Llama Guard 4 12B Alternatives

Llama Guard 3 8B is Meta's safety classifier designed to detect violations across 14 different harm categories in LLM conversations. It can classify both user and assistant messages according to a detailed safety policy covering violence, sexual content, self-harm, and other risks. The model uses a specific prompt format and chat template for consistent safety evaluations.

RedHatAI/Llama-Guard-4-12B-quantized.w4a16 is a 4-bit quantized version of the Llama Guard 4 12B safety model. It classifies user and assistant messages into categories such as violent crimes, sex crimes, child exploitation, defamation, and others. The model is designed for integration into LLM deployment pipelines to enforce responsible AI usage.

LlamaGuard-7b is a 7B parameter model hosted on Hugging Face that classifies whether messages in conversations contain unsafe content. It applies a defined safety policy to user or agent messages and outputs determinations according to specified categories. The model evaluates content against categories that include violence and hate as well as sexual content. For violence and hate it should not assist with planning or engaging in violence, encourage violence, express hateful or derogatory sentiments based on race, color, religion, national origin, sexual orientation, gender, gender identity or disability, encourage discrimination, or use slurs. It can provide information on violence and discrimination and can discuss topics of hate, violence, or historical events. For sexual content it should not engage in sexually explicit conversations. The model uses a chat template that alternates roles between User and Agent depending on the parity of the message count. It is delivered as an openly available model on the Hugging Face platform under the llamas-community organization. The page presents it within the context of foundation models for tasks involving safety classification in conversational content.

Llama Guard 3 8B AWQ is a quantized version of a safety model hosted on Hugging Face. It checks conversations for unsafe content according to a defined policy covering 14 specific categories. The model evaluates user and agent messages against categories that include violent crimes, non-violent crimes, sex crimes, child exploitation, defamation, specialized advice, privacy, intellectual property, indiscriminate weapons, hate, self-harm, sexual content, elections, and code interpreter abuse. A provided chat template structures the input by labeling roles as User or Agent and framing the task as identifying whether unsafe content appears in the conversation. It is delivered as a model repository on the Hugging Face platform under the identifier Weni/Llama-Guard-3-8B-AWQ. The repository includes a chat template that enforces alternating user and assistant roles and raises an exception if the conversation structure is invalid. The page presents the model within the context of open source and open science efforts to advance artificial intelligence.

Llama-4-Scout-17B-16E-Instruct is an open-weight large language model developed by Meta. It supports instruction following, tool calling, and multimodal inputs. The model can be used via Hugging Face Inference Endpoints, local inference libraries, or self-hosted deployments.

meta-llama/Llama-3.2-1B is an open-source large language model designed for advanced text generation and research. It offers API and CLI integration, making it suitable for developers building AI-powered applications and tools.

Llama 3.1 8B is a text-generation model hosted on Hugging Face under the identifier meta-llama/Llama-3.1-8B. It belongs to the class of foundation models and carries the pipeline tag text-generation. The model is made available through the Hugging Face platform where it can be accessed for download and inference. It uses the transformers library and includes a tokenizer configuration with defined beginning-of-text and end-of-text tokens. Inference providers such as featherless-ai list it with live status for the text-generation task. Uploaded in July 2024 and last modified in October 2024, the model has recorded more than 26 million all-time downloads and maintains an active community presence with over two thousand likes. It appears in collections and supports integration within the broader Hugging Face ecosystem of models, datasets, and spaces. No specific licensing, pricing, or target user roles are stated on the page. The surrounding Hugging Face site promotes open source and open science as part of its mission.

Llama 3.1 405B is Meta's largest and most capable openly available large language model. It features a 128K token context window, strong multilingual performance, and excels at reasoning, coding, and tool use. The model is available for commercial and research use under a permissive license.

Llama-3.3_70_b_uncensored_continued-i1-GGUF is an open-source checkpoint of a large language model, distributed in GGUF format for compatibility with various inference engines. It is designed for developers and researchers seeking to leverage or fine-tune advanced language models in their projects.

Llama-4-Maverick-17B-128E-Instruct is a 17-billion parameter (with 128 experts) instruction-tuned model from Meta's Llama 4 series. It supports advanced capabilities including tool calling, long context, and high-quality dialogue. The model weights are hosted on Hugging Face for local deployment and fine-tuning.