Instructions to use Johnohhh1/darren-7b-complete with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Johnohhh1/darren-7b-complete with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf Johnohhh1/darren-7b-complete:Q6_K # Run inference directly in the terminal: llama cli -hf Johnohhh1/darren-7b-complete:Q6_K
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Johnohhh1/darren-7b-complete:Q6_K # Run inference directly in the terminal: llama cli -hf Johnohhh1/darren-7b-complete:Q6_K
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 Johnohhh1/darren-7b-complete:Q6_K # Run inference directly in the terminal: ./llama-cli -hf Johnohhh1/darren-7b-complete:Q6_K
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 Johnohhh1/darren-7b-complete:Q6_K # Run inference directly in the terminal: ./build/bin/llama-cli -hf Johnohhh1/darren-7b-complete:Q6_K
Use Docker
docker model run hf.co/Johnohhh1/darren-7b-complete:Q6_K
- LM Studio
- Jan
- Ollama
How to use Johnohhh1/darren-7b-complete with Ollama:
ollama run hf.co/Johnohhh1/darren-7b-complete:Q6_K
- Unsloth Desktop
- Docker Model Runner
How to use Johnohhh1/darren-7b-complete with Docker Model Runner:
docker model run hf.co/Johnohhh1/darren-7b-complete:Q6_K
- Lemonade
How to use Johnohhh1/darren-7b-complete with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Johnohhh1/darren-7b-complete:Q6_K
Run and chat with the model
lemonade run user.darren-7b-complete-Q6_K
List all available models
lemonade list
- Atomic Chat
DARREN-7B-Complete (GGUF)
This is the GGUF quantized version of DARREN-7B, the tactical emergency AI assistant for fireground operations, hazmat, and real-time response.
Trained on:
- Full MIPHEROv2 + REETEO frameworks
- NIOSH chemical hazard database
- Real fireground incident transcripts
- Expert tactical validation overlays
Format: GGUF (llama.cpp compatible)
Quant: Q6_K
Prompt Format: [INST]...[/INST] with prepended SYSTEM message
- Downloads last month
- 17
Hardware compatibility
Log In to add your hardware
6-bit
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐ Ask for provider support