A Reddit user questions the long-term viability of the current open-weight Large Language Model ecosystem, citing Qwen's recent decision to withhold the 122B, 35B, 27B, and 9B versions. The concern is that these larger models performed so strongly that the team chose not to release them immediately as open weights.
- Recent analyses suggest open-source models are currently lagging 2–4 months behind state-of-the-art systems.
- Qwen's delay of 1–2 months or longer before releasing open weights could cause the gap to continue widening.
- The discussion focuses on models that can realistically run on consumer-grade hardware, as opposed to massive local setups capable of running 500B+ models.
The author wonders if this trend will eventually lead to another significant shift in the open-source landscape, similar to what happened with Meta-Llama models.