Instructions to use ChrisColeTech/scenema-audio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use ChrisColeTech/scenema-audio 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 ChrisColeTech/scenema-audio:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf ChrisColeTech/scenema-audio:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf ChrisColeTech/scenema-audio:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf ChrisColeTech/scenema-audio: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 ChrisColeTech/scenema-audio:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf ChrisColeTech/scenema-audio: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 ChrisColeTech/scenema-audio:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf ChrisColeTech/scenema-audio:Q4_K_M

Use Docker

docker model run hf.co/ChrisColeTech/scenema-audio:Q4_K_M

LM Studio
Jan
Ollama
How to use ChrisColeTech/scenema-audio with Ollama:
```
ollama run hf.co/ChrisColeTech/scenema-audio:Q4_K_M
```

Unsloth Studio

How to use ChrisColeTech/scenema-audio 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 ChrisColeTech/scenema-audio 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 ChrisColeTech/scenema-audio to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for ChrisColeTech/scenema-audio to start chatting

Docker Model Runner
How to use ChrisColeTech/scenema-audio with Docker Model Runner:
```
docker model run hf.co/ChrisColeTech/scenema-audio:Q4_K_M
```

Lemonade

How to use ChrisColeTech/scenema-audio with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull ChrisColeTech/scenema-audio:Q4_K_M

Run and chat with the model

lemonade run user.scenema-audio-Q4_K_M

List all available models

lemonade list

Atomic Chat

Scenema Audio

Sample Audio - Honey Buns (30s)

~3.3 min on an RTX 5090 (32 GB)

Components used to generate

Component	File	~Size	Download
Transformer	`scenema-audio-transformer-int8.safetensors`	4.91 GB	Link
Text Encoder	`gemma-3-12b-it-Q4_K_M.gguf`	7.3 GB	Link
Audio Pipeline VAE	`scenema-audio-pipeline.safetensors`	6.71 GB	Link
Audio Encoder VAE	`scenema-audio-vae-encoder.safetensors`	42.7 MB	Link
Extras folder	`scenema-audio/extras`	2.3 GB	Link