This repository contains quantized Multi-Token Prediction (MTP) drafter weights split from Qwen/Qwen3.6-35B-A3B 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 Qwen3.6 35B-A3B target checkpoint.
Use this repo only as a speculative decoding drafter for compatible Qwen3.6 35B-A3B checkpoints. The target model verifies drafted tokens, while this MTP model proposes candidate tokens per decoding step.
This checkpoint requires runtime support for Qwen 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 Qwen/Qwen3.6-35B-A3B model card and license terms for model usage constraints.
Files
8 files · 495 MBWeights 475 MB (safetensors). Sizes and sha256 from the signed manifest.
import os
os.environ["HF_ENDPOINT"] = "https://freeweights.allternit.com"
from transformers import AutoModelForCausalLM, AutoTokenizer
tok = AutoTokenizer.from_pretrained("mlx-community/Qwen3.6-35B-A3B-MTP-4bit", revision="0295b81421bf4d0fccca9a7c0fcfb1418dda3516")
model = AutoModelForCausalLM.from_pretrained("mlx-community/Qwen3.6-35B-A3B-MTP-4bit", revision="0295b81421bf4d0fccca9a7c0fcfb1418dda3516", device_map="auto")