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Large Language Model Papers·2026
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Rethinking On-Policy Distillation of Large Language Models II: One Training Example

Zixuan Fu, Bingxiang He +11·Affiliation: University of Chinese Academy of Sciences, Affiliation: Tsinghua University +3

Studies on-policy distillation (OPD) at the data-minimal limit by training on a single query, measuring state coverage and alignment dynamics, and showing OPD is often data-overfed but algorithm-starved.

#distillation#LLM#NLP#paper#training-data+4
Hugging Face
AI Model·2026
Icon for item

MiniCPM5-2B

OpenBMB

Compact causal LLM for on-device assistants, coding agents and long-context tool use — ~2.52B parameters with a 131,072-token context, trained with SFT + RL + OPD and released with its UltraData training corpora and multi-format deployment checkpoints.

#llm#transformers#huggingface#vllm#gguf+10
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