初始化项目，由ModelHub XC社区提供模型

Model: ibm-research/granite-3.2-2b-instruct-GGUF
Source: Original Platform

README.md

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+---
+pipeline_tag: text-generation
+inference: false
+license: apache-2.0
+library_name: transformers
+tags:
+- language
+- granite-3.2
+- gguf
+base_model:
+- ibm-granite/granite-3.2-2b-instruct
+---
+
+> [!NOTE]
+> This repository contains models that have been converted to the GGUF format with various quantizations from an IBM Granite base model.
+>
+> Please reference the base model's full model card here:
+> https://huggingface.co/ibm-granite/granite-3.2-2b-instruct 
+
+# Granite-3.2-2B-Instruct-GGUF
+
+**Model Summary:**
+Granite-3.2-2B-Instruct is an 2-billion-parameter, long-context AI model fine-tuned for thinking capabilities. Built on top of [Granite-3.1-2B-Instruct](https://huggingface.co/ibm-granite/granite-3.1-2b-instruct), it has been trained using a mix of permissively licensed open-source datasets and internally generated synthetic data designed for reasoning tasks. The model allows controllability of its thinking capability, ensuring it is applied only when required.
+
+- **Developers:** Granite Team, IBM
+- **Website**: [Granite Docs](https://www.ibm.com/granite/docs/)
+- **Release Date**: February 26th, 2025
+- **License:** [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0)
+
+**Supported Languages:** 
+English, German, Spanish, French, Japanese, Portuguese, Arabic, Czech, Italian, Korean, Dutch, and Chinese. However, users may finetune this Granite model for languages beyond these 12 languages.
+
+**Intended Use:** 
+This model is designed to handle general instruction-following tasks and can be integrated into AI assistants across various domains, including business applications.
+
+**Capabilities**
+* **Thinking**
+* Summarization
+* Text classification
+* Text extraction
+* Question-answering
+* Retrieval Augmented Generation (RAG)
+* Code related tasks
+* Function-calling tasks
+* Multilingual dialog use cases
+* Long-context tasks including long document/meeting summarization, long document QA, etc.