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Model: ibm-granite/granite-guardian-3.3-8b-GGUF Source: Original Platform
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README.md
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pipeline_tag: text-generation
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inference: false
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license: apache-2.0
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library_name: transformers
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tags:
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- granite-3.3
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- guardian
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- gguf
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base_model:
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- ibm-granite/granite-guardian-3.3-8b
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---
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> [!NOTE]
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> This repository contains models that have been converted to the GGUF format with various quantizations from an IBM Granite base model.
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>
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> Please reference the base model's full model card here:
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> https://huggingface.co/ibm-granite/granite-guardian-3.3-8b
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# granite-guardian-3.3-8b-GGUF
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**Model Summary:** Granite Guardian 3.3 8b is a specialized Granite 3.3 8B model designed to judge if the input prompts and the output responses of an LLM based system meet specified criteria. The model comes pre-baked with certain criteria including but not limited to: jailbreak attempts, profanity, and hallucinations related to tool calls and retrieval augmented generation in agent-based systems. Additionally, the model also allows users to bring their own criteria and tailor the judging behavior to specific use-cases.
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This version of Granite Guardian is a hybrid thinking model that allows the user to operate in thinking or non-thinking model.
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In thinking mode, the model produces detailed reasoning traces though ```<think> ... </think> ```and ```<score> ... </score>``` tags.
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In non-thinking mode, the model only produces the judgement score though the ```<score> ... </score>``` tags.
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It is trained on unique data comprising human annotations and synthetic data informed by internal red-teaming.
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It outperforms other open-source models in the same space on standard benchmarks.
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- **Developers:** IBM Research
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- **GitHub Repository:** [ibm-granite/granite-guardian](https://github.com/ibm-granite/granite-guardian)
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- **Cookbook:** [Granite Guardian Recipes](https://github.com/ibm-granite/granite-guardian/tree/main/cookbooks/granite-guardian-3.3)
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- **Website**: [Granite Guardian Docs](https://www.ibm.com/granite/docs/models/guardian/)
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- **Paper:** [Granite Guardian](https://arxiv.org/abs/2412.07724)
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- **Release Date**: August 1, 2025
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- **License:** [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0)
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