Qwen/Qwen3Guard-Gen-8B is an 8 billion parameter safety moderation model developed by Qwen, built upon the Qwen3 architecture. It is specifically designed for generative safety classification, framing it as an instruction-following task. This model excels at detailed risk assessment with a three-tiered severity classification (safe, controversial, unsafe) and offers robust multilingual support across 119 languages for both prompt and response moderation.
Loading preview...
Model tree for
Qwen/Qwen3Guard-Gen-8BMost commonly used values from Featherless users
temperature
This setting influences the sampling randomness. Lower values make the model more deterministic; higher values introduce randomness. Zero is greedy sampling.
top_p
This setting controls the cumulative probability of considered top tokens. Must be in (0, 1]. Set to 1 to consider all tokens.
top_k
This limits the number of top tokens to consider. Set to -1 to consider all tokens.
frequency_penalty
This setting penalizes new tokens based on their frequency in the generated text. Values > 0 encourage new tokens; < 0 encourages repetition.
presence_penalty
This setting penalizes new tokens based on their presence in the generated text so far. Values > 0 encourage new tokens; < 0 encourages repetition.
repetition_penalty
This setting penalizes new tokens based on their appearance in the prompt and generated text. Values > 1 encourage new tokens; < 1 encourages repetition.
min_p
This setting representing the minimum probability for a token to be considered relative to the most likely token. Must be in [0, 1]. Set to 0 to disable.