Instructions to use georgeanton/alice-gemma4-e2b-cortex-5.1b-4.4gb 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 georgeanton/alice-gemma4-e2b-cortex-5.1b-4.4gb 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 georgeanton/alice-gemma4-e2b-cortex-5.1b-4.4gb # Run inference directly in the terminal: llama cli -hf georgeanton/alice-gemma4-e2b-cortex-5.1b-4.4gb
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf georgeanton/alice-gemma4-e2b-cortex-5.1b-4.4gb # Run inference directly in the terminal: llama cli -hf georgeanton/alice-gemma4-e2b-cortex-5.1b-4.4gb
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 georgeanton/alice-gemma4-e2b-cortex-5.1b-4.4gb # Run inference directly in the terminal: ./llama-cli -hf georgeanton/alice-gemma4-e2b-cortex-5.1b-4.4gb
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 georgeanton/alice-gemma4-e2b-cortex-5.1b-4.4gb # Run inference directly in the terminal: ./build/bin/llama-cli -hf georgeanton/alice-gemma4-e2b-cortex-5.1b-4.4gb
Use Docker
docker model run hf.co/georgeanton/alice-gemma4-e2b-cortex-5.1b-4.4gb
- LM Studio
- Jan
- Ollama
How to use georgeanton/alice-gemma4-e2b-cortex-5.1b-4.4gb with Ollama:
ollama run hf.co/georgeanton/alice-gemma4-e2b-cortex-5.1b-4.4gb
- Unsloth Studio
How to use georgeanton/alice-gemma4-e2b-cortex-5.1b-4.4gb 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 georgeanton/alice-gemma4-e2b-cortex-5.1b-4.4gb 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 georgeanton/alice-gemma4-e2b-cortex-5.1b-4.4gb to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for georgeanton/alice-gemma4-e2b-cortex-5.1b-4.4gb to start chatting
- Pi
How to use georgeanton/alice-gemma4-e2b-cortex-5.1b-4.4gb with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf georgeanton/alice-gemma4-e2b-cortex-5.1b-4.4gb
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "georgeanton/alice-gemma4-e2b-cortex-5.1b-4.4gb" } ] } } }Run Pi
# Start Pi in your project directory: pi
- OpenClaw new
How to use georgeanton/alice-gemma4-e2b-cortex-5.1b-4.4gb with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf georgeanton/alice-gemma4-e2b-cortex-5.1b-4.4gb
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "georgeanton/alice-gemma4-e2b-cortex-5.1b-4.4gb" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
- Docker Model Runner
How to use georgeanton/alice-gemma4-e2b-cortex-5.1b-4.4gb with Docker Model Runner:
docker model run hf.co/georgeanton/alice-gemma4-e2b-cortex-5.1b-4.4gb
- Lemonade
How to use georgeanton/alice-gemma4-e2b-cortex-5.1b-4.4gb with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull georgeanton/alice-gemma4-e2b-cortex-5.1b-4.4gb
Run and chat with the model
lemonade run user.alice-gemma4-e2b-cortex-5.1b-4.4gb-{{QUANT_TAG}}List all available models
lemonade list
- Hermes Agent
How to use georgeanton/alice-gemma4-e2b-cortex-5.1b-4.4gb with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf georgeanton/alice-gemma4-e2b-cortex-5.1b-4.4gb
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default georgeanton/alice-gemma4-e2b-cortex-5.1b-4.4gb
Run Hermes
hermes
- Atomic Chat
SIFTA public cortex distro update - 2026-05-10
Browse files- .gitattributes +1 -0
- Modelfile +7 -0
- README.md +28 -0
- alice-gemma4-e2b-cortex-5.1b-4.4gb.gguf +3 -0
- provenance.json +14 -0
.gitattributes
CHANGED
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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alice-gemma4-e2b-cortex-5.1b-4.4gb.gguf filter=lfs diff=lfs merge=lfs -text
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Modelfile
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FROM ./alice-gemma4-e2b-cortex-5.1b-4.4gb.gguf
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TEMPLATE {{ .Prompt }}
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RENDERER gemma4
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PARSER gemma4
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PARAMETER temperature 1
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PARAMETER top_k 64
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PARAMETER top_p 0.95
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README.md
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---
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license: apache-2.0
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tags:
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- sifta
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- ollama
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- gemma4
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- local-ai
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library_name: ollama
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---
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# Alice Gemma4 E2B Cortex 5.1B 4.4GB
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Small daily Gemma4 cortex for the SIFTA Living OS.
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```bash
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ollama create alice-gemma4-e2b-cortex-5.1b-4.4gb:latest -f Modelfile
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```
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## Role
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Use this as the lighter daily dialogue/reasoning cortex when the full M5 cortex
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is unnecessary or the node should conserve memory. It is still a cortex lane:
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tool execution and external claims must pass through SIFTA organs and receipts.
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## Local State Boundary
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This model package is public species DNA. It must not include raw `.sifta_state/`
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selfhood, contacts, owner memory, camera frames, or private receipts.
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alice-gemma4-e2b-cortex-5.1b-4.4gb.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:cc4ff226a10e0a2f31c7ec78549932a13a58aa7156f3865edcb4f853927716e9
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size 4435930816
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provenance.json
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{
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"truth_label": "SIFTA_PUBLIC_MODEL_PROVENANCE",
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"tag": "alice-gemma4-e2b-cortex-5.1b-4.4gb:latest",
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"hf_repo": "georgeanton/alice-gemma4-e2b-cortex-5.1b-4.4gb",
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"ollama_blob": "sha256-cc4ff226a10e0a2f31c7ec78549932a13a58aa7156f3865edcb4f853927716e9",
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"architecture": "gemma4",
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"role": "small_daily_cortex",
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"verified_at": "2026-05-10",
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"verified_by": "C55M@codex",
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"notes": [
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"Small daily Gemma4 cortex lane.",
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"External action claims remain receipt-gated through SIFTA organs."
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]
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}
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