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ragler-llama2-7b-reranker
notoookay/ragler-llama2-7b-reranker
ragler-llama2-7b-reranker is a text ranking model from notoookay. Use it for the text ranking task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
We have updated our model. 1. The previous version uses ms-marco-MiniLM-L-6-v2 as base model, the updated version takes ms-marco-MiniLM-L-12-v2 as base model which shows better generality and performance improvements.
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At a glance
- Task
- Text Ranking
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Aug 26, 2024
- Updated
- Apr 3, 2025
- SHA
- 99f7732d
Model card
From the Hugging Face model README
Update (Dec 31, 2024):
We have updated our model.
-
The previous version uses ms-marco-MiniLM-L-6-v2 as base model, the updated version takes ms-marco-MiniLM-L-12-v2 as base model which shows better generality and performance improvements.
-
The new model uses confidence threshold of 0.8 compared to prior model without confidence-based training.
This model is the corresponding re-ranker supervised by instruction-tuned Llama2-7B, check our paper for more details.
The model generates a relevance score directly during ranking. Please replace the re-ranker argument in the scripts with model id.
- Task
- Text Ranking
- Type
- bert
- License
- mit
- Created
- Aug 26, 2024
- Updated
- Apr 3, 2025