# open-gigaai/giga-world-1

A Roadmap to Build World Models for Robot Policy Evaluation

Repository: https://github.com/open-gigaai/giga-world-1
Canonical: https://ross.abutalabs.com/products/giga-world-1
Language: Python
License: Apache-2.0
License Family: permissive
Last push: 2026-07-12T14:13:45+00:00

## Health v2 (maintenance only)
Score: 54/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 92, release rhythm 35, longevity 4
- inputs: {"age_days": 64, "days_push": 52, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, young
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1147, forks 93 (observed 2026-08-28T04:03:45.900737+00:00)

## What it is
GigaWorld-1 is an open-source framework providing training, inference, data processing, checkpoint conversion, and LoRA merge workflows for building robot world models used in robot policy evaluation. It is a roadmap-style project with models and datasets published on HuggingFace.

## Use cases
- train a world model for robot policy evaluation
- run inference with a robot world model
- convert and merge model checkpoints with LoRA
- prepare robot demonstration data for world model training
- evaluate robot policies in a learned simulator
- distill a video world model for faster inference

## When to choose
- you need to train or fine-tune world models for robotics on Linux GPUs
- you want an end-to-end pipeline from data preparation to inference for robot policy evaluation
- you want to reproduce or extend a published robot world model with open checkpoints and datasets

## When to avoid
- you need a general-purpose video generation tool unrelated to robotics
- you lack GPU hardware or a Linux environment
- you need a mature production system rather than a research roadmap with staged releases

## Facets
- artifact type: framework
- maturity: active
- function: machine-learning, deep-learning, llm-training, simulation, video-processing, gpu-computing
- domain: robotics, machine-learning, deep-learning, artificial-intelligence, simulation
- platform: python
- tags: world-models, robot-policy-evaluation, video-generation, lora, diffusion-models, model-distillation, pytorch, linux, gpu

## Member repositories
- open-gigaai/giga-world-1 (main) score 54

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:45.900737+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 2026-08-30T06:34:03.426768+00:00, confidence not recorded.
  - readme: https://github.com/open-gigaai/giga-world-1 (fetched 2026-08-28T04:03:45.900737+00:00, sha 7bf2e7308e4f)
- Data as of 2026-08-30T08:39:29.467469+00:00.