# MiniMax-AI/MiniMax-01

The official repo of MiniMax-Text-01 and MiniMax-VL-01, large-language-model & vision-language-model based on Linear Attention

Repository: https://github.com/MiniMax-AI/MiniMax-01
Canonical: https://ross.abutalabs.com/products/minimax-01
Homepage: https://www.minimax.io/
Language: Python
License: MIT
License Family: permissive
Topics: large-language-models, llm, minimax-text-01, minimax-vl-01, vision-language-model, vlm, llms
Last push: 2025-07-07T12:24:30+00:00

## Health v2 (maintenance only)
Score: 34/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 30, release rhythm 35, longevity 42
- inputs: {"age_days": 596, "days_push": 422, "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 3466, forks 332 (observed 2026-08-28T04:08:05.820678+00:00)

## What it is
Official repository for MiniMax-Text-01 and MiniMax-VL-01, open-weight large language and vision-language models built on a linear attention architecture with very long context support. It provides model weights, inference code, and usage examples for running the models locally.

## Use cases
- run a long-context LLM locally
- deploy an open-weight vision-language model
- experiment with linear attention architectures
- process images and text with one model
- self-host a large language model for inference

## When to choose
- you need open weights for a long-context LLM or VLM
- you want to study or build on linear attention models
- you need multimodal text+image understanding under an MIT license

## When to avoid
- you only want a hosted API without managing GPU infrastructure
- you need the newest MiniMax models, which are served via their platform rather than this repo
- you lack the GPU resources for a very large model

## Facets
- artifact type: library
- maturity: active
- function: llm-inference, machine-learning, deep-learning
- domain: large-language-models, artificial-intelligence, deep-learning
- platform: python
- tags: linear-attention, vision-language-model, open-weights, minimax-text-01, minimax-vl-01, long-context, gpu, linux

## Member repositories
- MiniMax-AI/MiniMax-01 (main) score 34

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:05.820678+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 2026-08-29T18:36:46.905286+00:00, confidence not recorded.
  - readme: https://github.com/MiniMax-AI/MiniMax-01 (fetched 2026-08-28T04:08:05.820678+00:00, sha df00d485b33c)
  - homepage: https://www.minimax.io/ (fetched 2026-08-29T09:30:52.678403+00:00, sha 4750f71d0331)
  - site_page: https://www.minimax.io/about (fetched 2026-08-29T09:30:52.687511+00:00, sha dea11ef0f24f)
  - site_page: https://platform.minimax.io/docs/api-reference/video-generation-v2-create (fetched 2026-08-29T09:30:52.689815+00:00, sha 75d5cfe870c0)
  - site_page: https://platform.minimax.io/docs/guides/text-generation (fetched 2026-08-29T09:30:52.691767+00:00, sha 260a4f53a7ef)
  - site_page: https://platform.minimax.io/docs/guides/video-generation (fetched 2026-08-29T09:30:52.693624+00:00, sha 7c0b7ec5a142)
  - site_page: https://platform.minimax.io/docs/guides/speech-voice-clone (fetched 2026-08-29T09:30:52.695525+00:00, sha 656927527880)
- Data as of 2026-08-30T08:39:29.467469+00:00.