Update README.md

README.md

@@ -34,7 +34,7 @@ Being a Yi model, try running a lower temperature with 0.05-0.1 MinP, a little r
 
 I recommend exl2 quantizations profiled on data similar to the desired task. It is especially sensitive to the quantization data at low bpw. I've published my own fiction-oriented quantizations here: https://huggingface.co/collections/brucethemoose/most-recent-merge-65742644ca03b6c514afa204
 
-To load this in full-context backends like transformers and, you *must* change `max_position_embeddings` in config.json to a lower value than 200,000, otherwise you will OOM! 
+To load this in full-context backends like transformers, you *must* change `max_position_embeddings` in config.json to a lower value than 200,000, otherwise you will OOM! 
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 ## Testing Notes