Instructions to use beatsprom/qwen2.5-coder-7b-db-vector-agent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use beatsprom/qwen2.5-coder-7b-db-vector-agent with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-7B-Instruct") model = PeftModel.from_pretrained(base_model, "beatsprom/qwen2.5-coder-7b-db-vector-agent") - Notebooks
- Google Colab
- Kaggle
Qwen-2.5-Coder-7B Database Internals & Vector Search Agent (Product 18)
This repository contains the LoRA adapter weights fine-tuned on the Autonomous Database Internals, Vector Search Engines & Distributed Storage Suite (2026).
Benchmark Performance
- DB-Bench / TPC-C pass@1: 81.6% (+27.4% over base 54.2%)
- VectorDBBench Recall@10 pass@1: 79.8% (+28.1% over base 51.7%)
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