30 lines
1.8 KiB
Markdown
30 lines
1.8 KiB
Markdown
## Local LLM Mode
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Welcome to **K.G.Studio Musician Assistant** in local LLM mode.
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- No external API calls are required. Everything runs directly in your browser, with no extra API cost.
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- This mode uses **Gemma 4 E4B** through **LiteRT-LM** with **WebGPU** acceleration.
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- Recommended hardware: a GPU with at least **8 GB VRAM** or a system with at least **16 GB unified RAM**.
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- Performance is more limited than larger cloud-hosted models, especially on harder planning, editing, and multi-step tasks.
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### Recommended Workflow
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- Keep requests small and focused.
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- Guide the model step by step toward the final goal.
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- Work on smaller music regions instead of large full-song edits.
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- Prefer simpler music arrangements when possible.
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- Start a new conversation for each standalone task.
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Example:
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- For best results, break more complex requests into smaller steps.
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- For example, if you want the model to write a chord progression based on the current music, first ask: `Please read the current music.`
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- Once that is complete, follow up with: `Please write a chord progression based on it.`
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- This incremental workflow is generally more reliable in local LLM mode.
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- Keep the MIDI region you want the agent to update selected throughout the workflow.
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- You do not need to switch the selection to another region just for `read_music`, because `read_music` can fetch music across all tracks.
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### Use an External LLM Instead
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- If you want a larger cloud or self-hosted model, open **Settings -> General -> LLM Provider** and switch away from **Local LLM (Browser)**.
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- For a cloud model, you can use **OpenAI**, or choose **OpenAI Compatible** and enter a provider such as OpenRouter.
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- For a self-hosted model, choose **OpenAI Compatible** and enter your server's **Base URL** and **Model**.
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- After switching providers, start a new conversation so the chat uses the new model cleanly.
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