Qwen3.5 Small Wins Low-VRAM Summaries

The real takeaway is that summarization quality here is driven more by prompt discipline and task fit than by sheer model size.

• –One commenter recommends testing small Gemma and Qwen variants side by side, with `Qwen3.5-2B-GGUF` and `Qwen3.5-4B-GGUF` as the first stop
• –Another says even a 7B model is enough for summaries and that their routing stack rarely needs anything above 8B
• –CPU-only deployment looks practical if latency is acceptable, which makes this a good fit for low-VRAM or lightweight self-hosted setups
• –The community advice favors small, modern instruct models over chasing maximum capacity for a narrow, English-only summarization task