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GLLM Multimodal

Description

A library containing multimodal manager modules for handling modality-specific tasks.

Installation

Prerequisites

Mandatory:

  1. Python 3.11+ — Install here
  2. pip — Install here
  3. uv — Install here

Extras (required only for Artifact Registry installations):

  1. gcloud CLI (for authentication) — Install here, then log in using:
    gcloud auth login
    

Install from Artifact Registry

This option requires authentication via the gcloud CLI.

uv pip install \
  --extra-index-url "https://oauth2accesstoken:$(gcloud auth print-access-token)@glsdk.gdplabs.id/gen-ai-internal/simple/" \
  gllm-multimodal

Local Development Setup

Prerequisites

  1. Python 3.11+ — Install here

  2. pip — Install here

  3. uv — Install here

  4. gcloud CLI — Install here, then log in using:

    gcloud auth login
    
  5. Git — Install here

  6. Access to the GDP Labs SDK GitHub repository


1. Clone Repository

git clone git@github.com:GDP-ADMIN/gl-sdk.git
cd gl-sdk/libs/gllm-multimodal

2. Setup Authentication

Set the following environment variables to authenticate with internal package indexes:

export UV_INDEX_GEN_AI_INTERNAL_USERNAME=oauth2accesstoken
export UV_INDEX_GEN_AI_INTERNAL_PASSWORD="$(gcloud auth print-access-token)"
export UV_INDEX_GEN_AI_USERNAME=oauth2accesstoken
export UV_INDEX_GEN_AI_PASSWORD="$(gcloud auth print-access-token)"

3. Quick Setup

Run:

make setup

4. Activate Virtual Environment

source .venv/bin/activate

Local Development Utilities

The following Makefile commands are available for quick operations:

Install uv

make install-uv

Install Pre-Commit

make install-pre-commit

Install Dependencies

make install

Update Dependencies

make update

Run Tests

make test

Contributing

Please refer to the Python Style Guide for information about code style, documentation standards, and SCA requirements.

Metadata

Release files for gllm-multimodal-binary 0.3.50

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

Loss of provenance

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Built distributions (wheels)

Table of built distributions (wheels) for gllm-multimodal-binary 0.3.50
File Interpreter ABI Platform
gllm_multimodal_binary-0.3.50-cp313-cp313-manylinux_2_31_x86_64.whl CPython 3.13 CPython 3.13 Linux glibc 2.31+ x86-64 Details
gllm_multimodal_binary-0.3.50-cp311-cp311-manylinux_2_31_x86_64.whl CPython 3.11 CPython 3.11 Linux glibc 2.31+ x86-64 Details

Total release size: 5.6 MB

Release files / gllm_multimodal_binary-0.3.50-cp313-cp313-manylinux_2_31_x86_64.whl

Loss of provenance

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Download URL gllm_multimodal_binary-0.3.50-cp313-cp313-manylinux_2_31_x86_64.whl
Size 2.9 MB
Tags CPython 3.13 Linux glibc 2.31+ x86-64
SHA-256 checksum
How to use checksums
3a7429f223317c9bb93a048e5f4b6a5682eaf64bbe52085fe0065f32a8ef7c57
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dd8351dffbd537ec421e76bd6fbdd3848942470d5a3fc080b5f4117faa1ae973
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Yes
Uploaded via uv/0.8.24

Release files / gllm_multimodal_binary-0.3.50-cp311-cp311-manylinux_2_31_x86_64.whl

Loss of provenance

This file belongs to a release without provenance metadata, despite a prior release including this data.

We recommend further investigation before installing this file. View details.

Download URL gllm_multimodal_binary-0.3.50-cp311-cp311-manylinux_2_31_x86_64.whl
Size 2.7 MB
Tags CPython 3.11 Linux glibc 2.31+ x86-64
SHA-256 checksum
How to use checksums
df3e55204d9d73ebcccb4b53f21b70115219af51b277053eb542e9c31721ee9d
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ae0a92dd56a067b62b3f98f02bf55db9e3064a99c86c29b79e0d0b87658e9104
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Uploaded via uv/0.8.24

Security for gllm-multimodal-binary 0.3.50

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  • Removed 0.3.48 9 files Partial provenance
  • Added 0.3.50 2 files Without provenance

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