Instructions to use NexaAI/gemma-3n with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use NexaAI/gemma-3n 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 NexaAI/gemma-3n:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf NexaAI/gemma-3n:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf NexaAI/gemma-3n:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf NexaAI/gemma-3n: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 NexaAI/gemma-3n:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf NexaAI/gemma-3n: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 NexaAI/gemma-3n:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf NexaAI/gemma-3n:Q4_K_M

Use Docker

docker model run hf.co/NexaAI/gemma-3n:Q4_K_M

LM Studio
Jan
Ollama
How to use NexaAI/gemma-3n with Ollama:
```
ollama run hf.co/NexaAI/gemma-3n:Q4_K_M
```

Unsloth Studio

How to use NexaAI/gemma-3n 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 NexaAI/gemma-3n 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 NexaAI/gemma-3n to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for NexaAI/gemma-3n to start chatting

Docker Model Runner
How to use NexaAI/gemma-3n with Docker Model Runner:
```
docker model run hf.co/NexaAI/gemma-3n:Q4_K_M
```

Lemonade

How to use NexaAI/gemma-3n with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull NexaAI/gemma-3n:Q4_K_M

Run and chat with the model

lemonade run user.gemma-3n-Q4_K_M

List all available models

lemonade list

Atomic Chat

zackli4ai commited on Aug 26, 2025

Commit

850d1cd

verified ·

1 Parent(s): 6e73534

Update README.md

Browse files

Files changed (1) hide show

README.md +4 -1

README.md CHANGED Viewed

@@ -29,13 +29,16 @@ It supports a 32K context window and multilingual inputs across more than 140 la
 ---
 ## How to use
 ### 1) Install Nexa-SDK
-Download and follow the steps under "Deploy Section" Nexa's model page:  [Download Windows SDK](https://sdk.nexa.ai/model/SDXL-Base)
 ### 2) Get an access token
 Create a token in the Model Hub, then log in:
 ```bash
 nexa config set license '<access_token>'
 ```
 ### 3) Run the model
 Running:
 ```bash

 ---
 ## How to use
 ### 1) Install Nexa-SDK
+Download and follow the steps under "Deploy Section" Nexa's model page: [Download Windows SDK](https://sdk.nexa.ai/model/SDXL-Base)
 ### 2) Get an access token
 Create a token in the Model Hub, then log in:
 ```bash
 nexa config set license '<access_token>'
 ```
 ### 3) Run the model
 Running:
 ```bash