569087e2c77893162a
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