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Open-weight model

c1b-judge-lora-sdar30b-b32

by Sharma Arushhh/c1b-judge-lora-sdar30b-b32

c1b-judge-lora-sdar30b-b32 is an open-weight model from Sharma, released under Apache License 2.0. Its published files total 19.9 GB.

LoRA judge adapters for the stock JetLM/SDAR-30B-A3B-Chat-b32 @ c351bbc (block 32), trained with code/corpus1b/trainc1b.py from github.com/NoviceCoderInfinity/diffusion-moe-general-expert (branch phase1-datacorpus).

Parameters—
Context—
Weights19.9 GB
Licenseapache-2.0
AccessOpen weights
Monthly Downloads—

Model Card

By Sharma, published under apache-2.0, revision 816cfe39fb4f.

LoRA judge adapters for the stock JetLM/SDAR-30B-A3B-Chat-b32 @ c351bbc (block 32), trained with code/corpus1b/trainc1b.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 / / is a complete checkpoint: adapter.safetensors + adapterconfig.json (LoRA r32 / alpha 64 on q, k, v, o in all 48 layers + the draft flag) and trainerstate.pt (AdamW state, token count) + trainerstate.json, so it can be both used and resumed (--resume / --continue-from). /config.json is the run's full configuration. The adapter is flag-gated: load it with draftalign.adapter.loadadapter and…

Read Sharma's full model card

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

Identity and Version

Repository
Arushhh/c1b-judge-lora-sdar30b-b32
Publisher
Sharma
Task
Not stated by the source
Modality
Other
Library
Not stated by the source
Parameters
Not stated by the source
Languages
Not stated by the source
Revision
816cfe39fb4fc20b116384733eceb585265c656c
First published
2026-09-28
Last updated
2026-09-30

Files and Weights

252 files, 19.9 GB in total. The weights are 124 files totalling 19.9 GB in pt, safetensors.

