update community references

README.md

@@ -15,6 +15,16 @@ Hugging Face's [bert-base-uncased](https://huggingface.co/bert-base-uncased).
 
 This study motivated many of the architecture choices around MosaicML's [MPT-7B](https://huggingface.co/mosaicml/mpt-7b) and [MPT-30B](https://huggingface.co/mosaicml/mpt-30b) models.
 
+It is part of the **family of MosaicBERT-Base models** trained using ALiBi on different sequence lengths:
+
+* mosaic-bert-base (trained on a sequence length of 128 tokens)
+* [mosaic-bert-base-seqlen-256](https://huggingface.co/mosaicml/mosaic-bert-base-seqlen-256)
+* [mosaic-bert-base-seqlen-512](https://huggingface.co/mosaicml/mosaic-bert-base-seqlen-512) 
+* [mosaic-bert-base-seqlen-1024](https://huggingface.co/mosaicml/mosaic-bert-base-seqlen-1024)
+* [mosaic-bert-base-seqlen-2048](https://huggingface.co/mosaicml/mosaic-bert-base-seqlen-2048)
+
+The primary use case of these models is for research on efficient pretraining and finetuning for long context embeddings.
+
 ## Model Date
 
 March 2023
@@ -30,6 +40,9 @@ March 2023
 
 ## Community Adoption
 
+* [nomic-bert-2048](https://huggingface.co/nomic-ai/nomic-bert-2048)
+* [mGTE aka gte-multiligual-base](Alibaba-NLP/gte-multilingual-base), see also [mGTE: Generalized Long-Context Text Representation and Reranking
+Models for Multilingual Text Retrieval](https://arxiv.org/pdf/2407.19669)
 * [DNABERT-2-117M](https://huggingface.co/zhihan1996/DNABERT-2-117M) for genome classification
 
 ## How to use