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llmagent4incident-response – AI Model by GYR1-determine | AlphaNeural AI

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GYR1-determine/
llmagent4incident-response

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incident-response

text-generation

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

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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

python

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)