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Skip training-only weights when downloading models - #9
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snapshot_download pulled every file in the repo, baking the ~388MB optimizer state (larger than the 195MB weights themselves) into the Docker image. Ignore optimizer_best.pkl and lr_scheduler_best.pkl; they are never touched at inference. Cuts the sign/sockeye-signwriting-to-text snapshot from 584MB to 196MB. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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What
snapshot_downloadpulled every file in each model repo, baking training-only artifacts into the Docker image. Forsign/sockeye-signwriting-to-textthat's a 388 MB optimizer state — larger than the 195 MB weights it ships alongside, and never touched at inference.Ignoring
optimizer_best.pklandlr_scheduler_best.pklcuts that model's snapshot from 584 MB → 196 MB.Why only this (and not multi-stage / bf16)
--no-cache-dir, apt lists cleaned). Nothing large to strip in a second stage.Verification
Fresh download with the ignore list: snapshot 584 MB → 196 MB, model loads and translates correctly (
AS14c20…→goodbye). Ruff + all 6 tests pass.🤖 Generated with Claude Code