| # 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) | |
| ## Serving with vLLM | |
| This model includes bias terms in attention output projections. To serve correctly: | |
| ```bash | |
| 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: | |
| ```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. |