mlx-community/Qwen3.8-27B-MTP-4bit

🤗 Hugging Face 来源text-generationapache-2.0425M 参数849 MBsafetensors✓ 2 个校验和今天更新
一条命令提交

在你的模型文件夹旁边运行它。它会制作种子、将文件与 Hugging Face 比对,然后提交。你只需开始做种,并粘贴你账户中的密钥。它只读取你的文件,绝不修改。如果愿意,可以先阅读脚本。

curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo mlx-community/Qwen3.8-27B-MTP-4bit ./model-folder
需要做种者 →

Qwen3.8-27B-MTP-4bit

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

mlx_vlm generate \
  --model mlx-community/Qwen3.8-27B-4bit \
  --draft-model mlx-community/Qwen3.8-27B-MTP-4bit \
  --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 affine 4-bit, group size 64
  • 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.