From 6acf99fddff7461b4a7545eb1d68d4a6ab3bc2af Mon Sep 17 00:00:00 2001
From: qianyu chen <38046403+qyc-98@users.noreply.github.com>
Date: Wed, 14 Aug 2024 18:42:37 +0800
Subject: [PATCH] update

---
 finetune/readme.md | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/finetune/readme.md b/finetune/readme.md
index 6af1b3d..b07aaec 100644
--- a/finetune/readme.md
+++ b/finetune/readme.md
@@ -55,7 +55,9 @@ If your input consists of a single image, you can use a single placeholder **\<i
 #### Multiple Images Example
 For inputs containing multiple images, utilize a dictionary where each key represents a unique placeholder (e.g., **\<image_00\>**, **\<image_01\**) with the corresponding image path as its value. These placeholders can then be used within the conversation to seamlessly insert images at specific positions.
 
-Additionally, to optimize resource management, especially when dealing with large batches of images during training or inference, consider reducing `max_slice_nums`. If you are performing multi-image supervised fine-tuning (SFT), it's recommended to set `MODEL_MAX_LENGTH=4096` in your script for better performance.
+Additionally, to optimize resource management, especially when dealing with large batches of images during training or inference, consider reducing `max_slice_nums`. For example, when an image has a maximum resolution of 1344x1344, setting `slice=9` will occupy approximately 640 tokens, while `slice=2` will occupy around 192 tokens. If the total token count exceeds `max_length`, truncation will be applied.
+
+If you are performing multi-image supervised fine-tuning (SFT), it's recommended to set `MODEL_MAX_LENGTH=4096` in your script for better performance.
 
 
 <details>