Add pipeline tag and link to code

README.md

@@ -1,14 +1,15 @@
 ---
-license: apache-2.0
+base_model: BitStarWalkin/SuperCorrect-7B
 language:
 - en
+library_name: transformers
+license: apache-2.0
 metrics:
 - accuracy
-base_model: BitStarWalkin/SuperCorrect-7B
-library_name: transformers
 tags:
 - llama-cpp
 - gguf-my-repo
+pipeline_tag: question-answering
 ---
 
 # Triangle104/SuperCorrect-7B-Q8_0-GGUF
@@ -36,7 +37,7 @@ Examples
 🚨 For more concise and clear presentation, we omit some XML tags.
 Model details
 
-You can check our Github repo for more details.
+You can check our Github repo for more details: https://github.com/YangLing0818/SuperCorrect-llm.
 
 Quick Start
 -
@@ -50,6 +51,7 @@ Inference
 -
 🤗 Hugging Face Transformers
 
+```python
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
 model_name = "BitStarWalkin/SuperCorrect-7B"
@@ -62,7 +64,7 @@ model = AutoModelForCausalLM.from_pretrained(
 )
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 
-prompt = "Find the distance between the foci of the ellipse \[9x^2 + \frac{y^2}{9} = 99.\]"
+prompt = "Find the distance between the foci of the ellipse \\[9x^2 + \\frac{y^2}{9} = 99.\\]"
 hierarchical_prompt = "Solve the following math problem in a step-by-step XML format, each step should be enclosed within tags like <Step1></Step1>. For each step enclosed within the tags, determine if this step is challenging and tricky, if so, add detailed explanation and analysis enclosed within <Key> </Key> in this step, as helpful annotations to help you thinking and remind yourself how to conduct reasoning correctly. After all the reasoning steps, summarize the common solution and reasoning steps to help you and your classmates who are not good at math generalize to similar problems within <Generalized></Generalized>. Finally present the final answer within <Answer> </Answer>."
 # HT
 messages = [
@@ -87,6 +89,7 @@ generated_ids = [
 
 response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
 print(response)
+```
 
 Performance
 -
@@ -96,13 +99,13 @@ Citation
 -
 @article{yang2024supercorrect,
 title={SuperCorrect: Supervising and Correcting Language Models with Error-Driven Insights}
-  author={Yang, Ling and Yu, Zhaochen and Zhang, Tianjun and Xu, Minkai and Gonzalez, Joseph E and Cui, Bin and Yan, Shuicheng},
+  author={Yang, Ling and Yu, Zhaochen and Zhang, Tianjun and Xu, Minkai, and Gonzalez, Joseph E and Cui, Bin and Yan, Shuicheng},
   journal={arXiv preprint arXiv:2410.09008},
   year={2024}
 }
 @article{yang2024buffer,
   title={Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models},
-  author={Yang, Ling and Yu, Zhaochen and Zhang, Tianjun and Cao, Shiyi and Xu, Minkai and Zhang, Wentao and Gonzalez, Joseph E and Cui, Bin},
+  author={Yang, Ling and Yu, Zhaochen and Zhang, Tianjun and Xu, Minkai, and Cao, Shiyi and Zhang, Wentao and Gonzalez, Joseph E and Cui, Bin},
   journal={arXiv preprint arXiv:2406.04271},
   year={2024}
 }
@@ -150,4 +153,4 @@ Step 3: Run inference through the main binary.
 or 
 ```
 ./llama-server --hf-repo Triangle104/SuperCorrect-7B-Q8_0-GGUF --hf-file supercorrect-7b-q8_0.gguf -c 2048
-```
+```