Qwen2.5 Technical Report — mentioned by magicalhippo

Fri, 20 Feb 2026 16:05:04 GMT

From what I've gathered, they've been mostly training limited. Better training methods and cleaner training data allows smaller models to rival or outperform larger models training with older methods and lower-quality training data. For example, the Qwen3 technical report[1] says that the Qwen3 models are architecturally very similar to Qwen2.5, with the main change being a tweak in the attention layers to stabilize training. And if you compare table 1 in Qwen3 paper with table 1 in Qwen 2.5 technical report[2], the layer count, attention configuration and such is very similar. Yet Qwen3 was…

Paper and discussion history. A mention is not an endorsement.

Qwen2.5 Technical Report · HackerPapers discussions

Qwen2.5 Technical Report — mentioned by magicalhippo