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Muse Glimmer starter script
A starter script that downloads Muse Glimmer 30B, serves it with llama.cpp on an Apple Silicon Mac and connects it to OpenCode, with the server listening only on localhost.
# Muse Glimmer Starter Script Set up and run Muse Glimmer 30B locally on an Apple Silicon Mac with [llama.cpp](https://github.com/ggml-org/llama.cpp) and [OpenCode](https://opencode.ai/docs). The starter script downloads the model, starts a local server, and connects it to OpenCode. Everything runs on your Mac and the server listens only on `127.0.0.1`. ## Requirements - An Apple Silicon Mac. We recommend 64 GB of unified memory; the first model download needs about 30 GiB of free disk space. - `git`, `curl`, Python 3.10+, a recent `llama-server`, and OpenCode 1.x. - No `pip install` is required. Add the installed commands to your shell: ```bash echo 'export PATH="$HOME/.local/bin:$PATH"' >> "$HOME/.zshrc" export PATH="$HOME/.local/bin:$PATH" ``` ## Quick start Clone this repository, open it in Terminal, and run: ```bash make install # install the muse-* commands make download # download and verify the model files muse-start # start the local model server muse-code # open OpenCode with Muse Glimmer ``` The first download is about 21 GB and may take a while. When ready, `muse-start` reports that the server is healthy at `http://127.0.0.1:8080`, and `muse-code` opens OpenCode using the local model. Later runs reuse the verified model files. ## More details See the [reference guide](docs/REFERENCE.md) for custom llama.cpp locations, all available commands, runtime selection, configuration, logs, testing, updates, troubleshooting, and uninstall instructions. ## License The starter scripts are licensed under the [Apache License 2.0](LICENSE). Model weights are downloaded separately and remain subject to the terms published by the upstream [Muse Glimmer 30B GGUF repository](https://huggingface.co/meta-models/Muse-Glimmer-30B-GGUF).



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