Instructions to use VISHNUDHAT/mus-medical-llm-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VISHNUDHAT/mus-medical-llm-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/mistral-7b-bnb-4bit") model = PeftModel.from_pretrained(base_model, "VISHNUDHAT/mus-medical-llm-lora") - Notebooks
- Google Colab
- Kaggle
CAMUS Medical LLM (LoRA)
Fine-tuned on synthetic cardiac ultrasound descriptions from the CAMUS dataset.
Model type
- Base: Mistral 7B (4-bit)
- Fine-tuning: LoRA (PEFT)
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel
base = "unsloth/mistral-7b-bnb-4bit"
model = AutoModelForCausalLM.from_pretrained(base, load_in_4bit=True)
model = PeftModel.from_pretrained(model, "VISHNUDHAT/mus-medical-llm-lora")
tokenizer = AutoTokenizer.from_pretrained("VISHNUDHAT/mus-medical-llm-lora")
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