🦷 doctor-dental-implant-LoRA-Qwen2.5-7B-Instruct

This is a LoRA adapter fine-tuned with Unsloth on a domain-specific dataset that combines:

• Realistic doctor–patient conversations
• Dental implant Q&A extracted from Straumann® technical manuals

🔬 Designed to make Qwen2.5-7B-Instruct capable of answering both general health questions and dental-specific scenarios.

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🧠 Base Model

• Base: Qwen/Qwen2.5-VL-7B-Instruct
• Adapter: LoRA (PEFT-based)

This repo contains only the LoRA adapter weights, not the full model.

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🗂 Files

File	Purpose
adapter_model.safetensors	LoRA weight file (for PEFT loading)
adapter_config.json	LoRA hyperparameter configuration
tokenizer.json, vocab.json, merges.txt	Tokenizer (shared with base model)

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📦 How to Use

from transformers import AutoTokenizer, AutoModelForCausalLM
from peft import PeftModel

# Load base model
base = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-VL-7B-Instruct", trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen2.5-VL-7B-Instruct", trust_remote_code=True)

# Load adapter
model = PeftModel.from_pretrained(base, "BirdieByte1024/doctor-dental-implant-LoRA-Qwen2.5-7B-Instruct")