Weights124 files · 19.9 GB
Configuration126 files · 46.0 KB
Documentation1 file · 5.0 KB
Repository1 file · 1.5 KB
Every file
FileTypeSizeSHA-256
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main/roll_00000547/trainer_state.ptWeights214.3 MB cf5fa5e0a3ee
main/roll_00000824/adapter.safetensorsWeights107.0 MB 91df4656fae9
main/roll_00000824/trainer_state.ptWeights214.3 MB 64763bfd2d30
main/roll_00001107/adapter.safetensorsWeights107.0 MB 02ce711b401e
main/roll_00001107/trainer_state.ptWeights214.3 MB a66e7f1062d5
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main/roll_00002739/adapter.safetensorsWeights107.0 MB 89fd0571314a
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main/roll_00004856/adapter.safetensorsWeights107.0 MB 742353e31165
main/roll_00004856/trainer_state.ptWeights214.3 MB c473724a0cb9
main/roll_00005163/adapter.safetensorsWeights107.0 MB 1fa59bfe1397
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main/roll_00007152/trainer_state.ptWeights214.3 MB e0b238c3c41e
main/tok_000001840000/adapter.safetensorsWeights107.0 MB 07c0e00bc50a
main/tok_000001840000/trainer_state.ptWeights214.3 MB e36b15adfd3d
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main/tok_000008000000/trainer_state.ptWeights214.3 MB 1b57ae1c41ad
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main_128m/tok_000032000000/trainer_state.ptWeights214.3 MB 189b52eba177
main/config.jsonConfiguration1.4 KB —
main/final/adapter_config.jsonConfiguration378 B —
main/final/trainer_state.jsonConfiguration442 B —
main/roll_00000278/adapter_config.jsonConfiguration378 B —
main/roll_00000278/trainer_state.jsonConfiguration112 B —
main/roll_00000547/adapter_config.jsonConfiguration378 B —
main/roll_00000547/trainer_state.jsonConfiguration112 B —
main/roll_00000824/adapter_config.jsonConfiguration378 B —
main/roll_00000824/trainer_state.jsonConfiguration112 B —
main/roll_00001107/adapter_config.jsonConfiguration378 B —
main/roll_00001107/trainer_state.jsonConfiguration130 B —
main/roll_00001378/adapter_config.jsonConfiguration378 B —
main/roll_00001378/trainer_state.jsonConfiguration131 B —
main/roll_00001657/adapter_config.jsonConfiguration378 B —
main/roll_00001657/trainer_state.jsonConfiguration130 B —
main/roll_00001929/adapter_config.jsonConfiguration378 B —
main/roll_00001929/trainer_state.jsonConfiguration131 B —
main/roll_00002200/adapter_config.jsonConfiguration378 B —
main/roll_00002200/trainer_state.jsonConfiguration131 B —
main/roll_00002470/adapter_config.jsonConfiguration378 B —
main/roll_00002470/trainer_state.jsonConfiguration130 B —
main/roll_00002739/adapter_config.jsonConfiguration378 B —
main/roll_00002739/trainer_state.jsonConfiguration130 B —
main/roll_00003019/adapter_config.jsonConfiguration378 B —
main/roll_00003019/trainer_state.jsonConfiguration130 B —
main/roll_00003291/adapter_config.jsonConfiguration378 B —
main/roll_00003291/trainer_state.jsonConfiguration130 B —
main/roll_00003563/adapter_config.jsonConfiguration378 B —
main/roll_00003563/trainer_state.jsonConfiguration130 B —
main/roll_00003840/adapter_config.jsonConfiguration378 B —
main/roll_00003840/trainer_state.jsonConfiguration130 B —
main/roll_00004111/adapter_config.jsonConfiguration378 B —
main/roll_00004111/trainer_state.jsonConfiguration130 B —
main/roll_00004373/adapter_config.jsonConfiguration378 B —
main/roll_00004373/trainer_state.jsonConfiguration145 B —
main/roll_00004442/adapter_config.jsonConfiguration378 B —
main/roll_00004442/trainer_state.jsonConfiguration145 B —
main/roll_00004512/adapter_config.jsonConfiguration378 B —
main/roll_00004512/trainer_state.jsonConfiguration145 B —
main/roll_00004579/adapter_config.jsonConfiguration378 B —
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main/roll_00004648/adapter_config.jsonConfiguration378 B —
main/roll_00004648/trainer_state.jsonConfiguration144 B —
main/roll_00004718/adapter_config.jsonConfiguration378 B —
main/roll_00004718/trainer_state.jsonConfiguration146 B —
main/roll_00004787/adapter_config.jsonConfiguration378 B —
main/roll_00004787/trainer_state.jsonConfiguration145 B —
main/roll_00004856/adapter_config.jsonConfiguration378 B —
main/roll_00004856/trainer_state.jsonConfiguration146 B —
main/roll_00005163/adapter_config.jsonConfiguration378 B —
main/roll_00005163/trainer_state.jsonConfiguration175 B —
main/roll_00005566/adapter_config.jsonConfiguration378 B —
main/roll_00005566/trainer_state.jsonConfiguration419 B —
main/roll_00005876/adapter_config.jsonConfiguration378 B —
main/roll_00005876/trainer_state.jsonConfiguration428 B —
main/roll_00006185/adapter_config.jsonConfiguration378 B —
main/roll_00006185/trainer_state.jsonConfiguration430 B —
main/roll_00006492/adapter_config.jsonConfiguration378 B —
main/roll_00006492/trainer_state.jsonConfiguration440 B —
main/roll_00006875/adapter_config.jsonConfiguration378 B —
main/roll_00006875/trainer_state.jsonConfiguration442 B —
main/roll_00007152/adapter_config.jsonConfiguration378 B —
main/roll_00007152/trainer_state.jsonConfiguration433 B —
main/tok_000001840000/adapter_config.jsonConfiguration378 B —
main/tok_000001840000/trainer_state.jsonConfiguration131 B —
main/tok_000008000000/adapter_config.jsonConfiguration378 B —
main/tok_000008000000/trainer_state.jsonConfiguration145 B —
main/tok_000011790000/adapter_config.jsonConfiguration378 B —
main/tok_000011790000/trainer_state.jsonConfiguration146 B —
main_128m/config.jsonConfiguration1.5 KB —
main_128m/roll_00007723/adapter_config.jsonConfiguration378 B —
main_128m/roll_00007723/trainer_state.jsonConfiguration438 B —
main_128m/roll_00007982/adapter_config.jsonConfiguration378 B —
main_128m/roll_00007982/trainer_state.jsonConfiguration463 B —
main_128m/roll_00008059/adapter_config.jsonConfiguration378 B —
main_128m/roll_00008059/trainer_state.jsonConfiguration465 B —
main_128m/roll_00008136/adapter_config.jsonConfiguration378 B —
main_128m/roll_00008136/trainer_state.jsonConfiguration464 B —
main_128m/roll_00008213/adapter_config.jsonConfiguration378 B —
main_128m/roll_00008213/trainer_state.jsonConfiguration454 B —
main_128m/roll_00008290/adapter_config.jsonConfiguration378 B —
main_128m/roll_00008290/trainer_state.jsonConfiguration465 B —
main_128m/roll_00008367/adapter_config.jsonConfiguration378 B —
main_128m/roll_00008367/trainer_state.jsonConfiguration462 B —
main_128m/roll_00008444/adapter_config.jsonConfiguration378 B —
main_128m/roll_00008444/trainer_state.jsonConfiguration457 B —
main_128m/roll_00008521/adapter_config.jsonConfiguration378 B —
main_128m/roll_00008521/trainer_state.jsonConfiguration456 B —
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License and Download

License
apache-2.0
Access
Open weights, no gate
Download size
19.9 GB
Download from Sharma

Released by Sharma through its official repository on Hugging Face. Read the license.

Built From

  • Adapter of JetLM/SDAR-30B-A3B-Chat-b32
  • Derived from JetLM/SDAR-30B-A3B-Chat-b32

Memory Requirements

PrecisionWeights in memory
As published19.9 GB

Weights only, from the published parameter count; the key-value cache and runtime add to this.

Questions About c1b-judge-lora-sdar30b-b32

Can I use c1b-judge-lora-sdar30b-b32 commercially?

Yes. c1b-judge-lora-sdar30b-b32 is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.