| 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 | |
| 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-wiki-juris-2k-wiki-juris-20260625-001424/v0-20260625-004807/checkpoint-2000` | |
| - Merge time: `2026-06-25T06:14:38.717382+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 | |