In the last episode, we highlighted the new instruct version of their large MoEs, as Qwen moves away from hybrid reasoning models. This cycle we want to highlight the new 4B versions (Instruct-2507, Thinking-2507). While everyone keeps training and releasing MoE models for very good reasons, dense models are the backbone for academic research and the local community. Qwen3 4B, especially in the instruct-only version, is a great model and I (Florian) have started using it locally for simple tasks (like translation), as the model is really capable and the overall latency is faster than sending requests to the cloud.
Relative Adoption Metric contextualizes downloads against the model's size bucket.
Explore other models with behavioral similarity to Qwen3-4B-Instruct-2507.




