Granite3.3 2B - Details

Granite3.3 2B is a large language model developed by Ibm Granite, featuring 2B parameters and released under the Apache License 2.0. It is designed to excel in long-context tasks with enhanced reasoning and instruction-following capabilities.

Granite3.3 2B is a 2-billion parameter language model with a 128K context length, fine-tuned to enhance reasoning and instruction-following capabilities. It builds on Granite-3.3-2B-Base and demonstrates significant improvements on benchmarks like AlpacaEval-2.0 and Arena-Hard, particularly in mathematics, coding, and instruction following. The model supports structured reasoning through specific tags and is trained on a combination of permissively licensed data and curated synthetic tasks.

Granite3.3 2B is a 2B parameter model with a 128K context length, placing it in the mid-scale category for parameters and long context range. This configuration allows it to handle moderate complexity tasks efficiently while supporting extended text processing, though it requires more resources compared to smaller models. The 128K context enables advanced reasoning and instruction-following, particularly beneficial for tasks involving lengthy documents or detailed interactions.

• Parameter Size: 2b
• Context Length: 128k

Granite3.3 2B is a versatile model with possible applications in general instruction-following tasks, where its ability to process long contexts and structured reasoning could offer potential benefits for complex queries. Its multilingual capabilities support a wide range of languages, making possible use cases in multilingual dialog scenarios or business-oriented AI assistants. The model’s design also suggests potential for code-related tasks, though this would require further validation. Possible integration into business applications could leverage its reasoning skills, but thorough testing would be necessary. The 128K context length and parameter size position it as a potential tool for tasks requiring extended text handling, though specific use cases would need careful evaluation.

• general instruction-following tasks
• integration into AI assistants for business applications
• multilingual dialog use cases
• long-context tasks
• code-related tasks

Granite3.3 2B is a model with possible applications in areas such as general instruction-following tasks, where its structured reasoning and long-context capabilities could offer potential benefits for complex queries. It could also be used in possible integration into AI assistants for business workflows, leveraging its multilingual support and reasoning skills. Potential uses might include multilingual dialog scenarios, where its language diversity and context handling could enhance interactions. Additionally, possible applications in long-context tasks, such as analyzing extended documents or multi-step reasoning, could be explored. However, each of these possible uses requires thorough evaluation and testing to ensure alignment with specific requirements.

• general instruction-following tasks
• integration into AI assistants for business applications
• multilingual dialog use cases
• long-context tasks

Granite3.3 2B with the q4 quantization requires a GPU with at least 12GB VRAM for efficient operation, paired with 32GB system memory to handle its workload. This configuration ensures a balance between precision and performance, making it suitable for deployment on mid-range hardware. Adequate cooling and a reliable power supply are also recommended to maintain stability.

• q4

Granite3.3 2B is a 2B-parameter language model developed by Ibm Granite with a 128K context length, designed for long-context tasks, improved reasoning, and instruction-following. It supports multilingual use and offers quantized versions like q4 for efficient deployment, released under the Apache License 2.0.

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