LlamaGuard 7b 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.

Llama-Guard-4-12B is Meta's latest open-weight safeguard model based on the Llama 4 architecture. It classifies user and model messages across multiple safety categories including violence, sexual content, child exploitation, and more. The model supports structured output for easy integration into LLM pipelines and is designed to help developers implement responsible AI guardrails in production applications.

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.

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.

Llama-2-7B is Meta's 7 billion parameter large language model from the Llama 2 family. Hosted on Hugging Face by NousResearch, it supports text generation and can be fine-tuned for downstream tasks. The model is compatible with Transformers, vLLM, and other popular inference frameworks.

CodeLlama-7b-hf is a 7 billion parameter large language model from Meta, specifically fine-tuned for code-related tasks including generation, infilling, and debugging. It supports multiple programming languages and is distributed with open weights on Hugging Face. The model can be run locally or through inference providers for developer productivity and research applications.

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 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 2 7B Chat is a web-based application that allows users to interact with the Chinese Llama 2 7B language model. It provides a chat interface for generating and receiving responses in Chinese, making it useful for AI research and conversational applications.

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.