jammi-server

CPU build of the Jammi engine server, packaged as a pip-installable wheel that ships the compiled jammi-server binary behind a jammi-server console script.

pip install jammi-server
jammi-server --help

The wheel bundles a prebuilt Linux x86_64 binary (manylinux_2_28 glibc floor) compiled with the broker and cloud-storage backends. For GPU-accelerated inference and fine-tuning, install jammi-server-cu12 instead — it provides the same jammi-server command built against the CUDA backend.

Metadata

Release files for jammi-server 0.51.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for jammi-server 0.51.0
File	Interpreter	ABI	Platform	Reset
jammi_server-0.51.0-py3-none-manylinux_2_28_x86_64.whl 57.7 MB Oct 1, 2026	Python 3	none	Linux glibc 2.28+ x86-64	Details
jammi_server-0.51.0-py3-none-manylinux_2_28_aarch64.whl 53.3 MB Oct 1, 2026	Python 3	none	Linux glibc 2.28+ ARM64	Details

Total release size: 111.0 MB

Release files / jammi_server-0.51.0-py3-none-manylinux_2_28_x86_64.whl

Download URL	jammi_server-0.51.0-py3-none-manylinux_2_28_x86_64.whl
Size	57.7 MB
Tags	Linux glibc 2.28+ x86-64 Python 3
SHA-256 checksum How to use checksums	`757335372a988e44cd3ac45e1536a49097395469aa6e8b9500abc04a0686a5e2`
BLAKE2b-256 checksum How to use checksums	`0b15e3708e8ee0f28394558c8fd5c0751f50ff552879bbd12183a907254ded91`
Upload date	Oct 1, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/f-inverse/jammi-ai
Publishing commit: github.com/f-inverse/jammi-ai/tree/d59014f3870dd2318ff8bc27139598f0243ee092

Workflow

Publishing configuration: github.com/f-inverse/jammi-ai/blob/d59014f3870dd2318ff8bc27139598f0243ee092/.github/workflows/pypi-server.yml
Publishing logs: github.com/f-inverse/jammi-ai/actions/runs/36802454313/attempts/1

Artifact

Subject: jammi_server-0.51.0-py3-none-manylinux_2_28_x86_64.whl
SHA-256 checksum: 757335372a988e44cd3ac45e1536a49097395469aa6e8b9500abc04a0686a5e2 Verifying attestations

Release files / jammi_server-0.51.0-py3-none-manylinux_2_28_aarch64.whl

Download URL	jammi_server-0.51.0-py3-none-manylinux_2_28_aarch64.whl
Size	53.3 MB
Tags	Linux glibc 2.28+ ARM64 Python 3
SHA-256 checksum How to use checksums	`ff13bbf12192caba305ade35d85d9bb8bef9480b2d35ae12d6836b952d3a8608`
BLAKE2b-256 checksum How to use checksums	`2b54a14bd00bc449a7b9ef67551c210f41dc0053ea7fb4054837d7a85bcbe0e2`
Upload date	Oct 1, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/f-inverse/jammi-ai
Publishing commit: github.com/f-inverse/jammi-ai/tree/d59014f3870dd2318ff8bc27139598f0243ee092

Workflow

Publishing configuration: github.com/f-inverse/jammi-ai/blob/d59014f3870dd2318ff8bc27139598f0243ee092/.github/workflows/pypi-server.yml
Publishing logs: github.com/f-inverse/jammi-ai/actions/runs/36802454313/attempts/1

Artifact

Subject: jammi_server-0.51.0-py3-none-manylinux_2_28_aarch64.whl
SHA-256 checksum: ff13bbf12192caba305ade35d85d9bb8bef9480b2d35ae12d6836b952d3a8608 Verifying attestations