Instructions to use onicai/llama_cpp_canister_models 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 onicai/llama_cpp_canister_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 onicai/llama_cpp_canister_models # Run inference directly in the terminal: llama cli -hf onicai/llama_cpp_canister_models
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf onicai/llama_cpp_canister_models # Run inference directly in the terminal: llama cli -hf onicai/llama_cpp_canister_models
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 onicai/llama_cpp_canister_models # Run inference directly in the terminal: ./build/bin/llama cli -hf onicai/llama_cpp_canister_models
Use Docker
docker model run hf.co/onicai/llama_cpp_canister_models
- Llama new
- LM Studio
- Jan
- Ollama
How to use onicai/llama_cpp_canister_models with Ollama:
ollama run hf.co/onicai/llama_cpp_canister_models
- Unsloth Desktop
- Docker Model Runner
How to use onicai/llama_cpp_canister_models with Docker Model Runner:
docker model run hf.co/onicai/llama_cpp_canister_models
- Lemonade
How to use onicai/llama_cpp_canister_models with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull onicai/llama_cpp_canister_models
Run and chat with the model
lemonade run user.llama_cpp_canister_models-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
Update README.md
Browse files
README.md
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# On-chain llama.cpp - Internet Computer
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- Run local with [ggerganov/llama.cpp](https://github.com/ggerganov/llama.cpp)
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- Try them out at [ICGPT](https://icgpt.icpp.world/)
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- The models were created with the training procedure outlined in [karpathy/llama2.c](https://github.com/karpathy/llama2.c) and then converted into *.gguf format as described below.
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# On-chain llama.cpp - Internet Computer
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You can run any *.gguf file in a llama_cpp_canister, but these are smaller models you can use for testing [onicai/llama_cpp_canister](https://github.com/onicai/llama_cpp_canister)
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Notes:
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- Try them out at [ICGPT](https://icgpt.icpp.world/)
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- To use on the Internet Computer, follow instructions of [onicai/llama_cpp_canister](https://github.com/onicai/llama_cpp_canister)
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- Run local with [ggerganov/llama.cpp](https://github.com/ggerganov/llama.cpp)
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- The models were created with the training procedure outlined in [karpathy/llama2.c](https://github.com/karpathy/llama2.c) and then converted into *.gguf format as described below.
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