Skip to content

Releases

Hypnos v0.7.2

Choose a tag to compare

@github-actions github-actions released this 03 Nov 00:01

Prebuilt archives for v0.7.2. Unpack, then follow README.txt inside
(download models with scripts/fetch-models, run hypnos, open http://127.0.0.1:9999).

Archive Needs
linux-x64-cuda glibc 2.39+, an NVIDIA GPU from Turing on (RTX 20+), driver 570+, CUDA 12 runtime (cudart, cuBLAS), libgomp1
windows-x64-cuda an NVIDIA GPU from Turing on (RTX 20+), driver 570+, plus windows-x64-cuda12-runtime.zip unpacked beside hypnos.exe (or the CUDA Toolkit 12.x)
macos-arm64-metal Apple Silicon, macOS 14+

Desktop app (a chat client with live server stats, with the server above inside: it
starts it for you and downloads models on first run; the Windows app carries the CUDA
runtime, the Linux .deb needs it installed as the archive does; the .AppImage
has no server inside yet and connects to one you run):
hypnos-desktop-*-macos-arm64.dmg, -windows-x64.msi / .setup.exe,
-linux-x64.deb / .AppImage. The macOS app and server are signed and notarized. The Windows installers are not signed: choose More info > Run anyway.

Document conversion on the GPU (docling with device = "gpu", off by default) additionally
needs driver 580+, the CUDA 13 runtime and cuDNN 9 for CUDA 13; see README.txt in the archive.

Docker (CUDA): docker pull ghcr.io/advancedlogic/hypnos:0.7.2

The binaries link espeak-ng statically, so each archive is distributed under the GNU GPL
v3 or later (text included); Hypnos's own code is MIT OR Apache-2.0. Corresponding source:
https://github.com/advancedlogic/hypnos/tree/v0.7.2

Hypnos v0.7.1

Choose a tag to compare

@github-actions github-actions released this 01 Nov 21:06

Prebuilt archives for v0.7.1. Unpack, then follow README.txt inside
(download models with scripts/fetch-models, run hypnos, open http://127.0.0.1:9999).

Archive Needs
linux-x64-cuda glibc 2.39+, an NVIDIA GPU from Turing on (RTX 20+), driver 570+, CUDA 12 runtime (cudart, cuBLAS), libgomp1
windows-x64-cuda an NVIDIA GPU from Turing on (RTX 20+), driver 570+, plus windows-x64-cuda12-runtime.zip unpacked beside hypnos.exe (or the CUDA Toolkit 12.x)
macos-arm64-metal Apple Silicon, macOS 14+

Desktop app (a chat client with live server stats; it connects to a running Hypnos):
hypnos-desktop-*-macos-arm64.dmg, -windows-x64.msi / .setup.exe,
-linux-x64.deb / .AppImage. The macOS app and server are signed and notarized. The Windows installers are not signed: choose More info > Run anyway.

Document conversion on the GPU (docling with device = "gpu", off by default) additionally
needs driver 580+, the CUDA 13 runtime and cuDNN 9 for CUDA 13; see README.txt in the archive.

Docker (CUDA): docker pull ghcr.io/advancedlogic/hypnos:0.7.1

The binaries link espeak-ng statically, so each archive is distributed under the GNU GPL
v3 or later (text included); Hypnos's own code is MIT OR Apache-2.0. Corresponding source:
https://github.com/advancedlogic/hypnos/tree/v0.7.1

Hypnos v0.6.0

Choose a tag to compare

@github-actions github-actions released this 01 Nov 16:09

Prebuilt archives for v0.6.0. Unpack, then follow README.txt inside
(download models with scripts/fetch-models, run hypnos, open http://127.0.0.1:9999).

Archive Needs
linux-x64-cuda glibc 2.39+, an NVIDIA GPU from Turing on (RTX 20+), driver 570+, CUDA 12 runtime (cudart, cuBLAS), libgomp1
windows-x64-cuda an NVIDIA GPU from Turing on (RTX 20+), driver 570+, plus windows-x64-cuda12-runtime.zip unpacked beside hypnos.exe (or the CUDA Toolkit 12.x)
macos-arm64-metal Apple Silicon, macOS 14+

Desktop app (a chat client with live server stats; it connects to a running Hypnos):
hypnos-desktop-*-macos-arm64.dmg, -windows-x64.msi / .setup.exe,
-linux-x64.deb / .AppImage. The macOS app and server are signed and notarized. The Windows installers are not signed: choose More info > Run anyway.

Document conversion on the GPU (docling with device = "gpu", off by default) additionally
needs driver 580+, the CUDA 13 runtime and cuDNN 9 for CUDA 13; see README.txt in the archive.

