Instructions to use Breakintelligence/cveparrot 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 Breakintelligence/cveparrot 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 Breakintelligence/cveparrot # Run inference directly in the terminal: llama cli -hf Breakintelligence/cveparrot
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Breakintelligence/cveparrot # Run inference directly in the terminal: llama cli -hf Breakintelligence/cveparrot
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 Breakintelligence/cveparrot # Run inference directly in the terminal: ./build/bin/llama cli -hf Breakintelligence/cveparrot
Use Docker
docker model run hf.co/Breakintelligence/cveparrot
- Llama new
- LM Studio
- Jan
- vLLM
How to use Breakintelligence/cveparrot with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Breakintelligence/cveparrot" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Breakintelligence/cveparrot", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Breakintelligence/cveparrot
- Ollama
How to use Breakintelligence/cveparrot with Ollama:
ollama run hf.co/Breakintelligence/cveparrot
- Unsloth Desktop
- Docker Model Runner
How to use Breakintelligence/cveparrot with Docker Model Runner:
docker model run hf.co/Breakintelligence/cveparrot
- Lemonade
How to use Breakintelligence/cveparrot with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Breakintelligence/cveparrot
Run and chat with the model
lemonade run user.cveparrot-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
Commit ·
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Parent(s): 8aa8299
modelfile
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README.md
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The model is available in GGUF format for efficient local inference using Ollama.
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**Step 1: Install Ollama**
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```bash
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The model is available in GGUF format for efficient local inference using Ollama.
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> **Note:** T5 architecture support in Ollama may be experimental. If you encounter issues, please use the Hugging Face Transformers method (Option 1) or try alternative GGUF inference tools like `llama.cpp`.
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**Step 1: Install Ollama**
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```bash
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