Granite3 Guardian 8B - Details

Granite3 Guardian 8B is a large language model developed by Ibm Granite, a company dedicated to advancing AI technologies. With 8b parameters, it is designed to handle complex tasks while maintaining robust performance. The model is released under the Apache License 2.0, allowing for flexible use and modification. Its primary focus is on risk detection in prompts and responses, incorporating comprehensive guardrails to ensure safe and responsible interactions.

Granite Guardian 3.0 8B is a fine-tuned Granite 3.0 8B Instruct model developed by IBM Research to detect risks in prompts and responses. It is trained on human annotations and synthetic data informed by internal red-teaming, outperforming other open-source models on standard benchmarks. The model identifies risks such as harm, social bias, jailbreaking, violence, profanity, sexual content, unethical behavior, and hallucinations in RAG pipelines. It is optimized for enterprise applications requiring risk assessment, model observability, and monitoring.

Granite3 Guardian 8B has 8b parameters, placing it in the mid-scale category, which balances performance and resource efficiency for moderate complexity tasks. Its 4k context length falls into the short context range, making it suitable for concise interactions but limiting its ability to handle extended texts. This configuration ensures efficient risk detection in prompts and responses while maintaining accessibility for enterprise use. The model’s design emphasizes precision in identifying harmful content, aligning with its role in secure AI deployment.

• Name: Granite3 Guardian 8B
• Parameter Size: 8b
• Context Length: 4k
• Implications: Mid-scale parameters for balanced performance, short context length for focused tasks, optimized for enterprise risk assessment.

Granite3 Guardian 8B is designed for risk detection in prompts and responses for enterprise applications, offering possible uses in monitoring interactions for harmful content or unethical behavior. Its possible applications extend to RAG (retrieval-augmented generation) pipelines, where it could assess context relevance, groundedness, and answer relevance. It also presents possible opportunities for identifying hallucinations in generated outputs, ensuring alignment with factual data. These possible uses require thorough evaluation to confirm effectiveness in specific scenarios. The model’s focus on comprehensive guardrails suggests it could support enterprise-level risk mitigation but needs further testing for real-world adaptability.

• Intended Uses: risk detection in prompts and responses for enterprise applications
• Intended Uses: RAG use cases for assessing context relevance, groundedness, and answer relevance
• Intended Uses: detecting hallucinations in retrieval-augmented generation pipelines

Granite3 Guardian 8B is a model with possible applications in enterprise environments where risk detection in prompts and responses is critical, such as monitoring interactions for harmful or unethical content. It could possibly support RAG (retrieval-augmented generation) workflows by evaluating the groundedness and relevance of generated outputs, ensuring alignment with source data. Possible uses might include enhancing model observability in AI systems to identify biases or inconsistencies, or improving content filtering in collaborative platforms. It could possibly aid in compliance checks for generated text, though these possible applications require rigorous testing to ensure reliability. Each application must be thoroughly evaluated and tested before deployment to confirm suitability.

• Possible applications: risk detection in prompts and responses for enterprise applications
• Possible applications: RAG use cases for assessing context relevance, groundedness, and answer relevance
• Possible applications: detecting hallucinations in retrieval-augmented generation pipelines
• Possible applications: enhancing model observability and compliance checks in AI systems

Granite3 Guardian 8B requires a GPU with at least 16GB VRAM for the medium q4 version, which balances precision and performance, making it suitable for enterprise deployment. This configuration ensures efficient risk detection and RAG pipeline analysis while maintaining accessibility on mid-range hardware. The model’s quantized versions include fp16, q5, q6, and q8, each offering trade-offs between accuracy and resource usage.

• fp16
• q5
• q6
• q8

Granite3 Guardian 8B is a large language model developed by IBM Research, featuring 8b parameters and released under the Apache License 2.0, designed for risk detection in prompts and responses with robust guardrails for enterprise applications. It excels in RAG pipeline analysis, hallucination detection, and model observability, offering a balance of performance and safety for secure AI deployment.

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