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markoste-clinical-mistral – AI Model by Markolo96 | AlphaNeural AI

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Markolo96/
markoste-clinical-mistral

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0

clinical-decision-support

medication-review

Markolo96/Mistral_DB

mistralai/Mistral-7B-Instruct-v0.1

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💊 Markoste Clinical Mistral (7B)

A pharmacist-optimized large language model fine-tuned on Australian Product Information (PI) Q&A data for clinical medication review support.

🧠 Model Purpose

Markoste Clinical Mistral is fine-tuned to answer medication-specific clinical questions such as:

Dosing adjustments in renal impairment
Contraindications
IV administration instructions
Interactions and precautions
Pharmacokinetic properties
Pregnancy & breastfeeding guidance

🧪 Training

Fine-tuned using LoRA on top of mistralai/Mistral-7B-Instruct-v0.1 with Q&A pairs derived from structured TGA PI documents.

⚙️ Example Usage

python

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("Markolo96/markoste-clinical-mistral", device_map="auto")
tokenizer = AutoTokenizer.from_pretrained("Markolo96/markoste-clinical-mistral")

prompt = "<|user|>\nWhat are the indications for erythromycin lactobionate?\n<|assistant|>"
inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
outputs = model.generate(**inputs, max_new_tokens=256)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))