Update README.md

README.md

@@ -18,11 +18,11 @@ It's a very small LLAMA2 model with only 460M parameters trained with 1T tokens.
 
 **Context Length:** 1024 tokens  
 
-**Prompt Format:**  
+**Prompt Format:** 
 
 ```
 <human>: {{prompt}}
-<bot>: 
+<bot>:
 ```
 
 **Template Name:** TinyLlama  
@@ -56,10 +56,10 @@ The TinyLlama project aims to pretrain a 1.1B Llama model on 3 trillion tokens.
 
 **Context Length:** 4096 tokens  
 
-**Prompt Format:**  
+**Prompt Format:** 
 
 ```
-<|system|>You are a friendly chatbot who always responds in the style of a pirate.</s><|user|>{{prompt}}</s><|assistant|> 
+<|system|>You are a friendly chatbot who always responds in the style of a pirate.</s><|user|>{{prompt}}</s><|assistant|>
 ```
 
 **Template Name:** TinyLlama  
@@ -93,10 +93,10 @@ The Mistral-7B-v0.2 Large Language Model (LLM) is a pretrained generative text m
 
 **Context Length:** 4096 tokens  
 
-**Prompt Format:**  
+**Prompt Format:** 
 
 ```
-<s>[INST]{{prompt}}[/INST]</s> 
+<s>[INST]{{prompt}}[/INST]</s>
 ```
 
 **Template Name:** Mistral  
@@ -130,10 +130,10 @@ OpenChat is an innovative library of open-source language models, fine-tuned wit
 
 **Context Length:** 4096 tokens  
 
-**Prompt Format:**  
+**Prompt Format:** 
 
 ```
-<s>[INST]{{prompt}}[/INST]</s> 
+<s>[INST]{{prompt}}[/INST]</s>
 ```
 
 **Template Name:** Mistral  
@@ -167,11 +167,11 @@ Phi-2 is a Transformer with 2.7 billion parameters. It was trained using the sam
 
 **Context Length:** 4096 tokens  
 
-**Prompt Format:**  
+**Prompt Format:** 
 
 ```
 Instruct: {{prompt}}
-Output: 
+Output:
 ```
 
 **Template Name:** PHI  
@@ -205,14 +205,14 @@ The Yi series models are the next generation of open-source large language model
 
 **Context Length:** 200000 tokens  
 
-**Prompt Format:**  
+**Prompt Format:** 
 
 ```
 <|im_start|>user
 <|im_end|>
 {{prompt}}
 <|im_start|>assistant
- 
+
 ```
 
 **Template Name:** yi  
@@ -246,13 +246,13 @@ Gemma is a family of lightweight, state-of-the-art open models built from the sa
 
 **Context Length:** 8192 tokens  
 
-**Prompt Format:**  
+**Prompt Format:** 
 
 ```
 <bos><start_of_turn>user
 {{prompt}}<end_of_turn>
 <start_of_turn>model
- 
+
 ```
 
 **Template Name:** gemma  
@@ -286,12 +286,12 @@ StarCoder2-3B model is a 3B parameter model trained on 17 programming languages
 
 **Context Length:** 8192 tokens  
 
-**Prompt Format:**  
+**Prompt Format:** 
 
 ```
 ### Instruction
 {{prompt}}### Response
- 
+
 ```
 
 **Template Name:** starcoder  
@@ -325,14 +325,14 @@ Chinese Tiny LLM 2B 是首个以中文为中心的大型语言模型，主要在
 
 **Context Length:** 4096 tokens  
 
-**Prompt Format:**  
+**Prompt Format:** 
 
 ```
 <|im_start|>user
 {{prompt}}
 <|im_end|>
 <|im_start|>assistant
- 
+
 ```
 
 **Template Name:** chatml  
@@ -366,14 +366,14 @@ This model is based on Mistral-7b-v0.2 with 16k context lengths. It's a uncensor
 
 **Context Length:** 16384 tokens  
 
-**Prompt Format:**  
+**Prompt Format:** 
 
 ```
 <|im_start|>user
 {{prompt}}
 <|im_end|>
 <|im_start|>assistant
- 
+
 ```
 
 **Template Name:** chatml