{
 "model": "B-16M-sparse (github.com/re133/sparse-memory-lm)",
 "rows": 16777216,
 "dim": 384,
 "table_keys": [
  "layers.2.ffn.values.weight",
  "layers.6.ffn.values.weight",
  "layers.10.ffn.values.weight"
 ],
 "q4": "kernels.quantize_q4: per row d = fp16(max-abs value with sign / -8), code = clamp(round(w/d),-8,7)+8, low nibble = dims 0..dim/2-1, high nibble = dims dim/2..dim-1",
 "cpu_vs_gpu_q4_check": {
  "rows": 1048576,
  "packed_equal": true,
  "scales_equal": true
 },
 "sha256": {
  "hot_rows.npy": "7380ad9608603d05289e3698259a69472056723c7a35bb0fe925833b3e109fb5",
  "rest.pt": "c7ff78fa2b2afe3eaaab29e993d2b988628a858436e8d629364161cca242dbc8",
  "scales_q4.bin": "3a260537dc23ef4c7d73cfd358f9bd4dd9bd95ce89aede4d48ae73a683271294",
  "values_q4.bin": "67f8900ba65e34a2b6d93116f61636fd9ce43d13c96d5ed870f955bd6c54916c"
 }
}