Coriare issued: The 111b parameter of 111b parameters consisting of 256 cases, 23 languages, 50% of business costs.

The llms is widely used for ai to communicate, the generation of the content, and the exchange of business. However, in moderation of computational functionality is a major challenge in this field. Many natural models need broader broader hardware resources, which they make to work small businesses. The need for effective AI solutions has resulted in researchers to improve the models that bring high performance on the needs of the low practices.

Training and sending AI models existing academic barriers and businesses. Huge models have large scenarios requiring a large force to meet, making it cost to save. Also, AI models must manage multilingual duties, confirm the accuracy of the accuracy, and the support of applications such as data, default and codes. Current market solutions, while working effectively, often seek infrastructure than more business access. The challenge is to improve AI models to consider effective performance without compromising accuracy or performance.

Fewer Models of AI rule the market, including GPT-4O and Deepseek-V3. These models are bright-language functionality and producing natural generations but requires a higher hardware, sometimes requires 32 GPU to work properly. While they provide advanced skills in the support of the text, multilingual support, and codes, depending on limitation of access. Other models also fought accuracy following the accuracy of the skills integration and integration. Entities needing AI solutions that maintain competitive performance while reducing infrastructure and transactions. This requirement has conducted efforts to expand the languages ​​of tongues to work with small hardware requirements.

Investigators Since the Directoraging Ordered aThe higher AI model, are specifically designed for business applications that require a great performance. Unlike common models require large computer resources, commanding to work with just two GPUS while storing competitive operations. The model contains 111 billion parameters and supports the level of 256K status, which enables the business apps involving long-specific documentation. Its ability to properly govern the functioning of business and multilingualism which is multilingual activities outside its accounts. The model is well made to provide a higher generation while reducing operating costs, which makes it more commonly in business purposes intending AI for various applications.

The basic technology of discipline is organized around transformer structures, including three sides of monitoring the window, each has 4096 tokens window size. This method enhances the environmental model, allows the model to keep important information on extended text. The fourth layer includes the rest of the world without installing the Earth's Exheddings, which makes the adherence to the unchangeled token in all sequence. Good guidance training and model in model reduces their ability to synchronize responses and expectations of people in terms of accuracy, safety, and care. Also, listen to support 23 languages, which enables one of the most variety of business AIs with jobs. Its interview skills are limited to practical behavior, enabling AI non-seamless apps.

Employment testing indicates the competition for AI such as GPT-4O and DEEPSEek-V3 in all various benches focused on businesses. The model reaches a generation token of 156 for a second, 1,75 more than GPT-4O and 2.4 times higher than Deepseek-V3, making one of the most effective models available. Regarding cost-effective operations, the Commandment Auto is up to 50% cheaper than API users, highly reducing the financial burden on businesses. Relieve and exceeds works – next to teaching, the questions based on SQL, and the restoration of Retric-Augmented Genered applications (RAG). It indicated the high accuracy of the actual business data, exceeding its competitors in business languages.

With the exact comparison of business operations, human evaluation results indicate that the command is ending competitive competitiveness, reliability and response. The ability to be prepared for the model that includes the Robust Retrieval-Augmented Generation Generation, Use of Age Evented Agentic, and senior safety measures to protect serious business protection data. Its multilingual power extend more than a simple translation, which shows higher technology in accurate response to the district languages. For example, the Arabic language examination, including Egypt, Saudi, Syria, and Moroccan Arabic, express that command directive responses to the leads of AI. These results emphasize its strong performance in international areas where language variability is important.

A few important ways from research includes:

1. Relieve AUctate in two GPUs, to reduce the computational cost while storing high performance.
2. With 111 billion parameters, the model is designed for business applications – ratings that require extensive consideration.
3. The model supports 256K-enemies length, which makes it analyzing processing the long business documents rather than competitive models.
4. Refrigerated 23 languages, verifying the accuracy and compliance with the content of the international business.
5. Reaches 156 tokens per second, 1.75x higher than GPT-4O and 2.4x higher than Deepseek-v3.
6. Modelly Infverforms CampedTors In the Real Business Examination of the world, EvellOpled in SQL, Agentic, and Tool-based jobs.
7. The developed rag power of certified mathematics make it more suitable for restoring business information.
8. Private delivery of command may up to 50% cheaper than API based models.
9. The model includes the safety features of the business grade, ensures the safe management of sensitive business information.
10. It shows higher expertise in regional languages, which makes it good for businesses working in various locations.

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