# 16K long context

ALP_DeepScaleR_1.5B_C16K is a model trained using the Adaptive Length Penalty (ALP) method based on the DeepScaleR-1.5B model, which can significantly reduce token usage while maintaining performance.

Fathom-R1-14B is a project based on the R1-distilled-14B model, achieving o4-mini level mathematical reasoning ability under a 16K context with a low training cost of $499.

phi-4 is an open-source language model developed by Microsoft Research, focusing on high-quality data and reasoning capabilities, suitable for memory/computation-constrained environments.

Aya Vision 8B is an open-weight 8-billion-parameter multilingual vision-language model supporting visual and language tasks in 23 languages.