One engine, Any model.
The engine reads the model header, picks the architecture and kernel path, and runs. No config, no per-model glue, no registry to maintain. And every family serves from one shared memory pool — NPU, GPU and host alias the same SharedBO pages, zero copies — with one chained API call per layer (the Windows NPU model, matched on Linux).
569architecture tokens
2,030HF arch strings
100%checkpoints mapped
The validated families.
supported & validated
functional · perf pending / not yet
Zyphra
flagship · MoE · SSM · denseQwen
dense · MoE · visionLlama
denseMistral / Pixtral
dense · visionGemma
dense · embeddingPhi
denseDeepSeek
MoE (MLA)Falcon
denseGPT-OSS
MoEMoonshot Kimi
gated MLA MoEBitNet / Bonsai
ternary-nativeWhisper
speech-to-textQwen-VL
vision
1BP format. Dense models use Q4NX 4-bit; only ternary-native checkpoints (BitNet / Bonsai) use TQ2 2-bit. The engine never converts dense to TQ2, because it is quality-destructive and it refuses to do it silently.