Orion Star Releases Open Source OrionStar-Yi-34B-Chat Model for Free Commercial Use

站长之家

Published inAI News · 1 min read · Nov 23, 2023

186

Artificial intelligence service solution provider "OrionStar" has released the OrionStar-Yi-34B-Chat model, which is fine-tuned based on the open-source Yi-34B model from ZeroOne. This model has performed exceptionally well in the C-Eval and C-MMLU Chinese evaluation benchmarks, serving as one of the excellent open-source alternatives to ChatGPT. OrionStar-Yi-34B-Chat boasts high performance, full openness, and free commercial use. OrionStar specializes in AI service solutions, with key products including AI voice interactive robots and AI new retail robots.

Wenwen Xinqun Releases First End-Side Full-Modal Understanding Open Source Model Megrez-3B-Omni, Financing Approaches 1 Billion Yuan

Domestic artificial intelligence company Wenwen Xinqun has announced the open sourcing of its latest developed end-side full-modal understanding AI model — Megrez-3B-Omni. This model is the world's first open source project of its kind, marking the company's innovative development in the AI field. At the same time, Wenwen Xinqun also launched a pure language version of the model, Megrez-3B-Instruct, to further enrich its product line. Founded in May 2023, the founding team comes from the Department of Electronic Engineering at Tsinghua University. The company is committed to creating efficiency.

Kimi and Tsinghua University Launch Open Source Model Inference Architecture Mooncake

Kimi Technology Co., Ltd. and Tsinghua University's MADSys laboratory have jointly released an open-source project called Mooncake, aimed at collaboratively building a large model inference architecture centered around KVCache. In June 2024, both parties released the design plan for the Mooncake inference system based on Kimi, which significantly enhances inference throughput through PD separation and a storage-computation architecture, garnering widespread attention in the industry.

Kimi Collaborates with Tsinghua University to Launch Mooncake Open Source Model Inference Architecture to Enhance AI Inference Efficiency

In an era of rapid development in artificial intelligence, the intelligence level of large models continues to improve, but the challenges of inference system efficiency are becoming increasingly apparent. Addressing high inference loads, reducing inference costs, and shortening response times has become an important issue faced by the industry. Kimi has collaborated with the MADSys laboratory at Tsinghua University to launch the KVCache-based Mooncake inference system design plan, which will be officially released in June 2024. The Mooncake inference system enhances efficiency through its innovative approach.

Alibaba Releases Over 100 Open Source Models with More than 300,000 Enterprises Accessing Tongyi Large Model

During the 2024 World Internet Conference in Wuzhen, Alibaba Group CEO Wu Yongming delivered a keynote speech at the Internet Entrepreneurs Forum on November 21, emphasizing the profound impact of artificial intelligence (AI) on the internet industry. He pointed out that the biggest change in the internet industry this year is still the rapid development of AI technology. Wu Yongming stated that the greatest value of AI is not merely the development of one or two super apps on mobile phones, but in driving productivity transformation across various industries. The development of AI requires a prosperous ecosystem of technology, products, and market.