Instructions to use ModernoTech/nova-models 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-models 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-models:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf ModernoTech/nova-models: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-models:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf ModernoTech/nova-models: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-models:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama cli -hf ModernoTech/nova-models:Q4_K_M

Use Docker

docker model run hf.co/ModernoTech/nova-models:Q4_K_M

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

How to use ModernoTech/nova-models 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-models: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-models:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

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

Lemonade

How to use ModernoTech/nova-models with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull ModernoTech/nova-models:Q4_K_M

Run and chat with the model

lemonade run user.nova-models-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use ModernoTech/nova-models 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-models: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-models:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use ModernoTech/nova-models 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-models: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-models: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"

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

Nova models

Artefactos GGUF usados por Nova (Moderno Tech). Este repositorio contiene el modelo que no está disponible con el mismo hash en un repositorio público de origen.

Nivel	Archivo	Bytes	SHA-256
Nova Core	`Qwen3-0.6B-Q4_K_M.gguf`	484220288	`03a9f2b5eaa26e8a801012cf5c2eb75f2997da0725ce99bc03622d4bae583fdd`

Origen y licencia

Qwen3-0.6B-Q4_K_M.gguf: cuantización Q4_K_M de Qwen3-0.6B, publicado por Qwen bajo licencia Apache-2.0. Ver el model card de Qwen/Qwen3-0.6B.

El archivo se publica sin modificaciones, con el tamaño y SHA-256 indicados arriba. Nova lo consume por HTTPS con verificación de tamaño y reutilización desde la caché OPFS del navegador.

Los otros dos niveles usan los artefactos oficiales:

Nova Flash: LiquidAI/LFM2.5-350M-GGUF
Nova Pro: ggml-org/Qwen3.5-0.8B-GGUF

Downloads last month: 12

GGUF

Model size

0.8B params

Architecture

qwen3

Hardware compatibility

4-bit

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