Instructions to use ianktoo/crisis-agent-v2-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use ianktoo/crisis-agent-v2-gguf with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="ianktoo/crisis-agent-v2-gguf", filename="crisis-agent-q4_k_m-20260210.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use ianktoo/crisis-agent-v2-gguf with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf ianktoo/crisis-agent-v2-gguf:Q4_K_M # Run inference directly in the terminal: llama-cli -hf ianktoo/crisis-agent-v2-gguf:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf ianktoo/crisis-agent-v2-gguf:Q4_K_M # Run inference directly in the terminal: llama-cli -hf ianktoo/crisis-agent-v2-gguf:Q4_K_M
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf ianktoo/crisis-agent-v2-gguf:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf ianktoo/crisis-agent-v2-gguf:Q4_K_M
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf ianktoo/crisis-agent-v2-gguf:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf ianktoo/crisis-agent-v2-gguf:Q4_K_M
Use Docker
docker model run hf.co/ianktoo/crisis-agent-v2-gguf:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use ianktoo/crisis-agent-v2-gguf with Ollama:
ollama run hf.co/ianktoo/crisis-agent-v2-gguf:Q4_K_M
- Unsloth Studio new
How to use ianktoo/crisis-agent-v2-gguf with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for ianktoo/crisis-agent-v2-gguf to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for ianktoo/crisis-agent-v2-gguf to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for ianktoo/crisis-agent-v2-gguf to start chatting
- Docker Model Runner
How to use ianktoo/crisis-agent-v2-gguf with Docker Model Runner:
docker model run hf.co/ianktoo/crisis-agent-v2-gguf:Q4_K_M
- Lemonade
How to use ianktoo/crisis-agent-v2-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull ianktoo/crisis-agent-v2-gguf:Q4_K_M
Run and chat with the model
lemonade run user.crisis-agent-v2-gguf-Q4_K_M
List all available models
lemonade list
AI Emergency Kit - GGUF Model
AI Emergency Kit - Your intelligent crisis response assistant. Fine-tuned Mistral-7B model in GGUF format for efficient local deployment.
Model Details
- Base Model: unsloth/Mistral-7B-Instruct-v0.2
- Format: GGUF (Float16)
- File: crisis-agent-q4_k_m-20260210.gguf
- File Size: 4.07 GB
Usage
Using llama.cpp
# Download the model
git lfs install
git clone https://huggingface.co/ianktoo/crisis-agent-v2-gguf
# Run inference
./llama-cli -m crisis-agent-q4_k_m-20260210.gguf -p "Your prompt here"
Using LM Studio
- Download the GGUF file from this repository
- Import into LM Studio
- Load and chat!
Using Ollama
# Create Modelfile
cat > Modelfile << EOF
FROM crisis-agent-q4_k_m-20260210.gguf
PARAMETER temperature 0.7
PARAMETER top_p 0.9
EOF
# Create model
ollama create crisis-agent -f Modelfile
# Run
ollama run crisis-agent
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.
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
- Downloads last month
- 7
Hardware compatibility
Log In to add your hardware
4-bit
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐ Ask for provider support