Instructions to use DavidAU/Psyonic-Cetacean-MythoMax-Prose-Crazy-Ultra-Quality-29B-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 DavidAU/Psyonic-Cetacean-MythoMax-Prose-Crazy-Ultra-Quality-29B-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 DavidAU/Psyonic-Cetacean-MythoMax-Prose-Crazy-Ultra-Quality-29B-GGUF:IQ4_XS
# Run inference directly in the terminal:
llama cli -hf DavidAU/Psyonic-Cetacean-MythoMax-Prose-Crazy-Ultra-Quality-29B-GGUF:IQ4_XS

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf DavidAU/Psyonic-Cetacean-MythoMax-Prose-Crazy-Ultra-Quality-29B-GGUF:IQ4_XS
# Run inference directly in the terminal:
llama cli -hf DavidAU/Psyonic-Cetacean-MythoMax-Prose-Crazy-Ultra-Quality-29B-GGUF:IQ4_XS

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 DavidAU/Psyonic-Cetacean-MythoMax-Prose-Crazy-Ultra-Quality-29B-GGUF:IQ4_XS
# Run inference directly in the terminal:
./llama-cli -hf DavidAU/Psyonic-Cetacean-MythoMax-Prose-Crazy-Ultra-Quality-29B-GGUF:IQ4_XS

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 DavidAU/Psyonic-Cetacean-MythoMax-Prose-Crazy-Ultra-Quality-29B-GGUF:IQ4_XS
# Run inference directly in the terminal:
./build/bin/llama-cli -hf DavidAU/Psyonic-Cetacean-MythoMax-Prose-Crazy-Ultra-Quality-29B-GGUF:IQ4_XS

Use Docker

docker model run hf.co/DavidAU/Psyonic-Cetacean-MythoMax-Prose-Crazy-Ultra-Quality-29B-GGUF:IQ4_XS

LM Studio
Jan

vLLM

How to use DavidAU/Psyonic-Cetacean-MythoMax-Prose-Crazy-Ultra-Quality-29B-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "DavidAU/Psyonic-Cetacean-MythoMax-Prose-Crazy-Ultra-Quality-29B-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "DavidAU/Psyonic-Cetacean-MythoMax-Prose-Crazy-Ultra-Quality-29B-GGUF",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/DavidAU/Psyonic-Cetacean-MythoMax-Prose-Crazy-Ultra-Quality-29B-GGUF:IQ4_XS

Ollama
How to use DavidAU/Psyonic-Cetacean-MythoMax-Prose-Crazy-Ultra-Quality-29B-GGUF with Ollama:
```
ollama run hf.co/DavidAU/Psyonic-Cetacean-MythoMax-Prose-Crazy-Ultra-Quality-29B-GGUF:IQ4_XS
```

Unsloth Studio

How to use DavidAU/Psyonic-Cetacean-MythoMax-Prose-Crazy-Ultra-Quality-29B-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 DavidAU/Psyonic-Cetacean-MythoMax-Prose-Crazy-Ultra-Quality-29B-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 DavidAU/Psyonic-Cetacean-MythoMax-Prose-Crazy-Ultra-Quality-29B-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for DavidAU/Psyonic-Cetacean-MythoMax-Prose-Crazy-Ultra-Quality-29B-GGUF to start chatting

Docker Model Runner
How to use DavidAU/Psyonic-Cetacean-MythoMax-Prose-Crazy-Ultra-Quality-29B-GGUF with Docker Model Runner:
```
docker model run hf.co/DavidAU/Psyonic-Cetacean-MythoMax-Prose-Crazy-Ultra-Quality-29B-GGUF:IQ4_XS
```

Lemonade

How to use DavidAU/Psyonic-Cetacean-MythoMax-Prose-Crazy-Ultra-Quality-29B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull DavidAU/Psyonic-Cetacean-MythoMax-Prose-Crazy-Ultra-Quality-29B-GGUF:IQ4_XS

Run and chat with the model

lemonade run user.Psyonic-Cetacean-MythoMax-Prose-Crazy-Ultra-Quality-29B-GGUF-IQ4_XS

List all available models

lemonade list

Atomic Chat

Uh, not sure if im trying to use this wrong, but it seems to use so much RAM that my system just freezes

by question2005 - opened Jun 27, 2025

Discussion

question2005

Jun 27, 2025

So i downloaded this to try and write stories, and upon loading the model in LM studio, it starts using an absurd amount of RAM and doesnt try to stop. LM studio shows it starts using 14+gb of RAM. I have 32GB of RAM but my system starts freezing when too much is used.

Am i doing something wrong? I cant even enter a prompt because merely loading the model causes my RAM usage to spike to crazy levels.

DavidAU

Owner Jun 28, 2025

This model uses Llama 2- a much older arch, and uses a lot of ram/vram + a lot of ram/Vram for context too.

If you are looking for CPU based models (that is you can run on CPU with good speed) ;
You need 1B to 14B at the most - Llama 3, 3.1, Qwens, Gemmas etc etc.

Dark Planet 8B is a good one.

You can also use MOE models too - as only a fraction of the model is active.

Dark Champion - Llama 3.2 Moe I built.
https://huggingface.co/DavidAU/Llama-3.2-8X3B-MOE-Dark-Champion-Instruct-uncensored-abliterated-18.4B-GGUF

See Qwen 30B-A3B -> this is very fast, even on CPU, and low memory foot print.

You can also visit the main repo page:
https://huggingface.co/DavidAU/

Models are categorized here + you can search the entire repo here too.

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