Instructions to use ianktoo/crisis-agent-v2-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

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

GGUF

Model size

7B params

Architecture

llama

Hardware compatibility

4-bit

Inference Providers NEW

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