README.md

---
license: other
tags:
  - sft
  - expert-qa
  - full-ft
  - medical
  - exp0
  - tmp
language:
  - ko
  - en
---

# tmp_expertQA_exaone3.5-7.8b_exp0_medical

QA Generator pipeline ablation 학습 모델 — **연구용 임시 스냅샷** (production 용도 아님).

- **Base model**: `LGAI-EXAONE/EXAONE-3.5-7.8B-Instruct`
- **Method**: Full FT
- **Condition**: `exp0` (Phase 0 OFF / Phase 2 OFF)
- **Domain**: medical
- **Run ID**: `exaone3.5-7.8b_exp0_medical`
- **Uploaded**: 2026-05-06T06:05:03Z

## Reproduction

```python
from huggingface_hub import snapshot_download
local = snapshot_download(repo_id="Flitto/tmp_expertQA_exaone3.5-7.8b_exp0_medical", token="$HF_TOKEN")
```

LoRA 어댑터인 경우 PEFT로 로드:

```python
from peft import PeftModel
from transformers import AutoModelForCausalLM
base = AutoModelForCausalLM.from_pretrained("LGAI-EXAONE/EXAONE-3.5-7.8B-Instruct")
model = PeftModel.from_pretrained(base, local)
```

## License

Inherits the base model's license. EXAONE/Llama/Gemma는 각 제공사 라이선스를 따른다.