---
base_model: Qwen/Qwen3-Embedding-0.6B
library_name: transformers
pipeline_tag: feature-extraction
tags:
- qwen3
- embeddings
- legal-retrieval
- procurement
- lora-merged
---

# LorMolf/Qwen-Embedding-ProcCode-aligned-2k

Merged Qwen3-Embedding checkpoint for Italian public-procurement retrieval.

- Base model: `Qwen/Qwen3-Embedding-0.6B`
- Merge base model: `src_appalti/src_retriever/data/qwen3_embedding/merged/Qwen-Embedding-ProcCode-checkpoint-2000`
- Initialization adapter checkpoint: `src_appalti/src_retriever/data/qwen3_embedding/merged/Qwen-Embedding-ProcCode-checkpoint-2000`
- Adapter checkpoint: `src_appalti/src_retriever/data/qwen3_embedding/outputs/qwen3-embedding-0_6b-basecode-aligned-2k-20260623_232914/v0-20260623-233753/checkpoint-2000`
- Merge time: `2026-06-24T08:48:00.004976+00:00`
- Training backend: SWIFT `qwen3_emb` LoRA, InfoNCE
- Expected query format: `Instruct: <retrieval instruction>\nQuery: <question>`
- Document format: raw article/source or wiki-node text without instruction prefix
- Max context used during training/eval: 32768 tokens