kaitchup/

Qwen3.8-27B-hum-balanced-MTP-16.2GB

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

Quantization ("balanced" settings):

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.

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).