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Releases: aiolm/AioLM

AioLM v0.3.1

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@github-actions github-actions released this 06 Oct 01:35
51925a0

Windows x64: NSIS / MSI. Linux x86_64 (Ubuntu 24.04+): DEB / AppImage.
macOS 13.3+: Apple silicon (aarch64) and Intel (x64) DMG, or install.sh.
Assets are unsigned. Verify SHA-256 values against checksums.txt from this release.
The macOS app is ad-hoc signed, not notarized: after opening a browser-downloaded copy,
allow it once under System Settings > Privacy & Security > Open Anyway, or install with
install.sh, which verifies the DMG's SHA-256.
DEB registers the launcher and icon automatically. For AppImage desktop integration,
use register-linux-desktop.py from this release after verifying its checksum.
Installation guide: https://github.com/aiolm/AioLM/blob/v0.3.1/docs/guides/install.md

What's Changed

Full Changelog: v0.3.0...v0.3.1

AioLM v0.3.0

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@github-actions github-actions released this 05 Oct 15:36
8f902fb

Windows x64: NSIS / MSI. Linux x86_64 (Ubuntu 24.04+): DEB / AppImage.
macOS 13.3+: Apple silicon (aarch64) and Intel (x64) DMG, or install.sh.
Assets are unsigned. Verify SHA-256 values against checksums.txt from this release.
The macOS app is ad-hoc signed, not notarized: after opening a browser-downloaded copy,
allow it once under System Settings > Privacy & Security > Open Anyway, or install with
install.sh, which verifies the DMG's SHA-256.
DEB registers the launcher and icon automatically. For AppImage desktop integration,
use register-linux-desktop.py from this release after verifying its checksum.
Installation guide: https://github.com/aiolm/AioLM/blob/v0.3.0/docs/guides/install.md

What's Changed

  • Add native macOS acceptance and cancellable approval windows by @joowon-jang in #17
  • Keep the macOS release checks native and stabilize Windows process tests by @joowon-jang in #18

Full Changelog: v0.2.1...v0.3.0

AioLM v0.2.1

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@github-actions github-actions released this 04 Oct 12:46

Windows x64 and Linux x86_64 packages are available in this release.

  • Add Linux DEB and AppImage downloads, desktop icon registration, and installation guides in English, Korean, Japanese and Chinese.
  • Correct memory estimates for long contexts and CUDA/ROCm multi-GPU attention buffers.
  • Display runtime RAM separately from RAM offload, with RAM totals and an explanation of reclaimable OS file cache.
  • Include the Linux native compatibility and model-lifecycle fixes validated on the current main branch.

Linux packages target Ubuntu 24.04 or newer on x86_64. Install the DEB for automatic application-menu and icon integration. AppImage users can register the verified file with python3 register-linux-desktop.py --appimage /path/to/AioLM.AppImage.

Windows installers and Linux packages are unsigned. Compare each downloaded file with checksums.txt from this release before installing or running it.

Installation guide · 한국어 설치 안내

AioLM v0.2.0

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@github-actions github-actions released this 02 Oct 16:04

AioLM 0.2.0 includes the desktop branding update and the latest usability and reliability improvements.

  • Collapse the desktop sidebar and customize chat personalization and desktop preferences.
  • Browse public benchmarks and import their run settings as profiles.
  • View compact model metadata summaries and expand details for complete values and attribution.
  • Stop MCP tool calls while waiting for approval or a tool response; cancellation also closes the approval prompt and server process.
  • Reclaim model, benchmark, runtime build, gateway and helper resources on cancellation and shutdown.
  • Clean up transient UI timers and release chat stream readers after completion or failure.

Windows installers are unsigned. Verify the SHA-256 values in checksums.txt before installation.

This release replaces the earlier 0.2.0 artifacts with a build of the current main branch.
If you already installed the earlier 0.2.0 build, download and run the new installer manually; the in-app updater only offers versions newer than the installed version.

AioLM v0.1.19

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@github-actions github-actions released this 02 Oct 03:38

Changes

  • Apply the Orchid Periwinkle design across desktop workspaces, with coordinated light and dark colors, a gradient brand mark, and refined shared controls.
  • Improve text wrapping, compact typography, button spacing, and input hover/focus treatments.
  • Distinguish information, success, warning, and destructive actions with restrained role colors.
  • Improve dropdown labels, keyboard navigation, and benchmark description accessibility.
  • Update the compatible brace-expansion dependency patch used by workbook exports.

Windows downloads

Windows x64 installers are unsigned. Verify the SHA-256 values in checksums.txt from this release.

