Create README.md

README.md

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+---
+language:
+- en
+base_model:
+- google/gemma-2-9b-it
+---
+
+# Gofer Embeddings v0.8
+
+Gofer is a dense-vector embedding model, trained especially for retrieval.  As of December 2, 2024, Gofer achieves the #1 position overall on the _MTEB Retrieval_ leaderboard, with a score of 63.01.  
+
+# Important Notes
+* This is not an official Google product.
+* This is a research project.
+
+# Results summary
+
+Results compared to BGE-EN-ICL on several large datasets
+
+Model | DBPedia | FEVER | HotPotQA | MSMARCO | NQ |
+------ | --------- | ------ |  ------- |  ------- |  ------ |
+BGE-EN-ICL | 51.63 | 92.83 | 85.14 | 46.79 | 73.88 |
+Gofer Embeddings v0.8 | 52.58 | 93.225 | 86.921 | 47.537 | 73.75 |
+
+# Model & Data
+
+Our base encoder model is [Gemma2 9B](https://huggingface.co/google/gemma-2-9b). 
+
+We use the [BGE-EN-ICL training data](https://huggingface.co/datasets/cfli/bge-full-data).
+
+# Research Team
+
+* Nicholas Monath
+* Michael Boratko
+* Seungyeon Kim
+* Andrew McCallum
+* Rob Fergus
+* Manzil Zaheer
+
+