GYR1-determine/llmagent4incident-response

LLM Agent for Incident Response

This repository contains the LoRA adapter weights of a language model fine-tuned for incident-response planning and recovery-action generation.

Base Model

This adapter must be loaded on top of:

`deepseek-ai/DeepSeek-R1-Distill-Qwen-14B`

Adapter Details

• —Fine-tuning method: LoRA
• —Task type: Causal language modeling
• —LoRA rank: 64
• —LoRA alpha: 128
• —LoRA dropout: 0.05
• —Target modules: q_proj, v_proj
• —Released checkpoint: 850

Repository Files

• —adapter_model.safetensors: LoRA adapter weights
• —adapter_config.json: LoRA adapter configuration
• —README.md: model documentation

Usage

from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel

base_model_name = "deepseek-ai/DeepSeek-R1-Distill-Qwen-14B"
adapter_name = "GYR1-determine/llmagent4incident-response"

tokenizer = AutoTokenizer.from_pretrained(base_model_name)

base_model = AutoModelForCausalLM.from_pretrained(
    base_model_name,
    device_map="auto",
)

model = PeftModel.from_pretrained(base_model, adapter_name)