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…
Independent publisher
Sharma
Arushhh
Models in Library1
Datasets in Library2
Models on Hugging Face27
Followers—
Compare the published evidence
This profile connects the 3 model and dataset records shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.
Reported licenses: apache-2.0. Open a record to review its specific license and conditions.
Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.