Nagi-ENORMOUS (27B)
Nagi, an independent developer's decision family: LoRA adapters (and a small encoder) that score a closed set of 2 to 26 supplied options in one forward pass and return a choice with a probability per option, with no generated reasoning. This page carries the 27B adapter.
A personal project. The SDK's system_one(state, questions) takes choice, score and noul questions. ENORMOUS is a LoRA adapter on Qwen3.8-27B, so the base is needed. Siblings: Nagi-HUGE (Gemma 4 12B LoRA), nagi-big-v3 (Qwen3.5-4B; its card declares no licence), nagi-smol-v0 (ModernBERT-large, a pickle checkpoint) and ENORMOUS-Burst. On the maker's own suite adapting eight public sources to typed choice (ANLI, XNLI, BoolQ, CB, COPA, RTE, WiC, MMLU-Pro) ENORMOUS scores 82.76%; the maker notes exposure to these sources during pretraining is unknown and that none are official leaderboard scores. Option order changes some answers (9.7 to 13.1% flips for the smaller sizes). The maker's own game exhibitions against Jev are reported on the card.
What it decides
- choice — picks one option from a set
- score — places the input on an ordered scale
- noul — answers a yes/no question with one probability
At a glance
| Parameters | 27B |
| Base model | qwen/qwen3.8-27b |
| Maker | nagisanzenin |
| Released | 2026-09-25 |
| License | apache-2.0 |
| Reported accuracy | 82.8% |
| Reported latency | 122 ms at 1,024 tokens with the adapter merged and fused kernels |
Get the weights
pip install systemonemodels
systemone pull nagisanzenin/nagi
The files are served from the maker's Hugging Face repository, nagisanzeninz/Nagi-ENORMOUS, and verified against the checksums recorded here.