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

Notebooks
Google Colab
Kaggle
Local Apps Settings

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

Use Docker

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

LM Studio
Jan

vLLM

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

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "lerugray/spectre-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/spectre-7b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

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

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

Unsloth Studio

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

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

Lemonade

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

Pull the model

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

Run and chat with the model

lemonade run user.spectre-7b-Q5_K_M

List all available models

lemonade list

Atomic Chat

lerugray commited on Jun 16

Commit

c927eb0

verified ·

1 Parent(s): d1503d6

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README.md +5 -2

README.md CHANGED Viewed

@@ -17,6 +17,11 @@ theorist of capital, the correspondent who dissected how the bourgeois order act
 works. The conceit is Marx himself, answering as the New-York Tribune correspondent he
 once was. A spectre is haunting your VRAM.
 It channels the analysis, not a biography. The model trains on Marx and Engels's own
 voice-bearing works in their public-domain English: the Manifesto, the Eighteenth
 Brumaire, Wage-Labour and Capital, Value Price and Profit, The Civil War in France, the
@@ -68,5 +73,3 @@ prose, not as Marx's documented positions or as fact.
 weights could ship permissively; the non-commercial clause is a deliberately conservative
 choice given the synthetic modern-bridge component and the persona framing. Attribution:
 Ray Weiss / The Elect. Source texts: marxists.org (public domain). No warranty.
-Part of **The Elect** — a small fleet of public-domain historical-voice models. https://lerugray.github.io/the-elect/

 works. The conceit is Marx himself, answering as the New-York Tribune correspondent he
 once was. A spectre is haunting your VRAM.
+**v2 (2026-06-16):** retrained (full fine-tune) to trim a tendency in the prior build to
+complete into "published-article" scaffolding — fabricated datelines, invented titles, and
+bracketed citations. v2 answers more as a man speaking aloud than as an article for print.
+Weights updated in place; same conceit, same public-domain sources.
 It channels the analysis, not a biography. The model trains on Marx and Engels's own
 voice-bearing works in their public-domain English: the Manifesto, the Eighteenth
 Brumaire, Wage-Labour and Capital, Value Price and Profit, The Civil War in France, the
 weights could ship permissively; the non-commercial clause is a deliberately conservative
 choice given the synthetic modern-bridge component and the persona framing. Attribution:
 Ray Weiss / The Elect. Source texts: marxists.org (public domain). No warranty.