Update app.py

app.py

@@ -338,19 +338,10 @@ def http_bot(
 
 
 title_markdown = """
-# 🌋 LLaVA: Large Language and Vision Assistant
-[[Project Page]](https://llava-vl.github.io) [[Paper]](https://arxiv.org/abs/2304.08485) [[Code]](https://github.com/haotian-liu/LLaVA) [[Model]](https://github.com/haotian-liu/LLaVA/blob/main/docs/MODEL_ZOO.md)
+# 👩‍🎨 LLaVA-Docent: Large Language and Vision Assistant
+[[Paper]](Not published) [[Code]](https://github.com/codingchild2424/LLaVA-Docent-v1) [[Model]](https://huggingface.co/LLaVA-Docent/llava_docent_v2) [[Dataset]](https://huggingface.co/datasets/LLaVA-Docent/llava_docent_v2)
 
 ONLY WORKS WITH GPU!
-
-You can load the model with 4-bit or 8-bit quantization to make it fit in smaller hardwares. Setting the environment variable `bits` to control the quantization.
-*Note: 8-bit seems to be slower than both 4-bit/16-bit. Although it has enough VRAM to support 8-bit, until we figure out the inference speed issue, we recommend 4-bit for A10G for the best efficiency.*
-
-Recommended configurations:
-| Hardware          | T4-Small (16G)  | A10G-Small (24G) | A100-Large (40G) |
-|-------------------|-----------------|------------------|------------------|
-| **Bits**          | 4 (default)     | 4                | 16               |
-
 """
 
 tos_markdown = """