Text Generation
PEFT
Safetensors
English
Romanian
gemma3
medical-ai
summarization
diagnostic-reasoning
gemma-3
fine-tuned
conversational
Instructions to use nicoboss/Medra27B-Lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nicoboss/Medra27B-Lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/dpool/gemma-3-27b-it") model = PeftModel.from_pretrained(base_model, "nicoboss/Medra27B-Lora") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-960/optimizer.bin from nicoboss/Medra27B-Lora: direct link, hf CLI and curl.
- Browser
- Download file 3.63 GB
-
https://huggingface.co/nicoboss/Medra27B-Lora/resolve/main/checkpoint-960/optimizer.bin
- Command line
-
hf download hf://nicoboss/Medra27B-Lora/checkpoint-960/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/nicoboss/Medra27B-Lora/resolve/main/checkpoint-960/optimizer.bin
3.63 GB
- Xet hash:
- c40e6705c1dbc0005ba7a54da59107adb29981c7f7dd41671b1de3eef9516d38
- Size of remote file:
- 3.63 GB
- SHA256:
- 868e26596fca570a00a587411db461b6727f5812f6108f729d413cd8a1becae1
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