Instructions to use NIKHILPATEL00212/vitaGridProtocol with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use NIKHILPATEL00212/vitaGridProtocol with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "NIKHILPATEL00212/vitaGridProtocol") - Notebooks
- Google Colab
- Kaggle
VitaGrid GOV - Sovereign Protocol & Logistics Reasoning Adapter
LoRA fine-tuned adapter weights for the VitaGrid GOV Autonomous Health Intelligence & Logistics Swarm.
Model Specifications
- Base Architecture:
meta-llama/Llama-3.1-8B-Instruct - Adapter Type: LoRA (4-bit QLoRA)
- Target Modules:
q_proj,k_proj,v_proj,o_proj,gate_proj,up_proj,down_proj - LoRA Rank (r): 16 | Alpha: 32 | Dropout: 0.05
- Accuracy / F1: 94.7% F1 / 0.965 ROC-AUC on WHO Essential Drug List protocols
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Model tree for NIKHILPATEL00212/vitaGridProtocol
Base model
meta-llama/Llama-3.1-8B Finetuned
meta-llama/Llama-3.1-8B-Instruct