Qwen3.8-27B-hum-compact-MTP-14.1GB

kaitchup/Qwen3.8-27B-hum-compact-MTP-14.1GB

Qwen3.8-27B-hum-compact-MTP-14.1GB is a machine learning model from kaitchup. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.

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Downloads · 30 days

14% of all-time downloads

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345

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Parameters

4.3B

14.1 GB on disk

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Hugging Face

Repo makeup

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.safetensors14.1 GB · 100%

Parameter types

How the weights are stored.

I3227.7B · 93%

Base models

Qwen/Qwen3.8-27B

Model card

From the Hugging Face model README

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This is Qwen/Qwen3.8-27B quantized with AutoRound. Model packed by llm-compressor.

Quantization ("compact" settings):

INT data types
~2.8 bits for linear layers
6-bit LM head
BF16 MTP layers
8-bit activations

The model is compatible with vLLM (tested: v0.26+). Made and Tested with an RTX Pro 6000 (Google Colab's G4). Currently under evaluation: Subscribe to be notified when I publish the results.

Made by: The Kaitchup

Instructions

vllm serve [this_model_id] \
  --tensor-parallel-size 1 \
  --enable-auto-tool-choice \
  --tool-call-parser qwen3_coder \
  --reasoning-parser qwen3

Add --speculative-config '{"method":"mtp","num_speculative_tokens":X}' for MTP, where good values for X are between 2 and 6 (depending on your tasks and concurrency).

Type: qwen3_5
License: apache-2.0
Created: Aug 16, 2026
Updated: Aug 16, 2026