This repository contains the Multi-Token Prediction (MTP) drafter weights split from Qwen/Qwen3.8-27B and quantized with mlx_vlm.convert for mlx-vlm speculative decoding.

This is not a standalone model. Use it as the draft model alongside a compatible Qwen3.8 27B target checkpoint.

Use with mlx-vlm

bash

mlx_vlm generate \
  --model mlx-community/Qwen3.8-27B-nvfp4 \
  --draft-model mlx-community/Qwen3.8-27B-MTP-nvfp4 \
  --prompt "Write a quicksort in Python." \
  --max-tokens 256 \
  --enable-thinking

--draft-kind mtp is detected automatically from model_type.

Model details

Model type: qwen3_5_mtp
MTP block size: 3
Target architecture: Qwen3.8 27B
Precision: MLX NVFP4, group size 16
Runtime: MLX / mlx-vlm
Source revision: 1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0

The adapter holds only the MTP drafter weights; the target supplies the token embeddings and language-model head at runtime. Use an adapter and target derived from the same Qwen3.8 27B checkpoint. The upstream Apache 2.0 license and model limitations continue to apply.