yuu0617/hr-orchestrator
HR Orchestrator Adapter for Gemma 4 E2B
This repository contains the approved LoRA adapter from experiment 20260714-ood-remediation-160step. It was fine-tuned for pre-RAG orchestration: interpreting Japanese HR requests, asking deterministic clarification questions, rejecting unsafe requests, and returning a strict JSON execution plan.
Base and inference models
- Training base: `unsloth/gemma-4-E2B-it-unsloth-bnb-4bit`
- Original model: `google/gemma-4-E2B-it`
- Tested inference quantization: `cyankiwi/gemma-4-E2B-it-AWQ-INT4`
The adapter is a modification produced by QLoRA fine-tuning. It does not include the Gemma base-model weights. See NOTICE for attribution and modification details.
Training and evaluation
- Method: Unsloth 4-bit QLoRA, rank 8, alpha 16
- Final run: 160 steps
- Training examples: 884 synthetic conversations
- Human-authored OOD set: 30 held-out examples, not used for training
- OOD JSON validity: 96.7%
- OOD schema validity: 93.3%
- Safe-filter evaluation: 8/8
The training data is synthetic and does not contain real employee personal data or real-company confidential policies.
Intended use and limitations
This adapter is intended for an educational, local HR-assistant prototype. Backend code, not this model, enforces document permissions and safety boundaries. The model must not be used as the sole control for authorization, compliance, legal, labor, or personnel decisions.
Held-out evaluation still contains premature ready decisions, missed rejections, and one response outside the required JSON envelope. Human review and deterministic backend validation remain required.
Integrity
Expected SHA-256 for adapter_model.safetensors:
5a8f318629bbb6fcc4f0131164ab6088299cac9eeec44a76463a32f37baa3a59License
The adapter is distributed under the Apache License 2.0. See LICENSE and NOTICE. The referenced upstream models are also identified as Apache-2.0 on their respective model cards. Users remain responsible for complying with applicable laws and all upstream terms.