Instructions to use MarsupialAI/Cydonia-22B-v1_iMat_GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use MarsupialAI/Cydonia-22B-v1_iMat_GGUF 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 MarsupialAI/Cydonia-22B-v1_iMat_GGUF
# Run inference directly in the terminal:
llama cli -hf MarsupialAI/Cydonia-22B-v1_iMat_GGUF

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf MarsupialAI/Cydonia-22B-v1_iMat_GGUF
# Run inference directly in the terminal:
llama cli -hf MarsupialAI/Cydonia-22B-v1_iMat_GGUF

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 MarsupialAI/Cydonia-22B-v1_iMat_GGUF
# Run inference directly in the terminal:
./llama-cli -hf MarsupialAI/Cydonia-22B-v1_iMat_GGUF

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 MarsupialAI/Cydonia-22B-v1_iMat_GGUF
# Run inference directly in the terminal:
./build/bin/llama-cli -hf MarsupialAI/Cydonia-22B-v1_iMat_GGUF

Use Docker

docker model run hf.co/MarsupialAI/Cydonia-22B-v1_iMat_GGUF

LM Studio
Jan
Ollama
How to use MarsupialAI/Cydonia-22B-v1_iMat_GGUF with Ollama:
```
ollama run hf.co/MarsupialAI/Cydonia-22B-v1_iMat_GGUF
```

Unsloth Studio

How to use MarsupialAI/Cydonia-22B-v1_iMat_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 MarsupialAI/Cydonia-22B-v1_iMat_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 MarsupialAI/Cydonia-22B-v1_iMat_GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for MarsupialAI/Cydonia-22B-v1_iMat_GGUF to start chatting

Docker Model Runner
How to use MarsupialAI/Cydonia-22B-v1_iMat_GGUF with Docker Model Runner:
```
docker model run hf.co/MarsupialAI/Cydonia-22B-v1_iMat_GGUF
```

Lemonade

How to use MarsupialAI/Cydonia-22B-v1_iMat_GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull MarsupialAI/Cydonia-22B-v1_iMat_GGUF

Run and chat with the model

lemonade run user.Cydonia-22B-v1_iMat_GGUF-{{QUANT_TAG}}

List all available models

lemonade list

Atomic Chat

Cydonia-22B-v1_iMat_GGUF / Cydonia-22B-v1_iQ2xxs.gguf

MarsupialAI

Upload Cydonia-22B-v1_iQ2xxs.gguf

3d1aca4 verified almost 2 years ago

Download

History Blame GGUF Editor new Delete

6 GB

This file is stored with Xet . It is too big to display, but you can still download it.

Xet Pointer Details

( Raw pointer file )

Xet hash:: 614f2d5d31e823ba083681047826f8318a7f8a6529c7a711ff1b5567a090911f
Size of remote file:: 6 GB
SHA256:: 1674280917bc94661ace4efc598f7a919c44420278d7005745ede2160e81b68f

Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.