Apptainer pool for hamishivi/agent-task-recursive-task-synthesis

This repository hosts tmax-compatible SIF images and a unified download manifest. Training data and task archives are in hamishivi/agent-task-recursive-task-synthesis. The manifest includes earlier images hosted under hamishivi and new images hosted under TMaxxx; the downloader selects the correct repository and immutable commit for each image.

Apptainer images

The pool currently contains 1,281 / 29,501 verified Apptainer SIF images. Shared environments are stored once. Each published SIF passed apptainer inspect, a contained shell smoke check, and remote SHA256 verification. These checks do not constitute a full task evaluation.

Download apptainer/download_apptainer.py and run with Python 3.11+ and huggingface_hub installed:

python download_apptainer.py --repo TMaxxx/agent-task-recursive-task-synthesis --output ./sifs --allow-partial
export SWERL_APPTAINER_SIF_DIR="$PWD/sifs"

Omit --allow-partial to require a complete pool. Filenames follow tmax-private/geomean_mask image resolution. Task archives and the training split remain necessary. apptainer/manifest.jsonl records source references, SIF checksums, publication commits, and build provenance. Pending images cannot run from this pool yet. Indexes refresh periodically while builds are in progress.