dispatch-fullrank-sftbase-e2e-step1000

Full-rank (1x, no compression) dispatch codec, e2e-trained on the SFT base model. This is the lossless sanity codec: it proves the dispatch codec recipe / objective / pipeline is clean, so any downstream gap at 2x is genuinely a rank/capacity effect, not a pipeline bug.

What it is

compression dispatch, compression_ratio: 1 (per-layer bottleneck = full hidden dim 2048), init: identity_truncated, stale_stride: 12.
base model models/sft-base-qwen3-30b-a3b (fullft-qwen3base-bf16 step-4000 backbone-hf). Do not load against Qwen3-30B-A3B-Instruct-2507.
training e2e, frozen backbone, objective lm0.25 + recon(KL) + router-KL, bs 64, lr 1e-5, seed 42, DP4 (world_size 16), step-1000.

Eval (lm-eval-harness, same protocol as the 2x codecs)

task	metric	full-rank (this)	no-codec target
gsm8k	exact_match strict	86.8	86.9
mmlu	acc	81.3	80.7
hellaswag	acc_norm	82.1	82.5
arc_easy	acc_norm	89.5	89.3
arc_challenge	acc_norm	68.9	69.1
AVG		81.7	81.6

Lossless within noise (gap ~0). Contrast the best 2x dispatch codec (trained-codecs/dispatch-2x-sftbase-e2e-step7000, avg 78.6, gap -3.0).

Files

compression.pt — codec state dict (load as init directly, no transform).
meta.json — training provenance (git commit, base model, compression config).