BaseRT engine 0.1.6
BaseRT 0.1.6
- Qwen 3.5 / 3.6 support: dense, MoE, and vision-language models (hybrid Gated-DeltaNet architecture), in both the runtime and
basert convert. - M5 tensor-core kernels included: release binaries now ship the Metal 4 kernel library (
baseRT_tensor.metallib) — earlier releases were missing it, so M5 GPUs fell back to slower kernels. Loads automatically; older Macs are unaffected. - Big-model support: models larger than the GPU wiring limit now load and decode at full speed (e.g. a 28 GB model on a 48 GB Mac) instead of failing.
- Qwen3.5-VL accuracy: image preprocessing and multimodal RoPE now match the reference implementation token-for-token.
- CLI:
basert-completeaccepts-nfor max tokens; unknown flags are now errors. - Requires macOS 15+ (Metal 4 kernels engage on macOS 26 / M5).
Contents: libbaseRT.dylib (embedded kernels) + basert CLI + basert-* runtime tools + headers.