AX Gemma 4 31B IT MLX QAT 4-bit Assistant MTP
0
7 commits
1 linked in READMEs
updated Jul 23, 2026
Parameter count: approximately 31.27B logical target parameters (31B class).
4-bitis the target quantization precision, not a 4B model-size claim. The separately packaged assistant is an acceleration component and is not included in the target count.
This is a self-contained MLX model package for Apple Silicon. It combines the quantization-aware-trained Gemma 4 31B instruction target with its exact paired 4-bit assistant for AX Engine multi-token prediction (MTP) / speculative decoding.
The target verifies every drafted token. The assistant improves decode speed without replacing the target model. This repository does not contain PyTorch, GGUF, or the unquantized Google QAT weights.
83b1a12d1da4b07afe435bd2cc310308bfc139845234fd588403c9b68f3bd20a140b7e61700cb7e2QAT means that the upstream checkpoint was optimized during training for its target quantization scheme before the MLX conversion. It is distinct from a post-training-only 4-bit conversion.
hf download AutomatosX/AX-Gemma-4-31B-IT-MLX-QAT-4bit-Assistant-MTP \
--local-dir ./AX-Gemma-4-31B-IT-MLX-QAT-4bit-Assistant-MTP
The repository is approximately 29.1 GB.
Install AX Engine, then serve the downloaded repository directory:
ax-engine serve ./AX-Gemma-4-31B-IT-MLX-QAT-4bit-Assistant-MTP --port 31418
Gemma assistant MTP is enabled by default. AX Engine reads
ax_gemma4_assistant_mtp.json, loads the drafter from assistant/, and uses
the 31B target to verify proposals. Do not load assistant/ by itself as a
general-purpose chat model.
The root target weights can also be loaded for direct MLX generation, but the nested assistant pairing and acceleration are AX Engine-specific.
Validated on macOS arm64 with AX Engine 6.9.0 on 2026-07-20:
ready, with no issuesexactSee ax_provenance.json for immutable source revisions and SHA-256 values.
Apache License 2.0. Review the Gemma 4 license and the official Google model cards for usage limitations and responsible-use guidance.
7 commits
AX Gemma 4 31B IT MLX QAT 4-bit Assistant MTP
0
7 commits
1 linked in READMEs
updated Jul 23, 2026
Parameter count: approximately 31.27B logical target parameters (31B class).
4-bitis the target quantization precision, not a 4B model-size claim. The separately packaged assistant is an acceleration component and is not included in the target count.
This is a self-contained MLX model package for Apple Silicon. It combines the quantization-aware-trained Gemma 4 31B instruction target with its exact paired 4-bit assistant for AX Engine multi-token prediction (MTP) / speculative decoding.
The target verifies every drafted token. The assistant improves decode speed without replacing the target model. This repository does not contain PyTorch, GGUF, or the unquantized Google QAT weights.
83b1a12d1da4b07afe435bd2cc310308bfc139845234fd588403c9b68f3bd20a140b7e61700cb7e2QAT means that the upstream checkpoint was optimized during training for its target quantization scheme before the MLX conversion. It is distinct from a post-training-only 4-bit conversion.
hf download AutomatosX/AX-Gemma-4-31B-IT-MLX-QAT-4bit-Assistant-MTP \
--local-dir ./AX-Gemma-4-31B-IT-MLX-QAT-4bit-Assistant-MTP
The repository is approximately 29.1 GB.
Install AX Engine, then serve the downloaded repository directory:
ax-engine serve ./AX-Gemma-4-31B-IT-MLX-QAT-4bit-Assistant-MTP --port 31418
Gemma assistant MTP is enabled by default. AX Engine reads
ax_gemma4_assistant_mtp.json, loads the drafter from assistant/, and uses
the 31B target to verify proposals. Do not load assistant/ by itself as a
general-purpose chat model.
The root target weights can also be loaded for direct MLX generation, but the nested assistant pairing and acceleration are AX Engine-specific.
Validated on macOS arm64 with AX Engine 6.9.0 on 2026-07-20:
ready, with no issuesexactSee ax_provenance.json for immutable source revisions and SHA-256 values.
Apache License 2.0. Review the Gemma 4 license and the official Google model cards for usage limitations and responsible-use guidance.
7 commits