# PKU-Alignment/align-anything

Align Anything: Training All-modality Model with Feedback

Repository: https://github.com/PKU-Alignment/align-anything
Canonical: https://ross.abutalabs.com/products/align-anything
Language: Python
License: Apache-2.0
License Family: permissive
Topics: large-language-models, multimodal, rlhf, chameleon, dpo, vision-language-model
Last push: 2025-11-27T06:50:36+00:00

## Health v2 (maintenance only)
Score: 48/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 54, release rhythm 35, longevity 55
- inputs: {"age_days": 780, "days_push": 279, "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 4667, forks 505 (observed 2026-08-28T04:08:56.551535+00:00)

## What it is
Align-Anything is a modular Python framework for aligning any-to-any (all-modality) large models with human intentions and values using feedback-based training. It supports fine-tuning across text, image, video, and audio modalities with algorithms like SFT, DPO, PPO, and rule-based RL.

## Use cases
- fine-tune a vision-language model with DPO
- run RLHF training on a multimodal model
- align an audio or video model with human preferences
- train an O1-like reasoning model with SFT
- apply rule-based reinforcement learning like DeepSeek-R1
- evaluate aligned multimodal models
- interact with multimodal models via a CLI

## When to choose
- you need to align any-to-any multimodal models with human feedback
- you want a modular framework supporting SFT, DPO, PPO, and RLHF
- you are doing research on multimodal model alignment
- you need fine-tuning support for image, video, and audio models

## When to avoid
- you only need inference without training or alignment
- you lack GPU resources for large model training
- you need a simple single-modality text fine-tuning pipeline with minimal setup

## Facets
- artifact type: framework
- maturity: active
- function: llm-training, machine-learning, deep-learning, cli
- domain: large-language-models, machine-learning, deep-learning, artificial-intelligence
- platform: python
- tags: rlhf, dpo, sft, multimodal, vision-language-model, alignment, fine-tuning, any-to-any-models, gpu, linux

## Member repositories
- PKU-Alignment/align-anything (main) score 48

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:56.551535+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 2026-08-29T18:19:24.533995+00:00, confidence not recorded.
  - readme: https://github.com/PKU-Alignment/align-anything (fetched 2026-08-28T04:08:56.551535+00:00, sha 85a4e301ada7)
- Data as of 2026-08-30T08:39:29.467469+00:00.