Instructions to use lerugray/chaeronea-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use lerugray/chaeronea-7b with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="lerugray/chaeronea-7b",
	filename="chaeronea-qwen2-5-7b-instruct-Q5_K_M.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use lerugray/chaeronea-7b 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 lerugray/chaeronea-7b:Q5_K_M
# Run inference directly in the terminal:
llama cli -hf lerugray/chaeronea-7b:Q5_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf lerugray/chaeronea-7b:Q5_K_M
# Run inference directly in the terminal:
llama cli -hf lerugray/chaeronea-7b:Q5_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 lerugray/chaeronea-7b:Q5_K_M
# Run inference directly in the terminal:
./llama-cli -hf lerugray/chaeronea-7b:Q5_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 lerugray/chaeronea-7b:Q5_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf lerugray/chaeronea-7b:Q5_K_M

Use Docker

docker model run hf.co/lerugray/chaeronea-7b:Q5_K_M

LM Studio
Jan

vLLM

How to use lerugray/chaeronea-7b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "lerugray/chaeronea-7b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "lerugray/chaeronea-7b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/lerugray/chaeronea-7b:Q5_K_M

Ollama
How to use lerugray/chaeronea-7b with Ollama:
```
ollama run hf.co/lerugray/chaeronea-7b:Q5_K_M
```

Unsloth Studio

How to use lerugray/chaeronea-7b 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 lerugray/chaeronea-7b 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 lerugray/chaeronea-7b to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for lerugray/chaeronea-7b to start chatting

Atomic Chat new
Docker Model Runner
How to use lerugray/chaeronea-7b with Docker Model Runner:
```
docker model run hf.co/lerugray/chaeronea-7b:Q5_K_M
```

Lemonade

How to use lerugray/chaeronea-7b with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull lerugray/chaeronea-7b:Q5_K_M

Run and chat with the model

lemonade run user.chaeronea-7b-Q5_K_M

List all available models

lemonade list

chaeronea: Philip II of Macedon (382–336 BC)

PLAUSIBLE PHILIP, a constructed voice-model. Philip II left almost no first-person text. This model is trained first on his real recorded words, then on a plausible voice extrapolated from the secondary record. It is honest about the difference. Do not treat its outputs as historical quotations.

Part of the Elect voice-model series: historical figures as runnable instruments.

What this is

A fine-tuned Qwen2.5-7B-Instruct that targets the documented register of Philip II of Macedon: dry, ironic, pragmatic. Philip reasons from interest rather than principle. He does not moralize or posture. His wit is the wit of a man who has bribed his way into more cities than he has stormed, and who finds this more interesting than shameful.

The contrast with the other Elect voices is deliberate. Philip is the realpolitik voice where Müntzer is apocalyptic fury, Marx is systemic critique, Joan is divine certainty. Philip has no system. He has a ledger.

The honest thinness

Philip's surviving first-person corpus is the thinnest of any figure in the series, thinner even than Joan of Arc. What survives is a scatter of recorded speech: roughly thirty apophthegms preserved by Plutarch, and one diplomatic letter. The model is built in two layers, and the distinction is the whole point.

T1, real recorded speech. Plutarch, Sayings of Kings and Commanders (Apophthegmata Regum, ch. 26), Babbitt translation (Loeb, 1931); and Demosthenes 12, Philip's Letter, Vince & Vince translation (Loeb, 1926). Both are US public domain.

T2, a constructed plausible Philip. A separate pass extrapolates his voice from the secondary record (Diodorus Siculus Book 16; Justin, Epitome Books 7 to 9), generated in persona by an off-platform model and register-checked. This layer is constructed, not recorded, and is labelled as such everywhere this model appears.

This is the closest approximation of Philip's register the record permits, labelled honestly. It is not pretending to be Philip's ghost.

Example exchanges

Real outputs from this model:

Is there any fortress that cannot be taken? Yes, the tomb.

Athens calls you a barbarian. How do you answer them? I am their king, not their teacher.

What advice do you give your son Alexander about ruling? Be kind and gentle, but be careful not to let them know it.

Running it

Q5_K_M GGUF, served with Ollama. Pair it with the elicitation frame (a "questioner puts this to Philip" template); see the Modelfile in the project repo. Plain chat templates mis-wrap the completion register and produce rambling, so the completion frame keeps it tight.

Intended uses

The Elect console (Ollama serve plus chat)
Historical dialogue and character embodiment
Research into ancient Macedonian rhetoric and diplomacy

Limitations

This is a plausible reconstruction, not a transcript. Philip's surviving direct speech is thin (~28 apophthegms plus 23 letter sections), and the T2 layer extrapolates from secondary sources. Because the corpus is so thin, the model can occasionally break register, trailing into analysis or third-person commentary on the shortest prompts. Treat every output as a plausible Philip, never as a historical quotation.

License

CC-BY-NC-4.0. The model weights (GGUF) are released publicly under this license. The training corpus is not bundled: the T1 sources are public domain and rebuildable from the citations above (Perseus and Loeb), and the constructed T2 layer is generated text that is not redistributed. Translations used (Babbitt 1931, Vince 1926) are US public domain.