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README.md

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 # Weaver Distilled - All Datasets (gte-Qwen2-1.5B-instruct)
 
-This is a distilled cross-encoder model based on gte-Qwen2-1.5B-instruct, trained to predict the correctness of answers across multiple domains. This general-purpose verifier was trained on Weaver scores aggregated over 35 different verifiers and reward models.
+This is a distilled cross-encoder model based on [Alibaba-NLP/gte-Qwen2-1.5B-instruct](https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct), trained to predict the correctness of answers across multiple domains: [MATH500](https://huggingface.co/datasets/HuggingFaceH4/MATH-500), [GPQA](https://huggingface.co/datasets/Idavidrein/gpqa), and [MMLU Pro](https://huggingface.co/datasets/TIGER-Lab/MMLU-Pro). This general-purpose verifier was trained on Weaver scores aggregated over 35 different verifiers and reward models.
 
 ## Model Details