meta-llama/meta-llama/llama-guard-4-12b
模型介绍
本条目的官方说明为英文,以下内容保留原文,关键章节标题已中文标注。
meta-llama/Llama-Guard-4-12B
Llama Guard 4 is a natively multimodal safety classifier with 12 billion parameters trained jointly on text and multiple images. Llama Guard 4 is a dense architecture pruned from the Llama 4 Scout pre-trained model and fine-tuned for content safety classification. Similar to previous versions, it can be used to classify content in both LLM inputs (prompt classification) and in LLM responses (response classification). It itself acts as an LLM: it generates text in its output that indicates whether a given prompt or response is safe or unsafe, and if unsafe, it also lists the content categories violated.
- 上下文长度:163,840 tokens
- 最大输出:163,840 tokens
- 标签:chat、vlm、vision
- 定价(每百万 token,USD):输入 $0.1800 / 输出 $0.1800
- 提供方:meta-llama
- 来源:DeepInfra
适合场景
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已知限制
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评测
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