Instructions to use ganchito/dante-7b.gguf 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 ganchito/dante-7b.gguf 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 ganchito/dante-7b.gguf # Run inference directly in the terminal: llama cli -hf ganchito/dante-7b.gguf
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf ganchito/dante-7b.gguf # Run inference directly in the terminal: llama cli -hf ganchito/dante-7b.gguf
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 ganchito/dante-7b.gguf # Run inference directly in the terminal: ./llama-cli -hf ganchito/dante-7b.gguf
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 ganchito/dante-7b.gguf # Run inference directly in the terminal: ./build/bin/llama-cli -hf ganchito/dante-7b.gguf
Use Docker
docker model run hf.co/ganchito/dante-7b.gguf
- LM Studio
- Jan
- vLLM
How to use ganchito/dante-7b.gguf with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "ganchito/dante-7b.gguf" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ganchito/dante-7b.gguf", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/ganchito/dante-7b.gguf
- Ollama
How to use ganchito/dante-7b.gguf with Ollama:
ollama run hf.co/ganchito/dante-7b.gguf
- Unsloth Desktop
- Pi
How to use ganchito/dante-7b.gguf with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf ganchito/dante-7b.gguf
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": "ganchito/dante-7b.gguf" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use ganchito/dante-7b.gguf with Docker Model Runner:
docker model run hf.co/ganchito/dante-7b.gguf
- Lemonade
How to use ganchito/dante-7b.gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull ganchito/dante-7b.gguf
Run and chat with the model
lemonade run user.dante-7b.gguf-{{QUANT_TAG}}List all available models
lemonade list
- Hermes Agent
How to use ganchito/dante-7b.gguf with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf ganchito/dante-7b.gguf
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 ganchito/dante-7b.gguf
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use ganchito/dante-7b.gguf with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf ganchito/dante-7b.gguf
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 "ganchito/dante-7b.gguf" \ --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"
๐ฆ Dante-7B (GGUF) โ Optimized for Ollama
This repository provides a quantized and GGUF-converted version of the Dante-7B model, based on the Qwen2 7B architecture.
It is optimized for use with Ollama ๐ป or any backend compatible with llama.cpp.
๐ฆ Model Origin
- Base model:
outflanknl/Dante-7B - Architecture: Qwen2 7B
- Format conversion: Performed with the official
llama.cppconversion script:python3 convert_hf_to_gguf.py /path/to/original/model --outfile Dante-7B.gguf
๐ง Quantization
The model has been quantized to reduce memory usage and improve inference speed while keeping high-quality outputs.
๐ Files in This Repository
Dante-7B.ggufโ Ready-to-use model file (GGUF format)- Example
Modelfilefor Ollama
๐ Quick Start with Ollama
1๏ธโฃ Download the repository
git lfs install
git clone https://huggingface.co/ganchito/dante-7b.gguf
cd dante-7b.gguf
2๏ธโฃ Create a Modelfile
Example configuration:
FROM Dante-7B.gguf
# Model configuration
PARAMETER stop "<|im_end|>"
PARAMETER stop "<|endoftext|>"
PARAMETER stop "<|im_start|>"
PARAMETER stop "<|endoftext|>"
SYSTEM \"\"\"You are Dante, a 7B parameter language model based on Qwen2 architecture.
You are a helpful, creative, and intelligent AI assistant.
You can engage in conversations, answer questions, help with tasks, and provide thoughtful responses.
Always be respectful, honest, and helpful while maintaining a conversational and engaging tone.\"\"\"
TEMPLATE \"\"\"{{ if .System }}<|im_start|>system
{{ .System }}<|im_end|>
{{ end }}{{ if .Prompt }}<|im_start|>user
{{ .Prompt }}<|im_end|>
{{ end }}<|im_start|>assistant
{{ .Response }}<|im_end|>\"\"\"
PARAMETER temperature 0.7
PARAMETER top_p 0.9
PARAMETER top_k 40
PARAMETER repeat_penalty 1.1
PARAMETER num_ctx 32768
3๏ธโฃ Build the model in Ollama
ollama create dante-7b -f Modelfile
4๏ธโฃ Run the model
ollama run dante-7b
๐ License
This GGUF version is subject to the same license as the original Dante-7B model.
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