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mlx-community/gemma-4-31B-it-qat-assistant-8bit
gemma-4-31B-it-qat-assistant-8bit is a text generation model from mlx-community. Use it when you need the model to write or continue text. It is set up for mlx. The card lists the license as gemma.
This repository contains Multi-Token Prediction (MTP) drafter weights split from google/gemma-4-31B-it-qat-q40-unquantized-assistant for use with mlx-vlm speculative decoding.
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How the weights are stored.
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From the Hugging Face model README
This repository contains Multi-Token Prediction (MTP) drafter weights split from google/gemma-4-31B-it-qat-q4_0-unquantized-assistant for use with mlx-vlm speculative decoding.
This is not a standalone chat or text-generation model. Load it as the draft model alongside a compatible Gemma 4 31B target checkpoint.
uv run mlx_vlm.generate \
--model google/gemma-4-31B-it \
--draft-model mlx-community/gemma-4-31B-it-qat-assistant-8bit \
--draft-kind mtp \
--prompt "Describe this image." \
--max-tokens 256
For local weights:
uv run mlx_vlm.generate \
--model /path/to/target-model \
--draft-model /path/to/gemma-4-31B-mtp \
--draft-kind mtp \
--prompt "Describe this image." \
--max-tokens 256
gemma4_assistantmlx-vlmThe stored tensors are 8bit MLX-compatible drafter weights.
Use this repo only as a speculative decoding drafter for compatible Gemma 4 31B checkpoints. The target model verifies drafted tokens, while this MTP model proposes candidate tokens per decoding step.
This checkpoint requires runtime support for Gemma 4 MTP draft models in mlx-vlm. Standard standalone generation through generic Transformers APIs is not expected to work with this repository by itself.
Please refer to the upstream google/gemma-4-31B-it model card and license terms for model usage constraints.