Update README.md

README.md

@@ -12,7 +12,6 @@ tags:
 - CoT
 ---
 <style>
-
   @font-face {
   font-family: Zpix;
   src: url(https://zpix.now.sh/zpix.woff2?v2021-03-21);
@@ -20,28 +19,41 @@ tags:
   * {
     font-family:Zpix;
   }
-
-  *:hover {
-    color: red;
-    font-size: 1000px;
+  #main-ame-back {
+    font-family:Zpix;
+    color: #fd96fd !important;
+    
+      padding: 15px;
+  }
+  a {
+    color:#fd87c2 !important
+  }
+  #main-ame-back h1{
+    color:#8e45f5 !important;
   }
 </style>
 <img src="https://pbs.twimg.com/media/GKJ6VOdbIAAo2yr?format=png&name=900x900"></img>
 
-<h1 style="font-size:48px;margin-bottom:30px;" >ジェルばんは~</h1>
 
-# 🧬Rain-7B-v0.1
 
-Rain-7B-v0.1 is a experimental model finetuned on [Qwen1.5-7B-Chat](https://huggingface.co/Qwen/Qwen1.5-7B-Chat) with thousands of **chain of thought** conversations.
+<div id="main-ame-back">
+
+<div style="font-size:40px;color: #ebb4dd;font-weight:bolder;">ジェルばんは~</div>
 
-# 🧬Evaluation
+  <br>
+<h1>🧬Rain-7B-v0.1</h1>
 
-|Model Name|MMLU|
+
+Rain-7B-v0.1 is a experimental model finetuned on <a href="https://huggingface.co/Qwen/Qwen1.5-7B-Chat">Qwen1.5-7B-Chat</a> with thousands of <b>chain of thought</b> conversations.
+
+<h1>🧬Evaluation</h1>
+  
+|Model name|Score|
 |---|---|
-|Qwen1.5-7B-Chat||
-|**Rain-7B-v0.1**||
+|Qwen1.5-7B-Chat|55.8|
+|Rain-7B-v0.1|58.1|
 
-# 🧬Usage
+<h1>🧬Usage</h1>
 
 ```python
 !pip install -qU transformers accelerate
@@ -50,8 +62,8 @@ from transformers import AutoTokenizer
 import transformers
 import torch
 
-model = "raincandy-u/Rain-7B-v0.1"
-messages = [{"role": "user", "content": "Who is Cho-Tan chan?"}]
+model = "mlabonne/AlphaMonarch-7B"
+messages = [{"role": "user", "content": "What is a large language model?"}]
 
 tokenizer = AutoTokenizer.from_pretrained(model)
 prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
@@ -64,4 +76,8 @@ pipeline = transformers.pipeline(
 
 outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
 print(outputs[0]["generated_text"])
-```
+```
+
+</div>
+
+