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| license: apache-2.0 | |
| base_model: openbmb/MiniCPM5-1B | |
| pipeline_tag: text-generation | |
| library_name: coreai | |
| tags: | |
| - core-ai | |
| - ios | |
| - on-device | |
| - minicpm5 | |
| # Fieldnote models | |
| MiniCPM5 1B compiled ahead of time for Apple's Core AI, one ready-to-load bundle per | |
| iPhone chip family. Used by [Fieldnote](https://github.com/array-ai/fieldnotes), an | |
| on-device meeting recorder, to write meeting notes without compiling the model on | |
| the phone (the on-phone compile of a larger model ran an iPhone 16 out of memory). | |
| ## Bundles | |
| | Folder | Core AI architecture | Phones | | |
| |---|---|---| | |
| | `ios-h17g` | h17g | iPhone 16 family | | |
| | `ios-h17p` | h17p | iPhone 16 family | | |
| | `ios-h18p` | h18p | iPhone 17 Pro | | |
| Each folder is a complete bundle: `metadata.json` (pointing at the compiled model), | |
| `tokenizer/`, and `minicpm5_1b_minicpm5_pal8_g32_static.<arch>.aimodelc`. A phone | |
| needs only the folder whose architecture matches `AIModel.deviceArchitectureName`. | |
| Other devices should use the portable model below and let Core AI compile it. | |
| ## Source and build | |
| - Model: [openbmb/MiniCPM5-1B](https://huggingface.co/openbmb/MiniCPM5-1B), 8-bit | |
| palettized, 4,096-token context. | |
| - Portable Core AI export: [mlboydaisuke/MiniCPM5-1B-CoreAI](https://huggingface.co/mlboydaisuke/MiniCPM5-1B-CoreAI) | |
| `ios-static/` at revision `f38d143ec50cb2e54d8388479b919e3b9283943b`. | |
| - Compiled on GitHub Actions (Xcode 27, Metal Toolchain) by | |
| [`compile-models.yml`](https://github.com/array-ai/fieldnotes/blob/main/.github/workflows/compile-models.yml): | |
| ``` | |
| xcrun coreai-build compile minicpm5_1b_minicpm5_pal8_g32_static.aimodel \ | |
| --platform iOS --min-deployment-version 27.0 --architecture <arch> --output <dir> | |
| ``` | |
| Compute units were left to Core AI's default choice. Some on-device specialization | |
| still happens at first load, but not the full compile. | |
| ## Loading | |
| ```swift | |
| import CoreAI | |
| import CoreAILanguageModels | |
| let arch = AIModel.deviceArchitectureName // e.g. "h17g" | |
| let bundle = modelsDirectory.appending(path: "ios-\(arch)") | |
| let model = try await CoreAILanguageModel(resourcesAt: bundle) | |
| ``` | |
| Fieldnote downloads only the matching folder, from a pinned revision of this repo, | |
| and checks every file against its SHA-256 before use. | |
| ## Licence | |
| MiniCPM5 is released by OpenBMB under the Apache License 2.0, and so are these | |
| compiled bundles (see `LICENSE`). No weights were changed; the files here are the | |
| portable export compiled for specific chips. | |