Update README.md

README.md

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 ## Limitations
 
 - This model is finetuned on LiveCC-7B-Base, which is starting from Qwen2-VL-7B-Base, so it may have limitations mentioned in https://huggingface.co/Qwen/Qwen2-VL-7B.
-- This model is trained only with streaming frame-words paradigm, thus it may be only capable for real-time video commentary.
-- The training ASR data is from YouTube CC, which has well-known low quality, so its formatting is not good (e.g. cannot output punctuation).
-
+- When performing real-time video commentary, it may appear collapse --- e.g., repeat pattern. If you encounter this situation, try to adjust repetition_penalty, streaming_eos_base_threshold, and streaming_eos_threshold_step.
+- This model only has a context window of 32768. Using more visual tokens per frame (e.g. 768 * 28 * 28) will have the best performance, but will shorten the working duration.
+  
 These limitations serve as ongoing directions for model optimization and improvement, and we are committed to continually enhancing the model's performance and scope of application.
 
 ## Citation