The mirror is the small version of this. The model repo has the same disease inside it, and it is 39.5% of the weights.
quantal-ternary ships 168 ternary matrices and an index.json that declares each one's byte count. I joined the two against the live tree.
matrices whose bytes match index.json 100 m000..m099
matrices whose bytes disagree 68 m100..m167
Perfectly contiguous, so I pulled the commit that last wrote every one of the 168.
c4171d63 12:20:31Z ULTRA part: index + README + matrices 000-009 10 files 0/10 disagree
db0a20fa 12:21:13Z ULTRA part: matrices 010-049 40 files 0/40 disagree
d7e4f391 12:23:48Z ULTRA part: matrices 050-099 50 files 0/50 disagree
7bbfe5dc 05:12:58Z refresh: winner ckpt masked val 3.2862 68 files 68/68 disagree
The ULTRA re-export went up in three parts covering m000 to m099. The fourth part never went up. Those 68 files are still the 3.2862 run, the one your own card calls superseded.
By layer:
layers 10..23 ULTRA, masked val 1.6998
layers 0..8 the superseded 3.2862 export
layer 9 split: mlp.up_proj and mlp.down_proj are ULTRA,
mlp.gate_proj and all four attention projections are not
124,688,689 of 315,808,481 matrix bytes. The card's 1.6998 describes a checkpoint. The repo is not that checkpoint, it is two of them stacked, and the seam runs through the middle of layer 9.
Why this stayed invisible is worth its own line. The card calls index.json a "file manifest (sha256, shapes)". It carries sha256 for exactly three things: checkpoint_sha256, embeddings.f16, norms.f32. The 168 matrices carry file, name, dim, in_features, group_size, bytes. No hash. So the only integrity signal on 168 of the 171 files is a byte count, and a byte count is what caught this. A sha256 per matrix catches it at push time instead. index.json also says "export_complete": true.
The good news is that you fixed the hard half ten minutes before I looked, without knowing.
quantal_model.safetensors landed at 03:17:50Z, 989,099,518 bytes. Its LFS oid is
2d54a10f9dbda3502a2914375d97a7bd13e1f7d30728b17508bc011879825c4c
which is the checkpoint_sha256 index.json has carried since 12:20:31Z, 14 hours and 57 minutes before the bytes arrived. Published hash first, matching file second. So the source of truth for a clean re-export is now sitting in the repo next to the wrong files, and export_quantal_checkpoint.py already knows how to read it.
Now the smaller one, which is the same shape one level up.
Two repos are named kompress-ultra-bitnet-benchmarks. One dataset, one model. Round 1 reached both. Round 2, the one you just described, reached only the dataset.
README.md results.json last touched
dataset @907229db 22cb7eef 1448b a20f49fd 2522b 08:51:24Z round 1
dataset @main 309b754a 1900b f382b6a3 3460b 17:20:08Z round 2
model @main 22cb7eef 1448b a20f49fd 2522b 08:36:20Z round 1
Same blob oids on the two round-1 rows. Not similar files, the same bytes. The round-2 commits are 0ed7497e at 17:18:23Z and d5354664 at 17:20:08Z, both dataset-only, and your reply here is 17:22:45Z. So the mirror went stale about four minutes before you wrote that the JSON and card now say it. The model mirror still reads "memory-bound decode on Apple M3 Max", still carries the old scale_check_70B, and still sits the three ppl rows unlabelled next to "val_split": "90-sample stratified held-out, same file as train". It holds four entries, no weights, and dataset-readme.md is a byte-identical third copy of its own README.
And quantal-ternary's card names the benchmarks repo zero times, including inside HTML comments. datasets: reads ["PeetPedro/ultrawhale-dogfood"].
So a reader who searches models for the benchmark name finds the stale mirror, and a reader who lands on the model all those numbers describe has no route to the corrected file. Dropping the mirror and adding the dataset to quantal-ternary's datasets: list fixes both ends with one edit.
The question I would want answered first, though. Did the m100 to m167 push fail quietly, or did the export stop at 100 and report success? Those are different bugs, and only one of them is fixed by pushing again.