Upload README.md with huggingface_hub
Browse files
README.md
ADDED
|
@@ -0,0 +1,44 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: other
|
| 3 |
+
tags:
|
| 4 |
+
- sft
|
| 5 |
+
- expert-qa
|
| 6 |
+
- full-ft
|
| 7 |
+
- medical
|
| 8 |
+
- exp0
|
| 9 |
+
- tmp
|
| 10 |
+
language:
|
| 11 |
+
- ko
|
| 12 |
+
- en
|
| 13 |
+
---
|
| 14 |
+
|
| 15 |
+
# tmp_expertQA_exaone3.5-7.8b_exp0_medical
|
| 16 |
+
|
| 17 |
+
QA Generator pipeline ablation 학습 모델 — **연구용 임시 스냅샷** (production 용도 아님).
|
| 18 |
+
|
| 19 |
+
- **Base model**: `LGAI-EXAONE/EXAONE-3.5-7.8B-Instruct`
|
| 20 |
+
- **Method**: Full FT
|
| 21 |
+
- **Condition**: `exp0` (Phase 0 OFF / Phase 2 OFF)
|
| 22 |
+
- **Domain**: medical
|
| 23 |
+
- **Run ID**: `exaone3.5-7.8b_exp0_medical`
|
| 24 |
+
- **Uploaded**: 2026-05-06T06:05:03Z
|
| 25 |
+
|
| 26 |
+
## Reproduction
|
| 27 |
+
|
| 28 |
+
```python
|
| 29 |
+
from huggingface_hub import snapshot_download
|
| 30 |
+
local = snapshot_download(repo_id="Flitto/tmp_expertQA_exaone3.5-7.8b_exp0_medical", token="$HF_TOKEN")
|
| 31 |
+
```
|
| 32 |
+
|
| 33 |
+
LoRA 어댑터인 경우 PEFT로 로드:
|
| 34 |
+
|
| 35 |
+
```python
|
| 36 |
+
from peft import PeftModel
|
| 37 |
+
from transformers import AutoModelForCausalLM
|
| 38 |
+
base = AutoModelForCausalLM.from_pretrained("LGAI-EXAONE/EXAONE-3.5-7.8B-Instruct")
|
| 39 |
+
model = PeftModel.from_pretrained(base, local)
|
| 40 |
+
```
|
| 41 |
+
|
| 42 |
+
## License
|
| 43 |
+
|
| 44 |
+
Inherits the base model's license. EXAONE/Llama/Gemma는 각 제공사 라이선스를 따른다.
|