Feature Extraction
Transformers
Safetensors
qwen3
text-generation
embeddings
legal-retrieval
procurement
lora-merged
text-embeddings-inference
Instructions to use LorMolf/Qwen-Embedding-ProcCode with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LorMolf/Qwen-Embedding-ProcCode with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="LorMolf/Qwen-Embedding-ProcCode")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("LorMolf/Qwen-Embedding-ProcCode") model = AutoModelForCausalLM.from_pretrained("LorMolf/Qwen-Embedding-ProcCode") - Notebooks
- Google Colab
- Kaggle
Upload wiki-link supervised Qwen3 embedding checkpoint-2000
Browse files- README.md +4 -4
- merge_manifest.json +8 -8
- model.safetensors +1 -1
README.md
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Merged Qwen3-Embedding checkpoint for Italian public-procurement retrieval.
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- Base model: `Qwen/Qwen3-Embedding-0.6B`
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- Merge base model: `src_appalti/src_retriever/data/qwen3_embedding/merged/
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- Initialization adapter checkpoint: `src_appalti/src_retriever/data/qwen3_embedding/
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- Adapter checkpoint: `src_appalti/src_retriever/data/qwen3_embedding/outputs/qwen3-embedding-
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- Merge time: `2026-06-
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- Training backend: SWIFT `qwen3_emb` LoRA, InfoNCE
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- Expected query format: `Instruct: <retrieval instruction>\nQuery: <question>`
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- Document format: raw article/source or wiki-node text without instruction prefix
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Merged Qwen3-Embedding checkpoint for Italian public-procurement retrieval.
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- Base model: `Qwen/Qwen3-Embedding-0.6B`
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- Merge base model: `src_appalti/src_retriever/data/qwen3_embedding/merged/Qwen-Embedding-ProcCode-checkpoint-2000`
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- Initialization adapter checkpoint: `src_appalti/src_retriever/data/qwen3_embedding/merged/Qwen-Embedding-ProcCode-checkpoint-2000`
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- Adapter checkpoint: `src_appalti/src_retriever/data/qwen3_embedding/outputs/qwen3-embedding-wiki-juris-2k-wiki-juris-20260625-001424/v0-20260625-004807/checkpoint-2000`
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- Merge time: `2026-06-25T06:14:38.717382+00:00`
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- Training backend: SWIFT `qwen3_emb` LoRA, InfoNCE
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- Expected query format: `Instruct: <retrieval instruction>\nQuery: <question>`
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- Document format: raw article/source or wiki-node text without instruction prefix
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merge_manifest.json
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{
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"adapter_checkpoint": "src_appalti/src_retriever/data/qwen3_embedding/outputs/qwen3-embedding-
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"base_model": "Qwen/Qwen3-Embedding-0.6B",
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"dataset_dir": "src_appalti/src_retriever/data/procurement/
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"initialization_adapter_checkpoint": "src_appalti/src_retriever/data/qwen3_embedding/
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"merge_base_model": "src_appalti/src_retriever/data/qwen3_embedding/merged/
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"merged_at": "2026-06-
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"pack_dir": "src_appalti/src_retriever/data/qwen3_embedding/
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"pack_manifest_sha256": "
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"pack_train_sha256": "
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"raw_base_model": "Qwen/Qwen3-Embedding-0.6B",
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"repo_id": "LorMolf/Qwen-Embedding-ProcCode",
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"torch_dtype": "bfloat16"
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{
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"adapter_checkpoint": "src_appalti/src_retriever/data/qwen3_embedding/outputs/qwen3-embedding-wiki-juris-2k-wiki-juris-20260625-001424/v0-20260625-004807/checkpoint-2000",
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"base_model": "Qwen/Qwen3-Embedding-0.6B",
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"dataset_dir": "src_appalti/src_retriever/data/procurement/20260625_001428",
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"initialization_adapter_checkpoint": "src_appalti/src_retriever/data/qwen3_embedding/merged/Qwen-Embedding-ProcCode-checkpoint-2000",
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"merge_base_model": "src_appalti/src_retriever/data/qwen3_embedding/merged/Qwen-Embedding-ProcCode-checkpoint-2000",
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"merged_at": "2026-06-25T06:14:38.717799+00:00",
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"pack_dir": "src_appalti/src_retriever/data/qwen3_embedding/qwen3-embedding-wiki-juris-2k-wiki-juris-20260625-001424",
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"pack_manifest_sha256": "6c14d45beb94103b6225cf130bc64b85cb3ab5546ee31ada364a781f52cae95b",
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"pack_train_sha256": "d206b8817ec9f651be773ae3ce2b456062344295aa1967fdb44092cda175a925",
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"raw_base_model": "Qwen/Qwen3-Embedding-0.6B",
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"repo_id": "LorMolf/Qwen-Embedding-ProcCode",
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"torch_dtype": "bfloat16"
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 1191588280
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