README.md

comoe-artifacts

Artifacts for communication-efficient-moe: dispatch all-to-all compression via learned linear codecs on a frozen Qwen3-30B-A3B, at 2x.

Base model: everything here pairs with the SFT'd base (models/sft-base-qwen3-30b-a3b/, no-codec 5-task avg 81.7). A previously uploaded exp6-iso206x codec was for Qwen/Qwen3-30B-A3B-Instruct-2507 (a different model) and has been removed to avoid the mismatch.

Structure

Path	What
models/sft-base-qwen3-30b-a3b/	frozen SFT'd base (fullft dolci); the training/eval backbone
offline-codecs/dispatch-2x-iso-init/	iso2x closed-form warm init
offline-codecs/dispatch-2x-recon010-init/	iso-recon@0.10 warm init (used by session configs)
offline-codecs/dispatch-2x-func-realloc-init/	Stage B functional-reallocated warm init
data/raw/, data/tokenized/	dolci-no-tools (raw arrow + tokenized qwen3-2048)
activation_cache/dolci-500k-s1234-step4000/	dispatch activation cache (for building codecs)
evals/	lm-eval JSON results per run

Codecs are the {compression.pt, meta.json} format the train/eval scripts expect.