Full changelog

AioLM v0.1.18

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@github-actions github-actions released this 29 Sep 15:57

벤치마크 화면과 결과 공유 흐름을 정리하고, 로컬 API 서버를 모델 실행과 독립적으로 사용할 수 있도록 개선했습니다.

  • 드롭다운, 버튼, 상태 표시와 진행 표시의 공통 디자인을 적용했습니다.
  • 선택한 모델 프로필과 실행 장치 사양을 벤치마크 화면에서 확인할 수 있습니다.
  • 모든 측정은 모델 준비 후 시작하며, 중단된 측정은 결과에서 제외합니다. 저장된 결과 이력을 삭제할 수 있습니다.
  • CSV·Excel 내보내기와 Markdown 표 복사를 개선하고, 결과에 불필요한 파일 경로가 포함되지 않도록 했습니다.
  • 입력 처리(Prefill/PP)와 출력 생성(Decode/TG) 용어를 통일했습니다.
  • 공유 대기열과 JSON 미리보기를 정리하고, 앱에서 관리 키를 직접 입력하지 않고 웹의 결과 수정·삭제 화면을 열 수 있습니다.
  • 로컬 API를 시작·중지하거나 포트를 변경해도 로드된 모델을 유지합니다. 연결 안내와 요청 예제를 개선했습니다.
  • 시작 시 업데이트 안내를 활동 패널에서 확인할 수 있습니다.

Windows 설치 파일은 서명되지 않았습니다. 다운로드 후 이 릴리스의 checksums.txt로 SHA-256 값을 확인할 수 있습니다.

전체 변경 내역

AioLM v0.1.17

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@github-actions github-actions released this 28 Sep 14:30

Windows installers are unsigned. Verify the SHA-256 values in checksums.txt from this release.

What's changed

  • Preview VRAM, RAM offload and SSD offload before loading a model. Estimates update with settings and explain capacity limits, unsupported layouts and assumptions; stored model file sizes are shown separately.
  • Make inherited defaults and customized profile settings easier to distinguish. Profile details group GPU placement and runtime arguments, and reset controls sit beside each setting's title.
  • Allow desktop, CLI and benchmark model startup up to ten minutes for loading and warmup, while reporting process exits promptly and preserving cancellation.
  • Simplify the chat composer and show the selected model in conversation session details.
  • Add first-run language, theme and model-folder setup. Keep app data together in the user data folder and save conversations as readable files.
  • Improve profile save comparisons, single-instance startup, tray restoration, uninstall data cleanup and corrected multi-GPU ROCm runtime packaging.

Resource estimates are planning guidance. Firmware-reserved or shared GPU memory and custom multi-GPU allocation ratios can reduce usable capacity compared with the displayed totals.

Validation

  • Frontend contracts, direct regression tests and 1,170 Vitest tests passed, alongside type checking, lint and production build.
  • Rust formatting, Clippy and automated tests passed. Live model and runtime-download checks remain opt-in and were not run.
  • Windows installers are built and verified by the release workflow.

Full changelog: v0.1.16...v0.1.17

AioLM v0.1.16

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@github-actions github-actions released this 23 Sep 00:29
239fea6

Windows installers are unsigned. Verify the SHA-256 values in checksums.txt from this release.

What's Changed

  • Release v0.1.16: model identity, response attribution and profile runtimes by @joowon-jang in #15

Full Changelog: v0.1.15...v0.1.16

AioLM v0.1.15

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@github-actions github-actions released this 21 Sep 16:32
73eae50

Changes

  • Create the default model folder automatically on first launch after installation.
  • Show Hugging Face GGUF models immediately in Discover, with downloads, likes, recently updated, and Trending sorting. Already installed files show an installed state instead of an enabled download button.
  • Explain missing models, runtimes, and split files beside disabled launch actions, with links to the relevant settings.
  • Add a setting to keep AioLM running in the system tray when its window closes.
  • Use prominent confirmation dialogs for discarding edits, saving profiles, and deleting profiles. Emphasize warnings and errors while retaining the bottom activity bar.
  • Display llama.cpp runtime versions, CPU Core/Thread counts, and consistent binary storage and timing units across the app and benchmark website.
  • Update the benchmark contract to 0.6.0 with optional physical CPU core counts; older records keep unknown counts unset.

Downloads

Windows x64 NSIS and MSI installers, install.ps1, and checksums.txt are attached below.

Windows installers are unsigned. Verify the SHA-256 values in checksums.txt from this release.

AioLM v0.1.14

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@github-actions github-actions released this 21 Sep 08:10
fef9d00

Windows installers are unsigned. Verify the SHA-256 values in checksums.txt from this release.

What's Changed

  • Release 0.1.14 with published launch options and runtime-default profiles by @joowon-jang in #11

Full Changelog: v0.1.13...v0.1.14