This is a big one — v1.0.0 marks our first general release under the ROCm organization. Here's what's new 🎉
🏠 General Release v1.0.0 in the ROCm Org
FastFlowLM is now officially maintained under ROCm/FastFlowLM. Everything from the old repo — issues, pull requests, and history — has been transferred over, so nothing is lost in the move. All future releases, issues, and contributions happen there — please make sure your bookmarks, forks, and remotes point to the new home.
🤖 New Model: SmolVLA
FLM now supports SmolVLA, a vision-language-action (VLA) model, adding robotics support to the lineup alongside our existing LLM and VLM models.
Model card and usage details:
- Hugging Face: https://huggingface.co/FastFlowLM/smolvla
- ModelScope: https://modelscope.cn/models/amd/smolvla
⚙️ Fine-Grained Control for flm bench
To keep benchmarking fast by default, flm bench now runs 2 iterations at each context length from 1k to 32k.
Need more data points? Override the iteration count with a flag:
flm bench --bench-iterations 4🐛 Bug Fix: Qwen3-VL Two-Image Handling
Fixed an issue in qwen3vl-it where passing two images in a single request could cause the model to fail to recognize either image. Multi-image prompts now resolve correctly.
🌟 Summary
| Highlight | |
|---|---|
| 🏠 | General release v1.0.0 — first release under the ROCm/FastFlowLM org |
| 🤖 | New model: SmolVLA support |
| ⚙️ | flm bench now defaults to 2 iterations per context length, configurable via --bench-iterations |
| 🐛 | Fixed qwen3vl-it failing to recognize images when given two at once |
Thanks for your support — see you in the next one! 🚀