Granite3 Moe 3B Instruct - Details

Granite3 Moe 3B Instruct is a large language model developed by Ibm Granite, a company. It features 3b parameters and is released under the Apache License 2.0 (Apache-2.0). The model is designed for efficient, low-latency performance using a MoE (Mixture of Experts) architecture, making it suitable for a wide range of applications.

Granite3 Moe 3B Instruct is a decoder-only language model trained on 8 trillion tokens in the first stage and 2 trillion tokens in the second, optimized for text-to-text generation tasks such as summarization, classification, extraction, and question-answering. It employs a sparse Mixture of Experts (MoE) transformer architecture with 3.3B parameters, enabling efficient and scalable performance for diverse natural language processing applications.

Granite3 Moe 3B Instruct is a 3b parameter model with a 4k context length, placing it in the category of small models that prioritize fast and resource-efficient performance for tasks requiring moderate complexity. Its 4k context length suits short to moderate tasks but limits its ability to handle extended text sequences. The 3b parameter size ensures accessibility for deployment on standard hardware, making it ideal for applications where speed and efficiency are critical.

• Parameter Size: 3b
• Context Length: 4k

Granite3 Moe 3B Instruct is a 3b parameter multilingual model capable of summarization, text classification, extraction, and question-answering tasks across multiple languages including Japanese, English, Italian, Dutch, French, Korean, Chinese, Portuguese, Czech, Arabic, German, and Spanish. Its multilingual support suggests possible applications in cross-lingual content processing, language-specific data analysis, or localized text generation. However, these possible uses require thorough evaluation to ensure alignment with specific requirements, as the model’s performance may vary depending on the complexity of the task or the language involved. The 4k context length and 3b parameter size further imply possible suitability for scenarios where efficiency and scalability are prioritized over extreme complexity.

• summarization
• text classification
• extraction
• question-answering

Granite3 Moe 3B Instruct is a 3b parameter model with a 4k context length and multilingual support across 12 languages, making it a possible candidate for tasks like content creation, customer support automation, data analysis, and language learning tools. Its multilingual capabilities suggest possible applications in cross-lingual content processing or localized text generation, while its 3b parameter size and 4k context length imply possible suitability for scenarios requiring efficiency over extreme complexity. However, these possible uses must be thoroughly evaluated to ensure alignment with specific needs, as the model’s performance may vary depending on the task or language.

• content creation
• customer support automation
• data analysis
• language learning tools

Granite3 Moe 3B Instruct’s medium q4 version requires a GPU with at least 12GB VRAM for efficient operation, making it suitable for systems with moderate hardware capabilities. This quantized version balances precision and performance, allowing the model to run on consumer-grade GPUs while maintaining reasonable accuracy. A minimum of 32GB system RAM is recommended to handle inference tasks smoothly. These possible hardware requirements may vary depending on workload and optimization, so users should verify compatibility with their setup.

fp16, q2, q3, q4, q5, q6, q8

Granite3 Moe 3B Instruct is a 3b parameter large language model with a sparse Mixture of Experts (MoE) architecture, designed for text-to-text generation tasks like summarization, classification, and question-answering. It supports 12 languages and operates with a 4k context length, making it suitable for efficient, low-latency applications.

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