I evaluated Qwen/Qwen3-0.6B, an official Hugging Face text-generation model with 0.6B parameters.
The model card lists it as a general causal language model and provides a Transformers quickstart.
The Blind spots I found
This model appeared weakest on:
exact character counting
string reversal and format preservation
calendar/date reasoning
arithmetic with multiple steps
negation-sensitive translation
constrained responses requiring exact formatting
What data could fix this?
To fix these… See the full description on the dataset page:
https://huggingface.co/datasets/Nafeesah/Qwen_Blind_Spots.
