youngseok12

AX-3.1-Light-sft_source_screen_71890_3000

README

License: apache-2.0

Model details

Model name: A.X-3.1-Light SFT Source Screen 71890 (Law, Science, Mathematics 3K)
Base model: skt/A.X-3.1-Light
Base model revision: 9b41bb2406472634d8812c0b8931fa40fa9a6c3a
Fine-tuning: LoRA supervised fine-tuning, merged into base weights
Weight format: BF16 safetensors
Architecture: unchanged Llama causal language model architecture
Chat template: bundled A.X tokenizer chat template
Custom model code: none; standard Transformers/vLLM loading is intended

Training data

Training used only AI Hub dataset 71890, AI 파운데이션 모델 LLM/LAM 사후학습용 데이터. The training split contains 3,000 selected examples and the separate development split contains 300 examples. No v0.21 mixture, other AI Hub dataset, public benchmark question, benchmark answer, or evaluation artifact was used as SFT data or included in this repository.

Table with columns: Domain, Training examples, Main subjects
Domain	Training examples	Main subjects
법·세무·행정 관련 질의/지시 응답	1,000	세법 394, 행정법 384, 일반법 222
과학·기술 관련 질의/지시 응답	1,000	생명과학·화학·제조공학·물리·지구과학 각 200
수학 문제 및 풀이	1,000	미적분·수론·대수·조합론 각 250
Total	3,000

The output contract is answer-first: the core answer is presented first and a short rationale may follow. New examples were selected and filtered for a 2,048-token maximum without runtime target truncation. The applicable AI Hub terms of use remain in force. AI Hub dataset 71890

Training configuration

Epochs: 1
Optimizer steps: 375
Maximum sequence length: 2,048
Precision: BF16
Per-device batch size: 1
Gradient accumulation: 8 (effective batch size 8)
Learning rate: 5e-5
Scheduler: cosine; warmup ratio 0.03 (11 steps)
Weight decay: 0.01
Random seed: 42
LoRA rank / alpha / dropout: 16 / 32 / 0.05
LoRA target modules: q_proj, k_proj, v_proj, , , ,

Usage

python
from transformers import AutoModelForCausalLM, AutoTokenizer

model_id = "youngseok12/AX-3.1-Light-sft_source_screen_71890_3000"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
    model_id,
    torch_dtype="auto",
    device_map="auto",
)

Use the bundled tokenizer chat template for conversational inference. The repository is a merged full model and does not require PEFT adapter loading.

Limitations and license

This model is derived from the Apache-2.0 licensed skt/A.X-3.1-Light model; the base model notices and SK Telecom trademark terms also apply. AI Hub terms apply to the source dataset. See LICENSE and the base model repository for the applicable terms.

The model can produce incorrect, incomplete, biased, or poorly formatted answers. It must not be used as the sole basis for legal, tax, administrative, scientific, mathematical, financial, or other high-impact decisions.

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Model Details

Model Provider

youngseok12

Model Tree

Base

skt/A.X-3.1-Light

Fine-tuned

this model

Input Modalities

Text

Output Modalities

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Supported Functionality

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