Phase-1 judge checkpoints (1B-token corpus, wave A)
LoRA judge adapters for the stock JetLM/SDAR-30B-A3B-Chat-b32 @ c351bbc (block 32), trained with
code/corpus1b/train_c1b.py from github.com/NoviceCoderInfinity/diffusion-moe-general-expert (branch
phase1-datacorpus). The drafter they judge is the stock JetLM/SDAR-1.7B-Chat-b32 @ 2c83c05.
Every folder <run>/<checkpoint>/ is a complete checkpoint: adapter.safetensors + adapter_config.json
(LoRA r32 / alpha 64 on q, k, v, o in all 48 layers + the draft flag) and trainer_state.pt (AdamW state,
token count) + trainer_state.json, so it can be both used and resumed (--resume / --continue-from).
<run>/config.json is the run's full configuration. The adapter is flag-gated: load it with
draftalign.adapter.load_adapter and never merge it (AGENTS.md 9(e)). tok_<12 digits> = corpus tokens seen.
The training corpus is the public dataset repo Arushhh/c1b-judge-corpus-waveA.
| checkpoint | tokens | step | verified on the Hub (UTC) |
|---|---|---|---|
main/roll_00000278 |
0.50M | 278 | 2026-09-28 22:34 |
main/roll_00000547 |
1.00M | 547 | 2026-09-28 22:34 |
main/roll_00000824 |
1.50M | 824 | 2026-09-28 23:05 |
main/tok_000001840000 |
1.84M | 1019 | 2026-09-28 23:05 |
main/roll_00001107 |
2.00M | 1107 | 2026-09-28 23:36 |
main/roll_00001378 |
2.50M | 1378 | 2026-09-28 23:36 |
main/roll_00001657 |
3.01M | 1657 | 2026-09-29 00:06 |
main/roll_00001929 |
3.51M | 1929 | 2026-09-29 00:06 |
main/roll_00002200 |
4.01M | 2200 | 2026-09-29 00:37 |
main/roll_00002470 |
4.51M | 2470 | 2026-09-29 00:37 |
main/roll_00002739 |
5.01M | 2739 | 2026-09-29 01:08 |
main/roll_00003019 |
5.51M | 3019 | 2026-09-29 01:08 |
main/roll_00003291 |
6.01M | 3291 | 2026-09-29 01:08 |
main/roll_00003563 |
6.51M | 3563 | 2026-09-29 01:39 |
main/roll_00003840 |
7.01M | 3840 | 2026-09-29 01:39 |
main/roll_00004111 |
7.51M | 4111 | 2026-09-29 01:39 |
main/tok_000008000000 |
8.00M | 4371 | 2026-09-29 01:39 |
main/roll_00004373 |
8.02M | 4373 | 2026-09-29 01:38 |
main/roll_00004442 |
8.52M | 4442 | 2026-09-29 01:38 |
main/roll_00004512 |
9.02M | 4512 | 2026-09-29 01:45 |
main/roll_00004579 |
9.52M | 4579 | 2026-09-29 01:45 |
main/roll_00004648 |
10.02M | 4648 | 2026-09-29 01:46 |
main/roll_00004718 |
10.53M | 4718 | 2026-09-29 01:46 |
main/roll_00004787 |
11.04M | 4787 | 2026-09-29 01:46 |
main/roll_00004856 |
11.54M | 4856 | 2026-09-29 01:46 |
main/tok_000011790000 |
11.79M | 4889 | 2026-09-29 06:47 |
main/roll_00005163 |
13.80M | 5163 | 2026-09-29 06:47 |
main/roll_00005566 |
16.47M | 5566 | 2026-09-29 07:03 |
main/roll_00005876 |
18.48M | 5876 | 2026-09-29 07:28 |
main/roll_00006185 |
20.48M | 6185 | 2026-09-29 07:48 |
main/roll_00006492 |
22.48M | 6492 | 2026-09-29 08:08 |
main/roll_00006875 |
24.99M | 6875 | 2026-09-29 08:39 |
main/roll_00007152 |
26.79M | 7152 | 2026-09-29 08:59 |
main/final |
28.50M | 7418 | 2026-09-29 09:16 |
main_128m/roll_00007723 |
30.50M | 7723 | 2026-09-29 21:59 |
main_128m/tok_000032000000 |
32.00M | 7953 | 2026-09-29 22:14 |
main_128m/roll_00007982 |
32.52M | 7982 | 2026-09-29 22:20 |
main_128m/roll_00008059 |
