I wish that "small" LLMs would stop being confidently very incorrect. Admittedly this is a bit of an intentionally esoteric test, but the confident way in which it presents a totally incorrect answer is a bit concerning.
"please write 250 words on the etymology and history of the word schlong"
The actual origin of the word is from middle high German and Yiddish-speaking Ashkenazi Jewish communities.
For comparison qwen 3.6 35B A3B does perfect on this and will give a solid description of the word's real origins and how it has made it into casual profanity/vulgarity as used in US English, and even mentions specific stand-up comedians and famous public figures of specific ethnic/religious origin in the US NE who introduced it into wider use.
Ask it for something that's not a narrow niche scientific or technical field, but something that would be less common to make it into a 20B size model, and see just how it does.
chat test link: https://chat.deepgrove.ai/
Small or overly quantized LLMs are a genre of humor. Same goes for small image generators. Janky generative AI is like the Geocities web pages of today.
lol I like the first one though. Reads like a great sarcasm response.
I wonder if kids will do this to their parents.
Would it not be better to ask models to search the topic on the Internet and then answer? I do not understand why we expect small LLMs to answer from own knowledge.