An NLA trained with random-length truncation of the verbalizer's output, so the most important information comes first. Checkpoints, data, baseline.
Smitty PRO
syvb
AI & ML interests
None yet
Recent Activity
updated a dataset 12 days ago
syvb/head-nla-qwen3-8b updated a model 18 days ago
syvb/head-nla-qwen3-8b-l24-mtry-ar published a model 18 days ago
syvb/head-nla-qwen3-8b-l24-mtry-arOrganizations
None yet
An NLA trained with random-length truncation of the verbalizer's output, so the most important information comes first. Checkpoints, data, baseline.
16 repeated injection markers w/ per-slot learned affine vs 1-slot control. Warm-started from nanonla-qwen3-8b-L24-av.
v2 item-truncation matryoshka NLA (Qwen2.5-7B L20): warm-start AV verbalizer + AR critic checkpoints, warm-start data, base NLA.