solidrust / Meta-Llama-Guard-2-8B-AWQ

huggingface.co
Total runs: 17
24-hour runs: 0
7-day runs: -2
30-day runs: -48
Model's Last Updated: September 03 2024
text-generation

Introduction of Meta-Llama-Guard-2-8B-AWQ

Model Details of Meta-Llama-Guard-2-8B-AWQ

meta-llama/Meta-Llama-Guard-2-8B AWQ

Model Summary

Meta Llama Guard 2 is an 8B parameter Llama 3-based [1] LLM safeguard model. Similar to Llama Guard , it can be used for classifying content in both LLM inputs (prompt classification) and in LLM responses (response classification). It 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. Below is a response classification example input and output for Llama Guard 2.

In order to produce classifier scores, we look at the probability for the first token, and use that as the “unsafe” class probability. We can then apply score thresholding to make binary decisions.

Runs of solidrust Meta-Llama-Guard-2-8B-AWQ on huggingface.co

17
Total runs
0
24-hour runs
0
3-day runs
-2
7-day runs
-48
30-day runs

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More Meta-Llama-Guard-2-8B-AWQ license Visit here:

https://choosealicense.com/licenses/llama3

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https://huggingface.co/solidrust/Meta-Llama-Guard-2-8B-AWQ

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https://huggingface.co/solidrust/Meta-Llama-Guard-2-8B-AWQ

Meta-Llama-Guard-2-8B-AWQ install

Meta-Llama-Guard-2-8B-AWQ is an open source model from GitHub that offers a free installation service, and any user can find Meta-Llama-Guard-2-8B-AWQ on GitHub to install. At the same time, huggingface.co provides the effect of Meta-Llama-Guard-2-8B-AWQ install, users can directly use Meta-Llama-Guard-2-8B-AWQ installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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