Instructions to use skywolf46/ignition-singularity-prototype with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use skywolf46/ignition-singularity-prototype 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 skywolf46/ignition-singularity-prototype
# Run inference directly in the terminal:
llama cli -hf skywolf46/ignition-singularity-prototype

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf skywolf46/ignition-singularity-prototype
# Run inference directly in the terminal:
llama cli -hf skywolf46/ignition-singularity-prototype

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 skywolf46/ignition-singularity-prototype
# Run inference directly in the terminal:
./llama-cli -hf skywolf46/ignition-singularity-prototype

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 skywolf46/ignition-singularity-prototype
# Run inference directly in the terminal:
./build/bin/llama-cli -hf skywolf46/ignition-singularity-prototype

Use Docker

docker model run hf.co/skywolf46/ignition-singularity-prototype

LM Studio
Jan
Ollama
How to use skywolf46/ignition-singularity-prototype with Ollama:
```
ollama run hf.co/skywolf46/ignition-singularity-prototype
```

Unsloth Studio

How to use skywolf46/ignition-singularity-prototype 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 skywolf46/ignition-singularity-prototype 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 skywolf46/ignition-singularity-prototype to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for skywolf46/ignition-singularity-prototype to start chatting

Docker Model Runner
How to use skywolf46/ignition-singularity-prototype with Docker Model Runner:
```
docker model run hf.co/skywolf46/ignition-singularity-prototype
```

Lemonade

How to use skywolf46/ignition-singularity-prototype with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull skywolf46/ignition-singularity-prototype

Run and chat with the model

lemonade run user.ignition-singularity-prototype-{{QUANT_TAG}}

List all available models

lemonade list

Atomic Chat

Ignition Singularity

발화 특이점 프로젝트는 AI의 컨텍스트 보조를 위해 최대한 원본의 감정과 느낌을 되살릴 수 있도록 프롬프트를 압축을 시도하는 생성형 모델 프로젝트입니다.

학습 정보

발화 특이점 프로젝트는 6GB 가량의 ShareGPT와 CC0, 혹은 저작권이 만료된 고전 소설 데이터를 Qwen 3.8 27B 및 Gemma 4 31B를 통해 정제하고, 분류한 데이터셋을 통해 학습되었습니다.

이 정보는 변경될 수 있으며, 팀에서 계속하여 조건을 바꿔 학습을 시도하고 있습니다.

해당 레포지토리는 작동하는 프로토타입만이 공개되어 있습니다.

사용 방법

발화 특이점 프로토타입 모델은 Qwen 3.5 4B 모델을 기반으로 파인 튜닝하였습니다.

성능이 크게 좋지는 않으나, 정제된 고전 소설을 통한 파인 튜닝을 진행한 작은 모델에 대해 교차 검증, 혹은 실험이 필요한 경우 나쁘지 않은 선택지가 될 수 있습니다.

이 프로젝트는 IGX 팀에서 진행하는 발화 특이점 프로젝트의 일부입니다.

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Model size

4B params

Architecture

qwen35

Hardware compatibility

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