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youngseok12
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Model Details
Model Provider
youngseok12
Model Tree
skt/A.X-3.1-Light
Input Modalities
Output Modalities
Supported Functionality
skt/A.X-3.1-Light5e-5q_proj, k_proj, v_proj, o_proj, gate_proj, up_proj, down_projThe source data are referenced by dataset ID only; no benchmark data or training examples are included in this repository. Users must follow the applicable AI Hub terms of use.
python
from transformers import AutoModelForCausalLM, AutoTokenizermodel_id = "youngseok12/AX-3.1-Light-sft_A1_paperguided4k"tokenizer = AutoTokenizer.from_pretrained(model_id)model = AutoModelForCausalLM.from_pretrained(model_id,torch_dtype="auto",device_map="auto",)
These are local proxy results on the KDS canonical suite, not official K-AI leaderboard scores. The evaluation used the text-only HLE subset and reported Original MuSR separately in the suite.
| Probe | Parsed accuracy | Strict accuracy | Format error | Parse fail | Generation errors |
|---|---|---|---|---|---|
| B1 constrained | 42.01% | 42.01% | 0.42% | 0.05% | 0 |
| Free generation | 35.60% | 20.66% | 57.48% | 13.44% | 0 |
The model is derived from the Apache-2.0 licensed base model. See the
LICENSE file and the base model's license for terms and notices.
This model was fine-tuned for Korean text-generation and benchmark-style question answering. It may produce incorrect or poorly formatted answers and should not be used as the sole basis for medical, legal, financial, or other high-impact decisions.