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Anupam-Rawat-IITB/dlm-exp1-drafter-voting-research-artifacts

dlm-exp1 drafter-voting research artifacts (public) Draft-aligned judge LoRA for SDAR-30B-A3B-Chat-b32 with a 1.7B drafter and DES expert pooling: goal = decode speedup with minimal accuracy loss vs the stock model. model / setting weights eval records stock SDAR-30B-A3B-Chat-b32 (+ 1.7B drafter where used) JetLM/SDAR-30B-A3B-Chat-b32 @ c351bbc3… (Hugging Face) reference_evals/da_decode (*_stock), r3_A/evals/stock stock + DES32 / DES48 (decode-time expert pooling… See the full description on the dataset page: https://huggingface.co/datasets/Anupam-Rawat-IITB/dlm-exp1-drafter-voting-research-ar

Author / organizationAnupam-Rawat-IITB
Downloads164 (as reported by Hugging Face)
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Created15 September 2026
Last updated at source17 September 2026
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