# ByteDance-Seed/Bagel

Open-source unified multimodal model

Repository: https://github.com/ByteDance-Seed/Bagel
Canonical: https://ross.abutalabs.com/products/bagel
Language: Python
License: Apache-2.0
License Family: permissive
Last push: 2026-05-04T17:01:02+00:00

## Health v2 (maintenance only)
Score: 55/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 80, release rhythm 35, longevity 35
- inputs: {"age_days": 503, "days_push": 121, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 6159, forks 545 (observed 2026-08-28T04:09:36.733379+00:00)

## What it is
BAGEL is an open-source unified multimodal foundation model with 7B active parameters (14B total) trained on interleaved multimodal data. It handles both multimodal understanding and text-to-image generation, including image editing and world-modeling tasks.

## Use cases
- generate images from text prompts
- understand and answer questions about images
- edit images with free-form instructions
- synthesize multiview images
- run a unified vision-language and image generation model locally

## When to choose
- you need one model for both multimodal understanding and image generation
- you want an open-source alternative to specialist text-to-image models like SD3
- you need advanced image editing or world-modeling capabilities

## When to avoid
- you only need lightweight image classification
- you lack GPU resources for a 14B-parameter model
- you need a production-ready hosted API rather than a research model

## Facets
- artifact type: library
- maturity: active
- function: machine-learning, deep-learning, llm-inference, image-processing, nlp
- domain: artificial-intelligence, large-language-models, computer-vision, image-processing, deep-learning
- platform: python
- tags: multimodal, vision-language-model, text-to-image, image-editing, foundation-model, world-model, gpu, linux

## Member repositories
- ByteDance-Seed/Bagel (main) score 55

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:36.733379+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:47:28.776595+00:00, confidence not recorded.
  - readme: https://github.com/ByteDance-Seed/Bagel (fetched 2026-08-28T04:09:36.733379+00:00, sha f55026150d76)
- Data as of 2026-08-30T08:39:29.467469+00:00.