# alibaba/AliceMind

ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab

Repository: https://github.com/alibaba/AliceMind
Canonical: https://ross.abutalabs.com/products/alicemind
Language: Python
License: Apache-2.0
License Family: permissive
Topics: nlp, bert, natural-language-processing, deep-learning
Last push: 2024-03-19T01:51:23+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 1930, "days_push": 898, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2041, forks 301 (observed 2026-08-28T04:06:08.525145+00:00)

## What it is
AliceMind is Alibaba's collection of pre-trained encoder-decoder language models and related NLP techniques, including StructBERT, PALM, VECO, and multimodal models like mPLUG. It also provides fine-tuning methods and model compression techniques developed by Alibaba's DAMO Academy.

## Use cases
- download pretrained chinese language models
- fine-tune bert-style models for nlp tasks
- compress large language models via pruning
- apply parameter-efficient fine-tuning
- run cross-lingual text understanding
- build document understanding models

## When to choose
- you need Alibaba's pretrained Chinese or multilingual NLP models
- you want research-grade fine-tuning and compression methods with paper backing
- you work with encoder-decoder architectures in Python

## When to avoid
- you need a production LLM serving stack rather than research models
- you prefer actively maintained mainstream libraries like Hugging Face Transformers
- you need English-only models with broad community support

## Facets
- artifact type: library
- maturity: maintenance
- function: machine-learning, deep-learning, nlp, llm-training, transformers
- domain: machine-learning, deep-learning, large-language-models
- platform: python
- tags: pretrained-models, encoder-decoder, model-compression, fine-tuning, multimodal, chinese-nlp, research, natural-language-processing

## Member repositories
- alibaba/AliceMind (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:08.525145+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 2026-08-30T02:58:19.655861+00:00, confidence not recorded.
  - readme: https://github.com/alibaba/AliceMind (fetched 2026-08-28T04:06:08.525145+00:00, sha f58cc1f41163)
- Data as of 2026-08-30T08:39:29.467469+00:00.