PPP-36B

A Seed-OSS-36B-Instruct (https://huggingface.co/ByteDance-Seed/Seed-OSS-36B-Instruct) model trained to localize function names in a repository (SWE-Func-Loc) and interact with users in a proactive and personalized way.

Paper: Training Proactive and Personalized LLM Agents (https://arxiv.org/pdf/2511.02208)

Github: https://github.com/sunnweiwei/PPP-Agent

Serving with vLLM

This model includes bias terms in attention output projections. To serve correctly:

wget https://huggingface.co/sunweiwei/PPP-36B/resolve/main/patch_seed_oss.py
python -c "import patch_seed_oss" && vllm serve sunweiwei/PPP-36B

Or in Python:

import patch_seed_oss  # Load once after downloading
from vllm import LLM

llm = LLM("sunweiwei/PPP-36B")

The patch reads the attention_out_bias config parameter to properly initialize the model.