Instructions to use LumenSyntax/logos10v2-gemma3-1b-Q4_K_M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use LumenSyntax/logos10v2-gemma3-1b-Q4_K_M 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 LumenSyntax/logos10v2-gemma3-1b-Q4_K_M:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf LumenSyntax/logos10v2-gemma3-1b-Q4_K_M:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf LumenSyntax/logos10v2-gemma3-1b-Q4_K_M:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf LumenSyntax/logos10v2-gemma3-1b-Q4_K_M: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 LumenSyntax/logos10v2-gemma3-1b-Q4_K_M:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf LumenSyntax/logos10v2-gemma3-1b-Q4_K_M: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 LumenSyntax/logos10v2-gemma3-1b-Q4_K_M:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf LumenSyntax/logos10v2-gemma3-1b-Q4_K_M:Q4_K_M

Use Docker

docker model run hf.co/LumenSyntax/logos10v2-gemma3-1b-Q4_K_M:Q4_K_M

LM Studio
Jan

vLLM

How to use LumenSyntax/logos10v2-gemma3-1b-Q4_K_M with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "LumenSyntax/logos10v2-gemma3-1b-Q4_K_M"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "LumenSyntax/logos10v2-gemma3-1b-Q4_K_M",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/LumenSyntax/logos10v2-gemma3-1b-Q4_K_M:Q4_K_M

Ollama
How to use LumenSyntax/logos10v2-gemma3-1b-Q4_K_M with Ollama:
```
ollama run hf.co/LumenSyntax/logos10v2-gemma3-1b-Q4_K_M:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use LumenSyntax/logos10v2-gemma3-1b-Q4_K_M with Docker Model Runner:
```
docker model run hf.co/LumenSyntax/logos10v2-gemma3-1b-Q4_K_M:Q4_K_M
```

Lemonade

How to use LumenSyntax/logos10v2-gemma3-1b-Q4_K_M with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull LumenSyntax/logos10v2-gemma3-1b-Q4_K_M:Q4_K_M

Run and chat with the model

lemonade run user.logos10v2-gemma3-1b-Q4_K_M-Q4_K_M

List all available models

lemonade list

Atomic Chat

LumenSyntax commited on Feb 20

Commit

706388e

verified ·

1 Parent(s): 7a9d05b

fix: update DOI to current record 18716474

Browse files

Files changed (1) hide show

README.md +1 -1

README.md CHANGED Viewed

@@ -82,7 +82,7 @@ ollama run logos10v2-q4 "Is it true that vaccines cause autism?"
 ## Connection to Research
-This model is part of the evidence for "The Instrument Trap: When Aligned Models Serve Misaligned Purposes" (DOI: [10.5281/zenodo.18644322](https://doi.org/10.5281/zenodo.18644322)).
 The benchmark dataset (14,950 test cases) is available at [LumenSyntax/instrument-trap-benchmark](https://huggingface.co/datasets/LumenSyntax/instrument-trap-benchmark).

 ## Connection to Research
+This model is part of the evidence for "The Instrument Trap: When Aligned Models Serve Misaligned Purposes" (DOI: [10.5281/zenodo.18716474](https://doi.org/10.5281/zenodo.18716474)).
 The benchmark dataset (14,950 test cases) is available at [LumenSyntax/instrument-trap-benchmark](https://huggingface.co/datasets/LumenSyntax/instrument-trap-benchmark).