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youngseok12/HyperCLOVA-X-SEED-Think-14B-sft-71875-3000

sourceHugging Faceotherupdated 23d agoView on Hugging Face

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HyperCLOVA X SEED Think-14B — AI Hub 71875 SFT 3K

This repository contains a standalone BF16 model derived from `naver-hyperclovax/HyperCLOVAX-SEED-Think-14B`. One LoRA adapter was trained on 3,000 examples from AI Hub dataset 71875 and merged into the pristine base weights.

Model details

—Base model: naver-hyperclovax/HyperCLOVAX-SEED-Think-14B
—Base revision: 9b74e35d4c7e4ffec489f4171273caca8948a2b9
—Architecture: HyperCLOVAXForCausalLM
—Weight format: BF16 safetensors, standalone merged full model
—Chat template: official HyperCLOVA X template, preserved from the base
—LoRA: rank 16, alpha 32, dropout 0.05, bias none
—Target modules: q_proj, k_proj, v_proj, o_proj, gate_proj, up_proj, down_proj
—Objective: assistant-token-only causal-language-model cross entropy
—Learning rate: 5e-5
—Scheduler: cosine, warmup ratio 0.03, weight decay 0
—Training: 3,000 examples, 1 epoch, effective batch size 16
—Per-device batch: 4; gradient accumulation: 4
—Maximum sequence length: 4096; precision: BF16; packing: false
—Seed: 42; data seed: 42
—Public benchmark data: not used

Training data

The training data is AI Hub 71875 필수의료 의학지식 QA. The exact prepared input contained 3,000 unique rows with the following groups: 내과 865, 산부인과 865, 소아청소년과 865, 응급의학과 405. Targets use an answer-first format containing the correct choice and its text. The source file hash is ff13bf66d46102c773d28934239ec347117726c617df74b6443b0763991cfa60.

Dataset page: <https://www.aihub.or.kr/aihubdata/data/view.do?currMenu=115&topMenu=100&aihubDataSe=realm&dataSetSn=71875>

No other AI Hub dataset, v0.21 mixture, public benchmark question, benchmark answer, evaluation artifact, log, credential, or .env file is included in this repository. AI Hub source-data terms remain applicable.

Intended use and limitations

This is an experimental Korean-language fine-tuned model for research and controlled evaluation. It can produce factual or reasoning errors and is not a substitute for professional medical, legal, financial, or other advice. The HyperCLOVA X acceptable-use restrictions and all applicable laws continue to apply to this derivative model.

License and notices

The full HyperCLOVA X SEED 14B Think Model License Agreement is included in LICENSE, and the required NAVER attribution is in NOTICE. Redistribution must comply with that agreement and the AI Hub source-data terms.

Usage

python

import torch
from transformers import AutoModelForCausalLM, AutoTokenizer

model_id = "youngseok12/HyperCLOVA-X-SEED-Think-14B-sft-71875-3000"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
    model_id, dtype=torch.bfloat16, device_map="auto"
)
messages = [{"role": "user", "content": "대한민국의 수도는 어디인가요?"}]
inputs = tokenizer.apply_chat_template(
    messages, add_generation_prompt=True, tokenize=True, return_tensors="pt"
).to(model.device)
with torch.inference_mode():
    outputs = model.generate(**inputs, max_new_tokens=64, do_sample=False)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:], skip_special_tokens=True))