JANGQ-AI/gemma-4-31B-it-qat-JANG_4M

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JANGQ-AI/gemma-4-31B-it-qat-JANG_4M

JANG4M MLX affine bundle converted from [google/gemma-4-31B-it-qat-q40-unquantized](https://huggingface.co/google/gemma-4-31B-it-qat-q4_0-unquantized).

This bundle keeps Gemma 4 bookends and media-sensitive components coherent: token embeddings/output projection, norms, media towers/embedders, and Gemma 4 per-layer embedding/gate/projector tensors are fp16 passthrough; self-attention and MoE router projections are 8-bit affine; decoder MLP/expert bulk is 4-bit affine.

Bundle

Modalities

Runtime support depends on a Gemma 4 compatible MLX/vMLX loader that understands config.json quantization overrides, jang_config.json, and Gemma 4 processor/chat-template files.

Runtime Metadata

• —config.json has source-derived has_vision, has_audio, has_video, modalities, and capabilities.
• —tokenizer_config.json includes bos_token_id, eos_token_id, pad_token_id, and the patched Gemma 4 chat template.
• —processor_config.json is preserved for Gemma 4 multimodal processing.
• —MTP/speculative drafter weights are not present in the source checkpoint; metadata is mtp: none / mtp_policy: none.