Instructions to use athirdpath/Aeonis-20b-GGUF 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 athirdpath/Aeonis-20b-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 athirdpath/Aeonis-20b-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf athirdpath/Aeonis-20b-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf athirdpath/Aeonis-20b-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf athirdpath/Aeonis-20b-GGUF: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 athirdpath/Aeonis-20b-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf athirdpath/Aeonis-20b-GGUF: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 athirdpath/Aeonis-20b-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf athirdpath/Aeonis-20b-GGUF:Q4_K_M
Use Docker
docker model run hf.co/athirdpath/Aeonis-20b-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use athirdpath/Aeonis-20b-GGUF with Ollama:
ollama run hf.co/athirdpath/Aeonis-20b-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use athirdpath/Aeonis-20b-GGUF with Docker Model Runner:
docker model run hf.co/athirdpath/Aeonis-20b-GGUF:Q4_K_M
- Lemonade
How to use athirdpath/Aeonis-20b-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull athirdpath/Aeonis-20b-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Aeonis-20b-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Aeonis-20b-GGUF
Based on Mistral NeMo.
Trained with Alpaca prompt formatting, Mistral works

Assistant Examples - 8-bit GGUF
(basic Ooba preset, assistant character, and system prompt)

NSFW Writing Example - 8-bit GGUF
Prompt: "Write a detailed, erotic story about a stripper sleeping with her co-worker"
(basic Ooba preset, assistant character, and system prompt)

Compantionship Chat Example - 8-bit GGUF
Using Goldie, one of the top characters on Chub.ai
(basic Ooba preset and system prompt)

Training Methodology
The model was trained on a variation of TheSkullery/NeMoria-21b, made by finetuning two NeMo models, one for each added “core” (set of repeated layers). One model was overfit to RP data, and the other was overfit to factual data and input analysis. Then the base NeMo was stitched together with the two models, so the repeated portion was one vanilla NeMo core, then the “Virgin” core, then the “Slut” core, a series of layers I like to call the “Whore/Madonna complex”. Now in place, the entire model was continually pretrained on ~1.5 GB private dataset of domain data mixed with stabilizing agents. The Virgin and Slut cores were then each instruct trained on their domains with all other layers frozen, one at a time. Finally, the entire model was SFT’d and DPO’d.
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