DSR Formalizer
The DSR Formalizer was created by applying LoRA fine-tuning to Qwen2.5-7B-Instruct with the training dataset.
Fuente del modelo
- Tipo
- LoRA
- Tamaño del archivo
- 4,54 GB
- Modelo base
- Qwen2.5
- Versión
- vmodel-00001-of-00004
- Actualizado
- 9 oct 2026
- Publicador
- @XiaoyangLiu-sjtu
- Fuente
- Hugging Face
Descripción de la fuente
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}
Fuentes
1 fuente
Fuentes
1 fuenteVerificado 13 sept
Artefactos del modelo
1 artefacto
Artefactos del modelo
1 artefactomodel-00001-of-00004.safetensors
safetensors · 4,54 GB · SHA-256 cbbc07ab52da…bb21 · Hugging Face
DescargarExtractos de fuentes
3 extractos
Extractos de fuentes
3 extractosThe 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
