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README.md
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**Technical Specifications**:
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It is specifically crafted to effectively respond to a wide array of general instructions, making it highly versatile for the creation of AI assistants that can operate across various domains and applications.
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**Languages Supported:** This powerful model is proficient in multiple languages, including but not limited to English, German, Spanish, French, Japanese, Portuguese, Arabic, Czech, Italian, Korean, Dutch, and Chinese, ensuring comprehensive accessibility for a diverse user base.
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**Developers**: Granite Team, IBM
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**GitHub Repository**: [ibm-granite/granite-3.0-language-models](https://github.com/ibm-granite/granite-3.0-language-models)
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**Website**: [Granite Docs](https://example.com)
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**Paper**: [Granite 3.0 Language Models](https://example.com)
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**Release Date**: October 21st, 2024
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**License**: Apache 2.0
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**About [osllm.ai](https://osllm.ai)**:
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**Technical Specifications**:
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# Granite-3.0-8B-Instruct
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**Model Summary:**
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Granite-3.0-8B-Instruct is a 8B parameter model finetuned from *Granite-3.0-8B-Base* using a combination of open source instruction datasets with permissive license and internally collected synthetic datasets. This model is developed using a diverse set of techniques with a structured chat format, including supervised finetuning, model alignment using reinforcement learning, and model merging.
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- **Developers:** Granite Team, IBM
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- **GitHub Repository:** [ibm-granite/granite-3.0-language-models](https://github.com/ibm-granite/granite-3.0-language-models)
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- **Website**: [Granite Docs](https://www.ibm.com/granite/docs/)
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- **Paper:** [Granite 3.0 Language Models](https://github.com/ibm-granite/granite-3.0-language-models/blob/main/paper.pdf)
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- **Release Date**: October 21st, 2024
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- **License:** [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0)
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**Supported Languages:**
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English, German, Spanish, French, Japanese, Portuguese, Arabic, Czech, Italian, Korean, Dutch, and Chinese. Users may finetune Granite 3.0 models for languages beyond these 12 languages.
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**Intended use:**
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The model is designed to respond to general instructions and can be used to build AI assistants for multiple domains, including business applications.
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*Capabilities*
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* Summarization
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* Text classification
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* Text extraction
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* Question-answering
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* Retrieval Augmented Generation (RAG)
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* Code related tasks
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* Function-calling tasks
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* Multilingual dialog use cases
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**About [osllm.ai](https://osllm.ai)**:
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