Side by side
Llama Guard vs LocalMod
Both stand on ai content moderation software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.
Llama Guard provides a configurable safety classification model for self-hosted LLM workflows, with coverage across multiple languages and hazard categories. Its warnings about false refusals and adversarial vulnerabilities are important considerations when deciding how to use its classifications.
Visit Llama GuardLocalMod offers a broad set of moderation checks in a self-hosted API, with offline operation and several deployment approaches. Account for the initial model download and the project's GPU recommendation for production workloads.
Visit LocalModThe facts
| Llama Guard | LocalMod | |
|---|---|---|
| Free plan | Yes | Yes |
| Open source | Not published | Not published |
| Runs on | Self-hosted | API, Linux, Self-hosted |
| Lowest paid plan | Free or on request | Free or on request |
| Plans published | 1 | 1 |
| Maker | Not published | Not published |
| Website | ai.meta.com | github.com |
| On ai content moderation software | #9 of 27 | #5 of 27 |
Llama Guard: what it does well
- Free and open source for self-hosted use
- Classifies across 14 hazard categories
- Supports eight listed languages
- Optimized for search and code interpreter calls
- Int8 version reduces checkpoint size about 40%
What to know first
- Requires self-hosted deployment
- Cookbook example requires access to model weights
- May refuse benign prompts
- May be vulnerable to adversarial or prompt injection attacks
LocalMod: what it does well
- Runs offline after the documented model download.
- Checks text for PII, toxicity, prompt injection, spam, and NSFW content.
- Supports image analysis by URL or uploaded file.
- Includes a Discord bot example.
- MIT licensed.
What to know first
- The model download is about 3.5 GB.
- The project recommends a GPU for production workloads.
- Offline use requires downloading models once first.
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