Our training pipeline is adapted from verl and rllm(DeepScaleR). The installation commands that we verified as viable are as follows: conda create -y -n rlvr_train ...

LLM BitNet enables fast, energy-saving AI on CPUs, outperforming LLaMA 3.2 1B with just 0.4GB memory and no GPU needed.

The process of prompt extension can be referenced here. Run with local prompt extension using Qwen/Qwen2.5-VL-7B-Instruct: python generate.py --task i2v-14B --size 1280*720 --ckpt_dir ./Wan2.1-I2V-14B ...

LangGraph Multi-Agent Swarm is a Python library designed to orchestrate multiple AI agents as a cohesive “swarm.” It builds on LangGraph, a framework for constructing robust, stateful agent workflows, ...