PEFT
TensorBoard
Safetensors
phi3
trl
sft
Generated from Trainer
custom_code
4-bit precision
bitsandbytes
Instructions to use dhanishetty/phi-3-mini-QLoRA_Adapters with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dhanishetty/phi-3-mini-QLoRA_Adapters with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3-mini-4k-instruct") model = PeftModel.from_pretrained(base_model, "dhanishetty/phi-3-mini-QLoRA_Adapters") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from dhanishetty/phi-3-mini-QLoRA_Adapters: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/dhanishetty/phi-3-mini-QLoRA_Adapters/resolve/main/training_args.bin
- Command line
-
hf download hf://dhanishetty/phi-3-mini-QLoRA_Adapters/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/dhanishetty/phi-3-mini-QLoRA_Adapters/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- adb10aca710eff5c418bc5d48dfcc9a347ffbfbbb2f7307bd326dfe5db0c4502
- Size of remote file:
- 5.37 kB
- SHA256:
- 38c50271ca31dbd8b84c58f098d7a5642847b15283310073ea41161f904f48b6
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