Instructions to use ModernoTech/Nova-Spark 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-Spark 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-Spark:Q4_0 # Run inference directly in the terminal: llama cli -hf ModernoTech/Nova-Spark:Q4_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf ModernoTech/Nova-Spark:Q4_0 # Run inference directly in the terminal: llama cli -hf ModernoTech/Nova-Spark:Q4_0
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-Spark:Q4_0 # Run inference directly in the terminal: ./build/bin/llama cli -hf ModernoTech/Nova-Spark:Q4_0
Use Docker
docker model run hf.co/ModernoTech/Nova-Spark:Q4_0
- Llama new
- LM Studio
- Jan
- Ollama
How to use ModernoTech/Nova-Spark with Ollama:
ollama run hf.co/ModernoTech/Nova-Spark:Q4_0
- Unsloth Desktop
- Pi
How to use ModernoTech/Nova-Spark 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-Spark:Q4_0
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-Spark:Q4_0" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use ModernoTech/Nova-Spark with Docker Model Runner:
docker model run hf.co/ModernoTech/Nova-Spark:Q4_0
- Lemonade
How to use ModernoTech/Nova-Spark with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull ModernoTech/Nova-Spark:Q4_0
Run and chat with the model
lemonade run user.Nova-Spark-Q4_0
List all available models
lemonade list
- Hermes Agent
How to use ModernoTech/Nova-Spark 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-Spark:Q4_0
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-Spark:Q4_0
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use ModernoTech/Nova-Spark 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-Spark:Q4_0
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-Spark:Q4_0" \ --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: add Nova Spark model card
Browse files
README.md
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---
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language:
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- en
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- es
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- zh
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tags:
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- moderno-tech
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- nova
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- nova-edge
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- text-generation
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- gguf
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- conversational
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- qwen3.5
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license: apache-2.0
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base_model: Qwen/Qwen3.5-0.8B
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inference: false
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---
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# Nova Spark 1.0
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**Moderno Tech** publishes this model as part of the **Nova Edge** family.
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## Provenance
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- Commercial model name: `Nova Spark`
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- Base model: `Qwen/Qwen3.5-0.8B`
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- Origin repository: `ggml-org/Qwen3.5-0.8B-GGUF`
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- Base parameters: 0.8B
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- Format: GGUF
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- Quantization: Q4_0
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- Commercial version: `1.0`
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This repository does not claim that Moderno Tech trained the weights from scratch.
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Moderno Tech redistributes and documents the verified original artifact without changing weights, architecture, tokenizer, prompts or inference parameters.
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## Published artifact
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- Filename in this repository: `Qwen3.5-0.8B-Q4_0.gguf`
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- Expected bytes: 563036064
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- SHA-256: `57d1997790d1744fba5b40a7317df71ea5e2acee28c47e78f0cce39c0703f8cf`
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## License
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Redistribution is subject to Apache License 2.0 and the original Qwen licensing terms.
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## Runtime compatibility
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Documented against the original GGUF repository. Use a GGUF-compatible runtime such as llama.cpp and follow the original author's recommended parameters.
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## Version policy
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Quantizations are distribution variants of the same commercial version.
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`Q4_0` is part of `Nova Spark 1.0`.
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