FreshContextA context lab · Fife
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Rev
A · 2026-10-01

tagger-e2b-v1 · file← tagger-e2b-v1

LoRA adapters

The fine-tune's extra weights on their own. Downloaded with the model, never used here. Adapters-e2b.

Size
not recorded
Status
working copy deleted 2026-10-11; tarball still in Downloads
Scored runs
0
ResultsNever scored

This file never completed a scored run. Its record below says why.

The recordHow it was made · how it was served · what went wrong · what happened to it

Rebuilt from the lab's records by Claude, an AI model. The results above come straight from the automated runs. How these pages are made.

Fileadapters-e2b/ (adapters.safetensors, checkpoints at iterations 100, 200, 300, 400, adapter_config.json)
FormatMLX LoRA adapters, about 130 MB
Where fromdownloaded with the above as adapters-e2b.tar (136,461,824 B)
Statusworking copy deleted 2026-10-11; tarball still in Downloads
Hugging Facenone, never

Where it came from

  • Made by: Alan on the M4 Pro Mac mini, 2026-06-28, mlx_lm LoRA; recipe in family-tagger-e2b-v1.
  • Downloaded: 2026-08-23 20:53Z in the same curl loop as tagger-e2b-v1 fused MLX 4-bit model: adapters-e2b.tar HTTP 200, 136,461,824 B, about 61 MB/s, extracted into models/tagger-e2b-v1-dl/adapters-e2b/. A second copy sits in Downloads/adapters-e2b.tar with the same byte count and mtime 20:58Z, probably the Taildrop delivery the lab's notes record (reconstructed; ls -la Downloads, 2026-10-23).
  • Contents: adapters.safetensors (final), checkpoints 0000100_adapters.safetensors through 0000400_adapters.safetensors, and adapter_config.json; directory 130 MB.
  • Configuration read on the Mac Studio (the recipe): fine_tune_type lora, 16 layers, rank 8, scale 20.0, dropout 0.0, batch size 4, 400 iterations, learning rate 1e-4, Adam, max sequence 2048, gradient checkpointing, mask_prompt true, seed 0, save every 100, 50 steps per eval, 8 validation batches; model: mlx-community/gemma-4-e2b-it-4bit. The file also records absolute paths on the M4 Pro Mac mini, which are not reproduced here.
  • sha256: not on record. Hugging Face: none; must never be published. On 2026-10-07 the assistant noted that "adapter-only upload is the clean form" for Gemma-derivative terms, an argument overruled on 2026-10-23.

How it was served

labeldates (UTC)binary and versionctx / -np / KV / -fa / --jinja / --reasoning-formatharness profilewhy this label exists
nonenever loaded on recordnonenonenonethe adapters came with the fused model; no run applied them to a base. The fused model is the file that was served (tagger-e2b-v1 fused MLX 4-bit model)

Seats held: none.

Decisions

  • Downloaded with the fused model so a "tuned versus base" A/B could, if needed, apply the adapters to a base of the assistant's choosing; the A/B that was run used the fused file.
  • Kept with the working directory through 2026-09-16.
  • Deleted with the working directory on 2026-10-11; not published, never to be.

What went wrong

  • The 2026-10-07 inventory sub-agent opened the directory and listed the adapters among the Mac Studio's locally made artefacts, but they were made on the M4 Pro Mac mini, not on the Mac Studio; the same inventory notes "Trained 28 Jun on the M4 Pro Mac mini, not [the Mac Studio]".
  • adapter_config.json contains the trainer's home directory path in two fields; it must be scrubbed before the file leaves the private tree.

What happened to it

Trained 2026-06-28 → downloaded 2026-08-23 20:53Z → never applied on the Mac Studio → deleted 2026-10-11 with the working directory (no restore command in the RESTORE script) → restorable from Downloads/adapters-e2b.tar (136,461,824 B, present 2026-10-23) or the M4 Pro Mac mini's fresh-context/distill/adapters-e2b/.