FastFlowLM v0.9.22 delivers decoding optimizations across the entire Qwen model family and adds more flexible server deployment options.
β‘ Decoding Acceleration: Qwen Series
This update brings decoding performance improvements to all models in Qwen3 family:
qwen3:0.6b(reasoning) reaching 80 tpsqwen3:1.7b(reasoning) reaching 43 tpsqwen3:4b(reasoning) reaching 21 tpsqwen3:8b(reasoning) reaching 12.5 tpsdeepseek-r1-0528:8b(reasoning) reaching 12.5 tpsqwen3-it:4breaching 21 tpsqwen3-tk:4b(reasoning) reaching 21 tpsqwen3vl-it:4b(vison) reaching 21 tps
Expect smoother token generation and reduced latency across all context lengths.
π IP Binding for Serve Mode
You can now bind flm serve to a specific IP address:
flm serve --host 127.0.0.1Use cases include:
- Localhost-only testing
- Binding to specific network interfaces
- Secure multi-device deployments
π€ Flm-Compagnon (flm-manager)
Flm Compagnon (flm-manager) is an independent project done by @julienM77 Itβs intuitive, user-friendly, and we absolutely love it!
Brief: Flm Compagnon is a modern GUI designed to accompany and manage the FastFlowLM (FLM) project. It offers a smooth user experience to interact with your local AI models, monitor the server, and manage your configurations.
https://github.com/julienM77/Flm-Companion
This release improves both backend speed and frontend deployment control.