Parameter count: approximately 25.81B logical target parameters (the
26B-A4B model class), with approximately 4B active per token. 6-bit is the
target quantization precision, not a 6B model-size claim. The separately
packaged assistant is not included in the target count.
This is a self-contained MLX model package for Apple Silicon. It combines
the Gemma 4 26B-A4B instruction-tuned MoE target with its exact paired Google
assistant model for AX Engine multi-token prediction (MTP) / speculative
decoding.
The target model verifies every drafted token. The assistant improves decode
speed without replacing the target model or changing its output distribution.
This repository does not contain PyTorch or GGUF target weights.
The target weight shards and assistant weights are byte-identical to the pinned
upstream revisions. AX Engine adds native manifests, an assistant pairing
contract, an AX-compatible assistant configuration, and a target-tokenizer copy
inside assistant/.
Gemma assistant MTP is enabled by default. AX Engine reads
ax_gemma4_assistant_mtp.json, loads the compact drafter from assistant/, and
uses the 26B-A4B target to verify proposals. Do not load assistant/ by itself
as a general-purpose chat model.
The target weights can also be used for direct MLX generation, but the nested
assistant acceleration and pairing contract are AX Engine-specific.