# Mathematical reasoning enhancement

AceReason-Nemotron-14B is a mathematical and code reasoning model trained through reinforcement learning, which performs excellently in multiple mathematical and code reasoning benchmark tests.

AceReason-Nemotron-7B is a mathematical and code reasoning model trained based on reinforcement learning. It starts training from DeepSeek-R1-Distilled-Qwen-7B and performs excellently in multiple benchmark tests.

High-performance reasoning model built on the OpenThoughts-114k-math dataset and other cognitive enhancement training sets

A Verilog RTL code generation model distilled from DeepSeek-R1, demonstrating outstanding performance in Verilog benchmarks

AceInstruct is a series of advanced SFT models, improved based on Qwen, suitable for coding, mathematics, and general tasks.

A 3B-parameter large language model based on the Llama3.2 architecture, supporting English text generation tasks, quantized using llama.cpp with imatrix