Instructions to use SignalForgeOfficial/mindhaven-models 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 SignalForgeOfficial/mindhaven-models 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 SignalForgeOfficial/mindhaven-models # Run inference directly in the terminal: llama cli -hf SignalForgeOfficial/mindhaven-models
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf SignalForgeOfficial/mindhaven-models # Run inference directly in the terminal: llama cli -hf SignalForgeOfficial/mindhaven-models
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf SignalForgeOfficial/mindhaven-models # Run inference directly in the terminal: ./build/bin/llama cli -hf SignalForgeOfficial/mindhaven-models
Use Docker
docker model run hf.co/SignalForgeOfficial/mindhaven-models
- Llama new
- LM Studio
- Jan
- Ollama
How to use SignalForgeOfficial/mindhaven-models with Ollama:
ollama run hf.co/SignalForgeOfficial/mindhaven-models
- Unsloth Desktop
- Docker Model Runner
How to use SignalForgeOfficial/mindhaven-models with Docker Model Runner:
docker model run hf.co/SignalForgeOfficial/mindhaven-models
- Lemonade
How to use SignalForgeOfficial/mindhaven-models with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull SignalForgeOfficial/mindhaven-models
Run and chat with the model
lemonade run user.mindhaven-models-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
Download model.gguf from SignalForgeOfficial/mindhaven-models: direct link, hf CLI and curl.
- Browser
- Download file 691 MB
-
https://huggingface.co/SignalForgeOfficial/mindhaven-models/resolve/main/model.gguf
- Command line
-
hf download hf://SignalForgeOfficial/mindhaven-models/model.gguf
-
curl -L -o model.gguf https://huggingface.co/SignalForgeOfficial/mindhaven-models/resolve/main/model.gguf
691 MB
- Xet hash:
- b74599dda8af9cafccd265ab7041cc6db7dbf76905e7e202000cb1b6f5153306
- Size of remote file:
- 691 MB
- SHA256:
- b2a8e9b6ad58a1ab44b2dd9d4ab195a8b7a52f5a259932cff13240186665ed40
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.