Update README.md

README.md

@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Model Card for RankZephyr 7B V1 - Full
 
-RankZephyr is a series of language models that are trained to act as helpful reranking assistants built on the Zephyr-7B-β model.
-RankZephyr Base is the model that follows single stage fine-tuning on the RankGPT-3.5 model, while RankZephyr Full is the model that is further fine-tuned on RankGPT-4 reorderings of OpenAI's Ada2 orderings for 5K queries.
+RankZephyr is a series of language models trained to act as helpful reranking assistants built on the Zephyr-7B-β model.
+RankZephyr Base is the model that follows single-stage fine-tuning on the RankGPT-3.5 model, while RankZephyr Full is the model that is further fine-tuned on RankGPT-4 reorderings of OpenAI's Ada2 orderings for 5K queries.
 
 
 ## Model description
@@ -50,13 +50,13 @@ With the MS MARCO v1 collection:
 | RankGPT-3.5 |  -| SPLADE++ ED  | 0.7504 |  0.7120|
 
 
+More details can be found in the paper.
 
+## Intended uses & limitations
 
-## Intended uses & limitationspacka
+The model is to be used in conjunction with the [RankLLM repository](https://github.com/castorini/rank_llm). While `rank-llm` exists as a PyPI package, we are currently in the early stages of development and encourage users to directly check install from source.
 
-The following is an excerpt from the [Zephyr-7B-β model card](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta/blob/main/README.md#intended-use--limitations):
-
-In our case, RankZephyr is fine-tuned to act as a listwise reranking agent. You provide it with a query and documents and get back a reordered list of document identifiers.
+The original Zephyr model is trained for chat. In our case, RankZephyr is fine-tuned to act as a listwise reranking agent. You provide it with a query and documents and get back a reordered list of document identifiers.
 
 
 ## Bias, Risks, and Limitations