The Orion-14B, a new multilingual language model, with its base model trained on 14 billion parameters and 2.5 trillion tokens spanning various languages, offers unique features for natural language processing tasks. It includes models tailored for specific applications, excelling in human-annotated tests and displaying strong multilingual capabilities, making it a significant advancement in large language models research.
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Orion-14B: A New Open-source Multilingual Large Language Model
With the advancement of AI, large language models (LLMs) are being used in various natural language processing (NLP) tasks such as dialogue systems, machine translation, and information retrieval. Orion Star has introduced the Orion-14B series, which includes models with specific, unique features and applications.
Key Features of Orion-14B
- Trained on 14 billion parameters and a huge 2.5 trillion tokens
- Impressive 200,000-token context length
- Includes models fine-tuned for specific tasks such as retrieval augmented generation and agent-related scenarios
- Adaptable and excels in human-annotated blind tests
- Efficiency enhancements with reduced model size and improved inference speed
- Outperforms other models in comprehensive evaluations and displays robust multilingual capabilities
The dataset used for these models includes multilingual texts across various topics and languages, making it a significant step in multilingual large language models.
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