urls-250m โ€” a URL language model for lossless compression

246,087,680 parameters: 12 layers ร— 1280 wide, 20 heads, SwiGLU MLP, tied 8,192-entry byte-level BPE vocabulary (structural pre-split, hosts stored TLD-first), learned absolute positions reset at every <eos>, so each URL is its own context. Shipped as a 124.8 MiB int4-g64 artifact (.nurl v3: 34 bytes per 64 weights, f16 scales) that the browser codec streams with exact integer dot products, making encode and decode bit-identical.

Objective: bits per character on held-out URLs (the compression ratio), decoded on the client in under a second.

Training

data ks46/urls-tokenized shards 0โ€“39, 19.9B tokens โ‰ˆ 561M URLs, one pass, seeded order
optimizer AdamW ฮฒ(0.9, 0.95), weight decay 0.01, peak LR 0.0006, warmup 1000, linear decay over the last 10%
batch 64 windows ร— 512 tokens ร— 8 GPUs = 262,144 tokens per iteration, 76,000 iterations
tail 7,600 quantisation-aware iterations on the exact int4-g64 grid at LR 6e-05
hardware 8ร— RTX 5090 (PCIe, no NVLink), bf16 autocast, ~680k tokens/s
code linklet training/ at git unknown

Checkpoints

checkpoints/ckpt-i<iter>.pt are immutable snapshots every 4,000 iterations (1.05B tokens), stable-phase weights with optimizer state, loadable by training/train.py (run.init=) for decay or fine-tuning. ckpt-fp.pt is the end of the full-precision phase; ckpt.pt is the final model after the QAT tail. Eval is bits/char on a fixed 2,000-URL held-out slice (shard 512, even-stride sample).

file tokens eval bits/char
ckpt-i004000.pt 1.05B nan
ckpt-i020000.pt 5.24B nan
ckpt-i040000.pt 10.49B nan
ckpt-i060000.pt 15.73B nan
ckpt-i068000.pt 17.83B nan
ckpt-i072000.pt 18.87B nan
ckpt-i080000.pt 20.97B nan

Final evaluation

fp32: 1.2629 bits/char over 99926 URLs (74 skipped)
kernel_sim(int4): 1.26372 bits/char
kernel: 1.2952 bits/char (rust/nurlcheck) over 500 URLs, artifact 124.8 MiB

model/linklet-target-base.nurl is the packed artifact; model/tokenizer/ the tokenizer. Every number above is copied from manifest.json, the run's provenance record.

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Dataset used to train ks46/urls-250m