DSR Formalizer
The DSR Formalizer was created by applying LoRA fine-tuning to Qwen2.5-7B-Instruct with the training dataset.
Modellquelle
- Art
- LoRA
- Dateigröße
- 4,54 GB
- Basismodell
- Qwen2.5
- Version
- vmodel-00001-of-00004
- Aktualisiert
- 9. Okt. 2026
- Verleger
- @XiaoyangLiu-sjtu
- Quelle
- Hugging Face
Quellenbeschreibung
The DSR Formalizer was created by applying LoRA fine-tuning to Qwen2.5-7B-Instruct with the training dataset.
The instruction used for fine-tuning is as follows. To ensure model performance, please use the same instruction for inference.
Please translate the natural language component into Lean4 code, and then parse it into a structured operator tree in JSON format. Use 'formal_content' for the operator logic (with ' ' as placeholders) and 'children' for the nested arguments.\nComponent: {text}\nTag: {tag}
Quellen
1 Quelle
Quellen
1 QuelleVerifiziert 13. Sept.
Modellartefakte
1 Artefakt
Modellartefakte
1 Artefaktmodel-00001-of-00004.safetensors
safetensors · 4,54 GB · SHA-256 cbbc07ab52da…bb21 · Hugging Face
HerunterladenQuellenauszüge
3 Auszüge
Quellenauszüge
3 AuszügeThe DSR Formalizer was created by applying LoRA fine-tuning to Qwen2.5-7B-Instruct with the training dataset. The instruction used for fine-tuning is as follows. To ensure model performance, please use the same instruction for inference. Please translate the natural language component into Lean4 code, and then parse it into a structured operator tree in JSON format. Use 'formal_content' for the operator logic (with '<SLOT>' as placeholders) and 'children' for the nested arguments.\nComponent: {text}\nTag: {tag}
Source context: 8 downloads · 1 likes · Repo XiaoyangLiu-sjtu/DSR_Formalizer
Source context: 4 downloads · 1 likes · Repo XiaoyangLiu-sjtu/DSR_Formalizer
