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lupodevelop/echo-mdlm-27m-ladder
echo-mdlm-27m-ladder is a fill-mask model from lupodevelop. Use it when you need the model to fill a missing word. It is set up for echo-1.58. The card lists the license as apache-2.0.
A bundle of 27M-parameter checkpoints (dmodel 448, 8 layers) that back the paper's mechanistic results: the recovery ablation, the multi-epoch repetition ladder (1 to 20 epochs on a fixed 75M-token pool), the techniqu…
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Updated Jul 20, 2026
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From the Hugging Face model README
A bundle of 27M-parameter checkpoints (d_model 448, 8 layers) that back the paper's
mechanistic results: the recovery ablation, the multi-epoch repetition ladder (1 to 20
epochs on a fixed 75M-token pool), the technique arms, and the fresh-data baselines. Each
file is bfloat16, paired with its FP16 twin where relevant. These are provenance artifacts for
reproducing the tables and figures, not standalone models. See
https://github.com/lupodevelop/echo-1.58 for the code that consumes them and
results/RESULTS.md for the numbers.
fp16_e{1,5,10,20}.pt, tern_e{5,10,20}.pt, rec_e{5,10}.pt repetition ladderrec_e5_lr3.pt, tern_e5_lr3.pt, rec_e5_vsched.pt, rec_e5_lr8.pt, rec_e5_rewarm.pt
technique and learning-rate arms