34.53M | 8059 | 2026-09-29 22:30 |
main_128m/roll_00008136 |
36.54M | 8136 | 2026-09-29 22:45 |
main_128m/roll_00008213 |
38.55M | 8213 | 2026-09-29 22:55 |
main_128m/roll_00008290 |
40.56M | 8290 | 2026-09-29 23:11 |
main_128m/roll_00008367 |
42.58M | 8367 | 2026-09-29 23:21 |
main_128m/roll_00008444 |
44.59M | 8444 | 2026-09-29 23:36 |
main_128m/roll_00008521 |
46.59M | 8521 | 2026-09-29 23:47 |
main_128m/roll_00008598 |
48.61M | 8598 | 2026-09-30 00:02 |
main_128m/roll_00008676 |
50.63M | 8676 | 2026-09-30 00:12 |
main_128m/roll_00008752 |
52.63M | 8752 | 2026-09-30 00:27 |
main_128m/roll_00008829 |
54.65M | 8829 | 2026-09-30 00:38 |
main_128m/roll_00008906 |
56.67M | 8906 | 2026-09-30 00:53 |
main_128m/roll_00008984 |
58.68M | 8984 | 2026-09-30 01:03 |
main_128m/roll_00009060 |
60.68M | 9060 | 2026-09-30 01:19 |
main_128m/roll_00009138 |
62.70M | 9138 | 2026-09-30 01:29 |
main_128m/roll_00009215 |
64.70M | 9215 | 2026-09-30 01:44 |
main_128m/roll_00009292 |
66.72M | 9292 | 2026-09-30 01:54 |
main_128m/roll_00009370 |
68.74M | 9370 | 2026-09-30 02:10 |
main_128m/roll_00009447 |
70.76M | 9447 | 2026-09-30 02:20 |
main_128m/roll_00009525 |
72.77M | 9525 | 2026-09-30 02:34 |
main_128m/roll_00009602 |
74.78M | 9602 | 2026-09-30 02:45 |
main_128m/roll_00009678 |
76.78M | 9678 | 2026-09-30 03:01 |
main_128m/roll_00009755 |
78.80M | 9755 | 2026-09-30 03:11 |
main_128m/roll_00009832 |
80.82M | 9832 | 2026-09-30 03:26 |
main_128m/roll_00009909 |
82.82M | 9909 | 2026-09-30 03:36 |
main_128m/roll_00009987 |
84.84M | 9987 | 2026-09-30 03:51 |
main_128m/roll_00010063 |
86.84M | 10063 | 2026-09-30 04:02 |
main_128m/roll_00010140 |
88.84M | 10140 | 2026-09-30 04:17 |
main_128m/roll_00010218 |
90.86M | 10218 | 2026-09-30 04:27 |
main_128m/roll_00010295 |
92.87M | 10295 | 2026-09-30 04:42 |
main_128m/roll_00010372 |
94.88M | 10372 | 2026-09-30 04:53 |
main_128m/roll_00010449 |
96.89M | 10449 | 2026-09-30 05:07 |
main_128m/roll_00010526 |
98.91M | 10526 | 2026-09-30 05:18 |
main_128m/roll_00010603 |
100.93M | 10603 | 2026-09-30 05:33 |
main_128m/roll_00010680 |
102.94M | 10680 | 2026-09-30 05:43 |
main_128m/roll_00010756 |
104.94M | 10756 | 2026-09-30 05:54 |
main_128m/roll_00010834 |
106.97M | 10834 | 2026-09-30 06:08 |
main_128m/roll_00010912 |
109.00M | 10912 | 2026-09-30 06:24 |
main_128m/roll_00010988 |
111.00M | 10988 | 2026-09-30 06:34 |
main_128m/roll_00011066 |
113.02M | 11066 | 2026-09-30 06:50 |
main_128m/roll_00011144 |
115.04M | 11144 | 2026-09-30 07:00 |
main_128m/roll_00011221 |
117.06M | 11221 | 2026-09-30 07:10 |
main_128m/roll_00011298 |
119.07M | 11298 | 2026-09-30 07:25 |
main_128m/roll_00011375 |
121.07M | 11375 | 2026-09-30 07:36 |
main_128m/roll_00011452 |
123.08M | 11452 | 2026-09-30 07:51 |
main_128m/roll_00011540 |
125.10M | 11540 | 2026-09-30 08:06 |
main_128m/roll_00011633 |
127.10M | 11633 | 2026-09-30 08:21 |
main_128m/final |
128.00M | 11675 | 2026-09-30 08:27 |
main_128m/tok_000128000000 |
128.00M | 11675 | 2026-09-30 08:27 |
Model tree for Arushhh/c1b-judge-lora-sdar30b-b32
Base model
JetLM/SDAR-30B-A3B-Chat-b32