Ternura143/Ternura143
Personal website
Personal website
A framework for efficient model inference with omni-modality models
A compact high-signal benchmark for evaluating frontier agents
An Asynchronous Reinforcement Learning Engine for Omni-Modal Post-Training at Scale
SGLang Omni: High-Performance Multi-Stage Pipeline Framework for Omni Models
[ICLR 2025 Oral] Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows
Terminal-Bench-Science: Evaluating AI Agents on Complex Real-World Scientific Workflows in the Terminal
Training library for Megatron-based models with bidirectional Hugging Face conversion capability
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Harbor is a framework for running agent evaluations and creating and using RL environments.
Ongoing research training transformer models at scale
Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)
Leetcode List
Mining and Recommendation of Interdisciplinary Academic Collaboration
For Software Engineering
本项目旨在通过对学者的研究成果进行语义分析,构建基于语义、社会关系等因素的多维合作网络,从而实现对跨学科潜在学术合作关系发现与推荐。