--- license: mit base_model: unsloth/Mistral-7B-Instruct-v0.2 tags: - crisis-response - emergency - fine-tuned - lora - ai-emergency-kit - emergency-assistant datasets: - ianktoo/crisis-response-training --- # AI Emergency Kit - crisis-agent-v1 **AI Emergency Kit** - Your intelligent crisis response assistant. Fine-tuned Mistral-7B model that provides structured, actionable guidance during emergency situations. ## Model Details - **Base Model**: unsloth/Mistral-7B-Instruct-v0.2 - **Fine-tuning Method**: LoRA (Low-Rank Adaptation) - **Model Type**: merged model - **Training Dataset**: ianktoo/crisis-response-training ## Usage ### Using Unsloth ```python from unsloth import FastLanguageModel model, tokenizer = FastLanguageModel.from_pretrained( "ianktoo/crisis-agent-v1", max_seq_length=2048, dtype=None, load_in_4bit=True, ) # Format prompt prompt = "[INST] Your crisis scenario here [/INST]" inputs = tokenizer(prompt, return_tensors="pt").to(model.device) # Generate response outputs = model.generate(**inputs, max_new_tokens=512, temperature=0.7) response = tokenizer.decode(outputs[0], skip_special_tokens=True) ``` ### Using Transformers ```python from transformers import AutoModelForCausalLM, AutoTokenizer model = AutoModelForCausalLM.from_pretrained("ianktoo/crisis-agent-v1") tokenizer = AutoTokenizer.from_pretrained("ianktoo/crisis-agent-v1") # Use model for inference ``` ## About AI Emergency Kit **AI Emergency Kit** is designed to be your reliable AI companion during crisis situations. It provides structured, JSON-formatted responses with actionable guidance, resource recommendations, and step-by-step instructions to help navigate emergency scenarios. ## Training Details This model was fine-tuned using the crisis-agent fine-tuning pipeline to create the **AI Emergency Kit**. ## Limitations - Model is trained on synthetic crisis scenarios - Responses should be validated by human experts - Not intended for real-time emergency response without human oversight ## Citation If you use this model, please cite: ```bibtex @software{crisis_agent_model, title = {Crisis Agent Model}, author = {Ian Too}, year = {2026}, url = {https://huggingface.co/ianktoo/crisis-agent-v1} } ```