Instructions to use ModernoTech/Nova-Mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use ModernoTech/Nova-Mini 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 ModernoTech/Nova-Mini:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf ModernoTech/Nova-Mini:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf ModernoTech/Nova-Mini:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf ModernoTech/Nova-Mini:Q4_K_M

Build from source code

git clone https://github.com/ggml-org/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-app
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama serve -hf ModernoTech/Nova-Mini:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama cli -hf ModernoTech/Nova-Mini:Q4_K_M

Use Docker

docker model run hf.co/ModernoTech/Nova-Mini:Q4_K_M

Llama new
LM Studio
Jan
Ollama
How to use ModernoTech/Nova-Mini with Ollama:
```
ollama run hf.co/ModernoTech/Nova-Mini:Q4_K_M
```
Unsloth Desktop

How to use ModernoTech/Nova-Mini with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf ModernoTech/Nova-Mini:Q4_K_M

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "ModernoTech/Nova-Mini:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use ModernoTech/Nova-Mini with Docker Model Runner:
```
docker model run hf.co/ModernoTech/Nova-Mini:Q4_K_M
```

Lemonade

How to use ModernoTech/Nova-Mini with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull ModernoTech/Nova-Mini:Q4_K_M

Run and chat with the model

lemonade run user.Nova-Mini-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use ModernoTech/Nova-Mini with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf ModernoTech/Nova-Mini: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 ModernoTech/Nova-Mini:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use ModernoTech/Nova-Mini with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf ModernoTech/Nova-Mini: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 "ModernoTech/Nova-Mini: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"

ModernoTech commited on 4 days ago

Commit

51e612b

verified ·

1 Parent(s): 1a6b833

Integrate Nova legal provenance section and Model Card reference into README

Browse files

Files changed (1) hide show

README.md +8 -0

README.md CHANGED Viewed

@@ -65,6 +65,14 @@ Modelo base: `Qwen/Qwen3-0.6B` con atribución original obligatoria.
 MDCL.
 ## Rendimiento cuantitativo
 > Todos los valores de throughput son **ESTIMADOS** (techo de ancho de banda) o **NO VALIDADOS**. Ver `performance/performance.json` y `performance/simulation-results.csv`.

 MDCL.
+## Documentación legal de Nova
+- `MODEL-CARD.md` resume propósito, datos verificados, limitaciones y procedencia de este modelo.
+- Las especificaciones y estimaciones se clasifican como medido, reportado por propietario, estimado o no validado.
+- Las licencias heredadas se preservan y no se otorgan derechos adicionales mediante la presentación comercial.
+- `performance/` contiene estados de rendimiento transparentes y no otorga resultados inventados.
 ## Rendimiento cuantitativo
 > Todos los valores de throughput son **ESTIMADOS** (techo de ancho de banda) o **NO VALIDADOS**. Ver `performance/performance.json` y `performance/simulation-results.csv`.