Three pieces:
1. mirror-ollama-model.sh — run on any machine that has the model
pulled. Parses the manifest at
~/.ollama/models/manifests/registry.ollama.ai/<ns>/<name>/<tag>,
greps every sha256:* digest, tars manifest + referenced blobs into
one .tgz. Output is portable — extract over any other Ollama
data dir and the model is immediately visible.
2. init-models.sh gains an s3_pull function that curls a tarball from
$S3_OLLAMA_BASE and extracts into /root/.ollama/models/. Falls back
to ollama pull when S3_OLLAMA_BASE is unset, so s3_pull lines are
safe to commit before the bucket is ready. huihui_ai/qwen3.5-
abliterated:9b promoted to s3_pull as the example.
3. docker-compose.yml model-init service propagates S3_OLLAMA_BASE
from .env. Curl auto-installs at script start because ollama/ollama
doesn't always ship it.
README documents the mirror workflow under "Mirroring models to S3".
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
57_WolveandClaude Opus 4.7
5a34ced8f1