This release brings a solid decoding and prefill speed boost across the entire Qwen3.5 family and Qwen3.6-MoE, plus a heads-up on a required weight update.
📥 Weights Update Required
Models in this release are quantized by FLM itself. If you're upgrading to v1.0.2, you'll need to re-download weights for the Qwen3.5 family and Qwen3.6-MoE — existing local copies from prior versions are not compatible.
flm pull qwen3.5:0.8b
flm pull qwen3.5:2b
flm pull qwen3.5:4b
flm pull qwen3.5:9b
flm pull qwen3.6-moe:35b-a3b⚡ Performance Boost: Qwen3.5 Family & Qwen3.6-MoE
Both prefill and decoding throughput have been improved across all context lengths (1k–32k) for Qwen3.5 (0.8B, 2B, 4B, 9B) and Qwen3.6-MoE (35B-A3B).
| Model | Decoding Gain (avg / peak) | Prefill Gain (avg / peak) |
|---|---|---|
| Qwen3.5 0.8B | +9.5% / +14.5% | +34.8% / +44.3% |
| Qwen3.5 2B | +10.2% / +11.8% | +27.2% / +33.3% |
| Qwen3.5 4B | +11.5% / +13.1% | +31.5% / +37.4% |
| Qwen3.5 9B | +12.0% / +13.0% | +25.5% / +29.2% |
| Qwen3.6-MoE 35B-A3B | +11.4% / +13.0% | +15.9% / +19.7% |
Gains are largest on smaller models and at mid-to-long context lengths, with prefill benefiting more than decoding across the board.
🌟 Summary
| Highlight | |
|---|---|
| 📥 | Weights update required for Qwen3.5 family and Qwen3.6-MoE — re-pull models before running v1.0.2 |
| ⚡ | Qwen3.5 family (0.8B/2B/4B/9B): up to +14.5% decoding and +44.3% prefill throughput |
| ⚡ | Qwen3.6-MoE 35B-A3B: up to +13.0% decoding and +19.7% prefill throughput |
Thanks for your support — see you in the next one! 🚀