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base_model: unsloth/Qwen3-1.7B-unsloth-bnb-4bit
library_name: peft
license: apache-2.0
tags:
- qlora
- rotating-equipment
- behavior-spec
---
# Rotating Equipment Evidence-Gated QLoRA
Qwen3-1.7B QLoRA specialized for one falsifiable rule: diagnose only when two independent evidence channels agree; otherwise WATCH without naming a mode. Responses must identify the asset, cite independent evidence, and give exactly one non-compound action.
## Selected Final N=2620 result
- Full-Spec adherence / robustness: **1.000 / 1.000** (30/30)
- Exact GATE line: 30/30
- Thinking dumps: 0/30
- Misses: none
- Adapter: `lecporr/rotating-equip-sft-n2620`
- Adapter revision: `759927dd10db565a2407640faab2830f365aa729`
- Training evidence: `results/training/n2620/`
Parent strict N=2580 at `lecporr/rotating-equip-sft` @ `784a90897112cd94effb2da39f2fc151f55468ae` scored 0.933 (misses `e11`, `e14`). Nested N=2820 scored 0.867. The selected mix added 40 watch rows, not a learning-rate change.
Prompt-Ceiling (same Spec, original 180 outputs): best Opus 0.267 rule / 0.633 cross-judge, below 0.95.
## Exact inference
The adapter was trained against the listed bitsandbytes 4-bit base. Exact adapter evaluation requires CUDA. Applying the LoRA weights to upstream full-precision Qwen on CPU/MPS changes outputs and is non-comparable. The 16-bit merge scored 0.800 on Mac/MPS and is **not** the submission number.
Replay on any machine:
```bash
python eval.py \
--model lecporr/rotating-equip-sft-n2620 \
--revision 759927dd10db565a2407640faab2830f365aa729 \
--eval-set data/eval.jsonl \
--predictions results/training/n2620/predictions.jsonl
```
CUDA adapter generation (no `--predictions`):
```bash
python eval.py \
--model lecporr/rotating-equip-sft-n2620 \
--revision 759927dd10db565a2407640faab2830f365aa729 \
--eval-set data/eval.jsonl \
--device cuda
```
## Limitations
Synthetic snapshots only. This model is not a physical diagnostic authority or safety controller. The 30-row public eval is development evidence; staff-held-out evaluation remains required.
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