Strata v0.1.16
New: the Coder model. No more re-downloads after an update. Strata is now open source (MIT).
- The GSQ-RCO Coder (ISTA-DASLab), thanks to @pjgmobile's PR #54: Qwen3.8-Flash-Next with half of its experts removed - the ones code, tool use and images need are kept (91% of the full model's SWE-bench Verified, 99% of LiveCodeBench, by its authors). It needs only 32 GB of RAM, runs 262K context on 64 GB, and on a 12 GB card reads prompts at 599-1,350 tokens/s and writes 43-53 tokens/s (1K-262K). Images work. Install it with
START-HERE.bat --setup --family coder; with the original model installed, only its 29.6 GB shard 1 is downloaded (the rest is the same file). - Updating no longer downloads the model again. The model files now live in a
Strata-datafolder next to your Strata folder, so a new copy (an update unzipped elsewhere) finds them and sets itself up the same way. Existing installs are moved there at their next start - instantly on the same drive, and their old folder keeps working. - Clearer start. Before and while the model loads, the window says that your PC can be slow or stop responding for 1-3 minutes (the model is loaded into RAM and locked for the GPU), and what it is doing, instead of a silent wait.
- Open source: Strata is now under the MIT License. Thank you to everyone who contributed - @pipeob0, @pjgmobile, @code-martin, @coolio986, @Mirtraxxx, @Vistawizard, @j-luwierski and everyone who reported issues.
Updating: get the latest files (git pull, or download and unzip anywhere), then run START-HERE.bat with the model window closed: it updates the engine to 0.1.16 by itself. On Linux, run ./setup.sh: it compiles the new engine.
The ready-made Strata engine for Windows (RTX 30 / 40 / 50: sm_86, sm_89, sm_120 + PTX), CUDA 13.0.
You don't need to download this yourself: START-HERE.bat fetches it (and NVIDIA's cuBLAS from pip), so no compiler or CUDA Toolkit is needed, only an NVIDIA driver 580 or newer.
Contents: strata.exe (the engine), strata-vision.exe (the optional image encoder), BUILD.json.