# ATH-MaaS/Marco-o1

An Open Large Reasoning Model for Real-World Solutions

Repository: https://github.com/ATH-MaaS/Marco-o1
Canonical: https://ross.abutalabs.com/products/marco-o1
Language: Python
License: NOASSERTION
License Family: other
Last push: 2026-06-17T09:47:50+00:00

## Health v2 (maintenance only)
Score: 61/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 88, release rhythm 35, longevity 48
- inputs: {"age_days": 680, "days_push": 77, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1538, forks 81 (observed 2026-08-28T04:05:00.202787+00:00)

## What it is
Marco-o1 is an open large reasoning model from Alibaba International Digital Commerce, designed for o1-like chain-of-thought reasoning across math, physics, coding, and open-ended tasks. The repository provides model weights, training data, and tooling for building agentic applications with planning and function-call capabilities.

## Use cases
- run an open reasoning model for complex problem solving
- fine-tune a large reasoning model on custom data
- build agents with planning and function calling
- solve math and coding problems with chain-of-thought reasoning
- experiment with o1-style reasoning models
- evaluate multilingual reasoning performance

## When to choose
- you need an open-weights reasoning model you can self-host
- you want to study or extend o1-like reasoning approaches
- you need an agentic model with function call abilities

## When to avoid
- you need a small model for resource-constrained devices
- you only need simple chat without deep reasoning
- you require a permissive license without restrictions

## Facets
- artifact type: library
- maturity: active
- function: llm-inference, llm-training, machine-learning, agent-framework
- domain: large-language-models, artificial-intelligence
- platform: python
- tags: reasoning-model, open-weights, reinforcement-learning, chain-of-thought, alibaba, ai-agents, natural-language-processing, gpu, linux

## Member repositories
- ATH-MaaS/Marco-o1 (main) score 61

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:00.202787+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 2026-08-30T04:30:55.505078+00:00, confidence not recorded.
  - readme: https://github.com/ATH-MaaS/Marco-o1 (fetched 2026-08-28T04:05:00.202787+00:00, sha 7a8f996b2d3b)
- Data as of 2026-08-30T08:39:29.467469+00:00.