Instructions to use ModernoTech/Nova-Core 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 ModernoTech/Nova-Core 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-Core:Q4_K_M # Run inference directly in the terminal: llama cli -hf ModernoTech/Nova-Core: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-Core:Q4_K_M # Run inference directly in the terminal: llama cli -hf ModernoTech/Nova-Core: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-Core:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf ModernoTech/Nova-Core:Q4_K_M
Use Docker
docker model run hf.co/ModernoTech/Nova-Core:Q4_K_M
- Llama new
- LM Studio
- Jan
- vLLM
How to use ModernoTech/Nova-Core with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "ModernoTech/Nova-Core" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ModernoTech/Nova-Core", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/ModernoTech/Nova-Core:Q4_K_M
- Ollama
How to use ModernoTech/Nova-Core with Ollama:
ollama run hf.co/ModernoTech/Nova-Core:Q4_K_M
- Unsloth Desktop
- Pi
How to use ModernoTech/Nova-Core 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-Core: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-Core:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use ModernoTech/Nova-Core with Docker Model Runner:
docker model run hf.co/ModernoTech/Nova-Core:Q4_K_M
- Lemonade
How to use ModernoTech/Nova-Core with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull ModernoTech/Nova-Core:Q4_K_M
Run and chat with the model
lemonade run user.Nova-Core-Q4_K_M
List all available models
lemonade list
- Hermes Agent
How to use ModernoTech/Nova-Core 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-Core: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-Core:Q4_K_M
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use ModernoTech/Nova-Core 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-Core: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-Core: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"
docs: apply institutional Spanish model card structure
Browse files
README.md
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language:
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- es
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pretty_name: Nova
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model_name: Nova Core
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model_creator: Moderno Tech
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tags:
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- moderno-tech
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- nova
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- core
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license: other
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inference: false
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---
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## Instalación y uso
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```bash
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llama-cli -hf ModernoTech/Nova-Core -c 4096 --temp 0.7 --top-p 0.9 --top-k 40
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```
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Ajustá `-ngl` y la longitud de contexto según el hardware disponible.
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## Limitaciones
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- La compatibilidad efectiva depende del runtime y del hardware.
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- Las capacidades exactas deben validarse con el entorno de uso.
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- Se requiere respetar la licencia y atribuciones originales.
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## Provenencia técnica y licencia
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- Base Model: Gemma 4 E2B
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- Origen técnico: ModernoTech/nova-2b / ModernoTech/nova-models cuando corresponda
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- Licencia de referencia: Gemma
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- Autoría original: conservar según licencia
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- Artefacto publicado por Moderno Tech bajo su identidad comercial Nova.
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- Este artefacto se publica bajo identidad Nova; la procedencia puede implicar Gemma/HauhauCS and los derechos originales.
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La identidad comercial Nova no sustituye la licencia ni la autoría original.
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## Evolución del modelo
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1. 1.0/2.0: primera distribución Nova publicada.
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2. 1.1: mejoras incrementales o fine-tuning.
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3. 1.5: evolución documentada.
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4. 2.0: nueva generación de pesos.
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5. 3.0: generación futura.
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Las versiones con pesos modificados deberán tener hashes, documentación de entrenamiento y procedencia nuevas.
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## Identidad comercial
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Este repositorio pertenece a Moderno Tech y a la familia Nova AI.
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MODERNO TECH
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Nova AI
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Innovación. Ingeniería. Inteligencia.
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- Sitio oficial: https://www.moderno.com.ar
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- Organización: https://huggingface.co/ModernoTech
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- Repositorio: https://huggingface.co/ModernoTech/Nova-Core
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language:
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pretty_name: Nova-Core 2.0 — Moderno Tech
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model_name: Nova Core
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model_creator: Moderno Tech
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tags:
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- moderno-tech
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- nova
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- nova-core
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- text-generation
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- gguf
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license: other
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inference: false
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---
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# Nova Core
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Modelo denso conversacional basado en Gemma 4 E2B, empaquetado con identidad Nova.
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## Reliability and tested parameters
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- Tamaño total del GGUF: 3,009,448,896 bytes.
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- SHA-256: c9213a33b16d513482790bb7092243f783a450e35f7deca584a41e0470afdb97
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- Tiempo total observado: 3.16 s.
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- Prompt: 49.5 t/s.
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- Generación: 34.5 t/s.
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- Arquitectura interna: Gemma 4, densa, 35 bloques, embedding 1536, feed-forward 12288, context declarado 131072.
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- Base documented: Gemma 4 E2B / ModernoTech/nova-2b.
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- License: Gemma.
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Limitaciones reales: no tiene MoE; el consumo real depende de `-ngl` y del contexto. La licencia de Gemma exige revisión por separado.
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MODERNO TECH · Nova AI.
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