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AIFS

ECMWF
open weights / Overall score: 1.7

AIFS is the European Centre for Medium-Range Weather Forecasts' data-driven forecasting system, a graph-neural-network encoder and decoder around a sliding-window transformer processor. AIFS Single v1.0 is the first operationally supported version, runs four times daily beside ECMWF's physics-based model, and ships its checkpoint alongside the Anemoi pretraining and fine-tuning configurations that produced it.

Verified 2026-09-10 via the Hugging Face model card and Hub API.

Openness

3 high confidence
3.0
weights
open(CC-BY-4.0 ungated aifs-single-mse-1.0.ckpt)
data
documented-not-released(ERA5 1979-2022 for pretraining and operational IFS analyses 2016-2022 for fine-tuning, with the full input and output field list
code
partial(config_pretraining.yaml and config_finetuning.yaml ship beside the checkpoint with pinned Anemoi versions and both stage commands, but no data-preparation recipe - the commands begin DATASETS_PATH=??????? and no anemoi-datasets build ships)
license
CC-BY-4.0(permissive non-OSI)

ECMWF publishes both training-stage configs beside the checkpoint - pinned Anemoi versions, learning-rate schedules, step counts and the commands that run them - which is more than most of the category ships. It is recorded as partial rather than open because the rubric's `open` asks for data prep, training recipe and configs, and the data-preparation half does not ship: both commands begin `export DATASETS_PATH=???????` with no anemoi-datasets build to fill it. Against the category's other `open` records - presto's end-to-end data-generation pipeline, mattergen's full preprocessing-to-evaluation pipeline - two YAMLs and a pinned third-party trainer do not reach the same bar.

  • https://huggingface.co/ecmwf/aifs-single-1.0/raw/main/README.md recorded 2026-09-10

    "These model weights are published under a Creative Commons Attribution 4.0 International (CC BY 4.0)" while notebooks and scripts are Apache 2.0; gives the pretraining command anemoi-training train --config-name=config_pretraining.yaml against pinned anemoi-training 0.3.1, anemoi-models 0.4.0 and anemoi-graphs 0.4.4, then the fine-tuning stage; and details pretraining on ERA5 1979-2022 followed by rollout on operational IFS analyses 2016-2022.

  • https://huggingface.co/api/models/ecmwf/aifs-single-1.0 recorded 2026-09-10

    license: cc-by-4.0; gated: false; private: false; siblings include aifs-single-mse-1.0.ckpt, config_pretraining.yaml and config_finetuning.yaml.

Adoption

1 high confidence
1.0

365 downloads in the trailing 30 days for the declared operational checkpoint, against 53 likes.

Capability

2 high confidence
2.0

One attribute. The MSE-trained model predicts a fixed forecast target rather than generating, thirteen pressure levels are vertical structure rather than a second scale, and ERA5 with operational IFS analyses is one data system.

Verified 2026-09-10