Docker (CUDA): docker pull ghcr.io/advancedlogic/hypnos:0.6.0

The binaries link espeak-ng statically, so each archive is distributed under the GNU GPL
v3 or later (text included); Hypnos's own code is MIT OR Apache-2.0. Corresponding source:
https://github.com/advancedlogic/hypnos/tree/v0.6.0

Engine builds (CI)

Engine builds (CI) Pre-release
Pre-release

Choose a tag to compare

@github-actions github-actions released this 01 Nov 21:28

Prebuilt llama.cpp and stable-diffusion.cpp for CI and the release builds (BUILD-13, .github/actions/engine-cache). Not a release: nothing here is meant to be downloaded by hand.

Hypnos v0.4.0

Choose a tag to compare

@github-actions github-actions released this 31 Oct 18:46

Prebuilt archives for v0.4.0. Unpack, then follow README.txt inside
(download models with scripts/fetch-models, run hypnos, open http://127.0.0.1:9999).

Archive Needs
linux-x64-cuda glibc 2.39+, NVIDIA driver 570+, CUDA 12 runtime (cudart, cuBLAS), libgomp1
windows-x64-cuda NVIDIA driver 570+, plus windows-x64-cuda12-runtime.zip unpacked beside hypnos.exe (or the CUDA Toolkit 12.x)
macos-arm64-metal Apple Silicon, macOS 14+

Desktop app (a chat client with live server stats; it connects to a running Hypnos):
hypnos-desktop-*-macos-arm64.dmg, -windows-x64.msi / .setup.exe,
-linux-x64.deb / .AppImage. The macOS app and server are signed and notarized. The Windows installers are not signed: choose More info > Run anyway.

Document conversion on the GPU (docling with device = "gpu", off by default) additionally
needs driver 580+, the CUDA 13 runtime and cuDNN 9 for CUDA 13; see README.txt in the archive.

Docker (CUDA): docker pull ghcr.io/advancedlogic/hypnos:0.4.0

The binaries link espeak-ng statically, so each archive is distributed under the GNU GPL
v3 or later (text included); Hypnos's own code is MIT OR Apache-2.0. Corresponding source:
https://github.com/advancedlogic/hypnos/tree/v0.4.0

Hypnos v0.3.0

Choose a tag to compare

@github-actions github-actions released this 31 Oct 08:06

Prebuilt archives for v0.3.0. Unpack, then follow README.txt inside
(download models with scripts/fetch-models, run hypnos, open http://127.0.0.1:9999).

Archive Needs
linux-x64-cuda glibc 2.39+, NVIDIA driver 570+, CUDA 12 runtime (cudart, cuBLAS), libgomp1
windows-x64-cuda NVIDIA driver 570+, plus windows-x64-cuda12-runtime.zip unpacked beside hypnos.exe (or the CUDA Toolkit 12.x)
macos-arm64-metal Apple Silicon, macOS 14+

Desktop app (a chat client with live server stats; it connects to a running Hypnos):
hypnos-desktop-*-macos-arm64.dmg, -windows-x64.msi / .setup.exe,
-linux-x64.deb / .AppImage. The macOS app is not notarized: open it once with System Settings > Privacy & Security > Open Anyway. The Windows installers are not signed: choose More info > Run anyway.

Document conversion on the GPU (docling with device = "gpu", off by default) additionally
needs driver 580+, the CUDA 13 runtime and cuDNN 9 for CUDA 13; see README.txt in the archive.

Docker (CUDA): docker pull ghcr.io/advancedlogic/hypnos:0.3.0

The binaries link espeak-ng statically, so each archive is distributed under the GNU GPL
v3 or later (text included); Hypnos's own code is MIT OR Apache-2.0. Corresponding source:
https://github.com/advancedlogic/hypnos/tree/v0.3.0

Hypnos v0.1.0

Choose a tag to compare

@github-actions github-actions released this 30 Oct 15:55

Prebuilt archives for v0.1.0. Unpack, then follow README.txt inside
(download models with scripts/fetch-models, run hypnos, open http://127.0.0.1:8080).

Archive Needs
linux-x64-cuda glibc 2.39+, NVIDIA driver 570+, CUDA 12 runtime (cudart, cuBLAS), libgomp1
windows-x64-cuda NVIDIA driver 570+, plus windows-x64-cuda12-runtime.zip unpacked beside hypnos.exe (or the CUDA Toolkit 12.x)
macos-arm64-metal Apple Silicon, macOS 14+

Document conversion on the GPU (docling with device = "gpu", off by default) additionally
needs driver 580+, the CUDA 13 runtime and cuDNN 9 for CUDA 13; see README.txt in the archive.

Docker (CUDA): docker pull ghcr.io/advancedlogic/hypnos:0.1.0

The binaries link espeak-ng statically, so each archive is distributed under the GNU GPL
v3 or later (text included); Hypnos's own code is MIT OR Apache-2.0. Corresponding source:
https://github.com/advancedlogic/hypnos/tree/v0.1.0