Instructions to use Neohosseinism/gemma4-stack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use Neohosseinism/gemma4-stack 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 Neohosseinism/gemma4-stack:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Neohosseinism/gemma4-stack:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Neohosseinism/gemma4-stack:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Neohosseinism/gemma4-stack: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 Neohosseinism/gemma4-stack:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Neohosseinism/gemma4-stack: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 Neohosseinism/gemma4-stack:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Neohosseinism/gemma4-stack:Q4_K_M

Use Docker

docker model run hf.co/Neohosseinism/gemma4-stack:Q4_K_M

LM Studio
Jan
Ollama
How to use Neohosseinism/gemma4-stack with Ollama:
```
ollama run hf.co/Neohosseinism/gemma4-stack:Q4_K_M
```

Unsloth Studio

How to use Neohosseinism/gemma4-stack 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 Neohosseinism/gemma4-stack 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 Neohosseinism/gemma4-stack to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Neohosseinism/gemma4-stack to start chatting

How to use Neohosseinism/gemma4-stack with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Neohosseinism/gemma4-stack:Q4_K_M

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": "Neohosseinism/gemma4-stack:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

OpenClaw new

How to use Neohosseinism/gemma4-stack with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Neohosseinism/gemma4-stack:Q4_K_M

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 "Neohosseinism/gemma4-stack:Q4_K_M" \
  --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 Neohosseinism/gemma4-stack with Docker Model Runner:
```
docker model run hf.co/Neohosseinism/gemma4-stack:Q4_K_M
```

Lemonade

How to use Neohosseinism/gemma4-stack with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Neohosseinism/gemma4-stack:Q4_K_M

Run and chat with the model

lemonade run user.gemma4-stack-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use Neohosseinism/gemma4-stack with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Neohosseinism/gemma4-stack:Q4_K_M

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 Neohosseinism/gemma4-stack:Q4_K_M

Run Hermes

hermes

Atomic Chat

gemma4-stack / llama-swap /entrypoint.sh

Neohosseinism

Fix multi-minute UI latency: disable reasoning, preload model, kill hidden task calls

476ec1a 25 days ago

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1.02 kB

	#!/bin/sh
	# Render llama-swap config from the template using env knobs, then launch.
	# Substitutes only ${NGL} ${THREADS} ${CTX} — leaves ${base} and ${PORT} for
	# llama-swap to resolve itself.
	set -eu

	NGL="${NGL:-0}"
	THREADS="${THREADS:-4}"
	CTX="${CTX:-8192}"
	DEFAULT_MODEL="${DEFAULT_MODEL:-gemma-e4b}"

	TMPL="/config/config.tmpl.yaml"
	OUT="/tmp/config.yaml"

	sed \
	-e "s\|\${NGL}\|${NGL}\|g" \
	-e "s\|\${THREADS}\|${THREADS}\|g" \
	-e "s\|\${CTX}\|${CTX}\|g" \
	-e "s\|\${DEFAULT_MODEL}\|${DEFAULT_MODEL}\|g" \
	"$TMPL" > "$OUT"

	echo "===================================================================="
	echo "[entrypoint] rendered $OUT (NGL=$NGL THREADS=$THREADS CTX=$CTX)"
	echo "===================================================================="
	cat "$OUT"
	echo "===================================================================="

	BIN="$(command -v llama-swap \|\| echo /app/llama-swap)"
	echo "[entrypoint] launching: $BIN --config $OUT --listen 0.0.0.0:8080"
	exec "$BIN" --config "$OUT" --listen 0.0.0.0:8080