--- license: mit language: - en --- # On-chain llama.cpp - Internet Computer 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) Notes: - Try them out at [ICGPT](https://icgpt.icpp.world/) - To use on the Internet Computer, follow instructions of [onicai/llama_cpp_canister](https://github.com/onicai/llama_cpp_canister) - Run local with [ggerganov/llama.cpp](https://github.com/ggerganov/llama.cpp) - 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. ## Setup local git with lfs See: [Getting Started: set-up](https://huggingface.co/docs/hub/repositories-getting-started#set-up) ```bash # install git lfs # Ubuntu git lfs install # Mac brew install git-lfs # install huggingface CLI tools in a python environment pip install huggingface-hub # Clone this repo # https git clone https://huggingface.co/onicai/llama_cpp_canister_models # ssh git clone git@hf.co:onicai/llama_cpp_canister_models cd llama_cpp_canister_models # configure lfs for local repo huggingface-cli lfs-enable-largefiles . # tell lfs what files to track (.gitattributes) git lfs track "*.gguf" # add, commit & push as usual with git git add git commit -m "Adding " git push -u origin main ``` ## Model creation We used [convert-llama2c-to-ggml](https://github.com/ggerganov/llama.cpp/tree/32c8486e1f0297393cb22ac0a0d26a6b17ad4d54/examples/convert-llama2c-to-ggml) to convert the llama2.c model+tokenizer to llama.cpp gguf format. - Good read: [lama : add support for llama2.c models](https://github.com/ggerganov/llama.cpp/issues/2379) For example: ```bash # From llama.cpp root folder # Build everything make -j # Convert a llama2c model+tokenizer to gguf convert-llama2c-to-ggml --llama2c-model stories260Ktok512.bin --copy-vocab-from-model tok512.bin --llama2c-output-model stories260Ktok512.gguf convert-llama2c-to-ggml --llama2c-model stories15Mtok4096.bin --copy-vocab-from-model tok4096.bin --llama2c-output-model stories15Mtok4096.gguf convert-llama2c-to-ggml --llama2c-model stories42Mtok4096.bin --copy-vocab-from-model tok4096.bin --llama2c-output-model stories42Mtok4096.gguf convert-llama2c-to-ggml --llama2c-model stories110Mtok32000.bin --copy-vocab-from-model models/ggml-vocab-llama.gguf --llama2c-output-model stories110Mtok32000.gguf convert-llama2c-to-ggml --llama2c-model stories42Mtok32000.bin --copy-vocab-from-model models/ggml-vocab-llama.gguf --llama2c-output-model stories42Mtok32000.gguf # Run it local, like this ./llama-cli -m stories15Mtok4096.gguf -p "Joe loves writing stories" -n 600 -c 128 ```