deepseek-v41
deepseek-v41-flash-thinking-toolusekanitakorn-deepseek-v41-explain-robust-micro
Kanitakorn DeepSeek v41 Explain Robust Micro
Compact SFT continuation lane for a <=14B non-Thai-base Thai LLM.
Target base: deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
Intended use: quick LoRA continuation after v39/v40-style DeepSeek candidates
Model identity taught: kanitakorn / คณิตกรณ์
Developer identity taught: Chawabhon Netisingha / ชวภณ เนตสิงหะ
Size: 472 rows = 400 MCQ + 56 Thai instruction + 16 identity
MCQ label balance: a=80 b=80 c=80 d=80 e=80
MCQ sources: v39… See the full description on the dataset page: https://huggingface.co/datasets/Jnx03/kanitakorn-deepseek-v41-explain-robust-micro.