正文：
近日，我国知名科技公司APUS与战略合作伙伴新旦智能，联合训练、研发的千亿MoE（Mixture of Experts）架构大模型，在GitHub上正式开源。这一举动不仅实现了国内首个千亿参数MoE架构大模型的开源，同时也标志着我国在人工智能领域取得了重大突破。
据悉，APUS-xDAN大模型4.0（MoE）是一个具有极高性价比的模型，它能够在低端算力芯片上运行，如RTX 4090等。更为引人注目的是，该模型的综合性能达到了GPT-4的90%。这一成果对于我国人工智能领域的发展具有重要意义。
通过开源这一模型，APUS与新旦智能希望能够推动我国人工智能行业的发展，让更多的人能够使用和受益于这一先进的模型。这也是我国在人工智能领域不断探索、创新的体现。
来源：APUS公众号
英语如下：
Certainly, here is the translation in English using Markdown format:
“`markdown
# APUS and XinDan Intelligence Collaboratively Release a Trillion-Level MoE Architecture Large Model
Keywords: APUS, XinDan Intelligence, Trillion-Level MoE Open Source
### News Title: APUS and XinDan Intelligence Collaboratively Release a Trillion-Level MoE Architecture Large Model, Showcasing Overall Performance at 90% of GPT-4
—
Recently, APUS, a well-known technology company in China, in collaboration with its strategic partner XinDan Intelligence, has opened source a trillion-level MoE (Mixture of Experts) architecture large model on GitHub. This achievement not only marks the first opening of a trillion-parameter MoE architecture large model in China but also signifies a significant breakthrough in the field of artificial intelligence in our country.
It is understood that the APUS-xDAN large model 4.0 (MoE) is a cost-effective model that can run on low-end computing chips, such as RTX 4090. More notably, the model’s overall performance reaches 90% of GPT-4. This result is of great significance for the development of the artificial intelligence field in China.
By open-sourcing this model, APUS and XinDan Intelligence hope to promote the development of the artificial intelligence industry in China, allowing more people to use and benefit from this advanced model. This also demonstrates China’s continuous exploration and innovation in the field of artificial intelligence.
**Source:** APUS Official Account
“`
Please note that the model’s performance comparison to GPT-4 and the specific chip capabilities mentioned (such as RTX 4090) may need to be verified for accuracy, as such details can be subject to change or be based on specific technical contexts.
【来源】https://mp.weixin.qq.com/s/x_XSfcDBL7A4zb43vDFSMg
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