Granite3 Dense 2B Instruct - Details

Granite3 Dense 2B Instruct is a large language model developed by Ibm Granite with 2 billion parameters. It operates under the Apache License 2.0 and is designed for high-performance applications. The model is trained on vast data to deliver robust capabilities in understanding and generating text.

Granite-3.0-2B-Base is a decoder-only language model trained from scratch using a two-stage strategy. It leverages 10 trillion tokens in the first stage and 2 trillion tokens in the second stage, emphasizing diverse domains and high-quality data. Developed by IBM's Granite Team, it supports text-to-text tasks such as summarization, classification, and question-answering. The model is part of the Granite 3.0 series and features a dense architecture with specific parameters tailored for performance.

Granite3 Dense 2B Instruct has 2 billion parameters, placing it in the small to mid-scale category of open-source LLMs, which ensures fast and resource-efficient performance for simpler tasks. Its 4k context length falls into the short context range, making it suitable for concise interactions but limiting its ability to handle extended or complex text sequences. This combination prioritizes accessibility and speed over handling highly intricate or lengthy inputs.

• Name: Granite3 Dense 2B Instruct
• Parameter Size: 2b
• Context Length: 4k
• Implications: Small parameter size enables efficiency; short context length restricts handling of long texts.

Granite3 Dense 2B Instruct is a versatile model with 2 billion parameters that could potentially support tasks like text summarization, text classification, and question answering across multiple languages. Its multilingual capabilities in Japanese, English, Italian, Dutch, French, Korean, Chinese, Portuguese, Czech, Arabic, German, and Spanish suggest possible applications in cross-lingual scenarios, though these require further validation. The model’s design may allow for possible use cases in content creation, data analysis, or interactive systems, but its effectiveness in these areas needs thorough testing. The 4k context length and small parameter size could make it suitable for possible tasks requiring efficiency, but its limitations in handling extended or highly complex inputs should be considered.

• Intended Uses: text summarization, text classification, question answering
• Supported Languages: japanese, english, italian, dutch, french, korean, chinese, portuguese, czech, arabic, german, spanish
• Multilingual: yes
• Name: Granite3 Dense 2B Instruct

Granite3 Dense 2B Instruct could potentially support applications like text summarization, text classification, and question answering across multiple languages, making it a possible tool for content organization or information retrieval. Its multilingual capabilities might enable possible use cases in cross-lingual communication or localized data processing, though these require further exploration. The model’s 2 billion parameters and 4k context length could make it suitable for possible tasks involving concise text analysis or interactive systems, but its limitations in handling extended inputs should be considered. The open-source nature of the model might also allow possible experimentation in creative or educational contexts, though each scenario needs rigorous validation.

• Possible Applications: text summarization, text classification, question answering
• Name: Granite3 Dense 2B Instruct
• Supported Languages: japanese, english, italian, dutch, french, korean, chinese, portuguese, czech, arabic, german, spanish
• Multilingual: yes

Granite3 Dense 2B Instruct’s medium q4 version requires a GPU with at least 12GB VRAM and a system with 32GB RAM for efficient operation, making it suitable for mid-range hardware. This quantized version balances precision and performance, allowing possible deployment on devices with moderate resources. The model’s 2B parameters and q4 optimization reduce memory usage while maintaining usability for tasks like text processing. Each application must be thoroughly evaluated to ensure compatibility with specific hardware configurations.

Granite3 Dense 2B Instruct has quantized versions: fp16, q2, q3, q4, q5, q6, q8.

Granite3 Dense 2B Instruct is a 2-billion-parameter open-source model under the Apache License 2.0, designed for tasks like text summarization, classification, and question answering. It supports multiple languages and offers quantized versions including fp16, q2, q3, q4, q5, q6, q8, making it adaptable for various deployment scenarios.

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