{
  "author": "samuellarson",
  "github_id": "samuellarson",
  "name": "Int6 MLP3x Sliding Window",
  "blurb": "Int6 post-training quantization enables 3x MLP expansion (21.8M params in 16MB). Combined with train@2048 + sliding window eval + FP16 tied embeddings + Late-K passthrough.",
  "date": "2026-03-20",
  "val_loss": 1.95428963,
  "val_bpb": 1.15744040,
  "bytes_total": 15977717,
  "bytes_code": 51200
}