wenhu commited on
Commit
a177faf
1 Parent(s): 7132050

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +22 -0
README.md CHANGED
@@ -53,6 +53,28 @@ The models are evaluated using open-ended and multiple-choice math problems from
53
  You can use the models through Huggingface's Transformers library. Use the pipeline function to create a text-generation pipeline with the model of your choice, then feed in a math problem to get the solution.
54
  Check our Github repo for more advanced use: [https://github.com/TIGER-AI-Lab/MAmmoTH](https://github.com/TIGER-AI-Lab/MAmmoTH)
55
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
56
  ## Intended Uses
57
  These models are trained for research purposes. They are designed to solve general math problems. They can be used in educational software, tutoring systems, or any application where a solution to a math problem is needed. The models can generate both a chain of thought (CoT) rationale and a program of thought (PoT) rationale, providing a comprehensive solution to a given math problem.
58
 
 
53
  You can use the models through Huggingface's Transformers library. Use the pipeline function to create a text-generation pipeline with the model of your choice, then feed in a math problem to get the solution.
54
  Check our Github repo for more advanced use: [https://github.com/TIGER-AI-Lab/MAmmoTH](https://github.com/TIGER-AI-Lab/MAmmoTH)
55
 
56
+
57
+ ## Prompt Format
58
+ If you want to do CoT:
59
+ ```
60
+ Below is an instruction that describes a task. Write a response that appropriately completes the request.
61
+
62
+ ### Instruction:
63
+ {instruction}
64
+
65
+ ### Response:
66
+ ```
67
+
68
+ If you want to do PoT:
69
+ ```
70
+ Below is an instruction that describes a task. Write a response that appropriately completes the request.
71
+
72
+ ### Instruction:
73
+ {instruction} Let's write a program.
74
+
75
+ ### Response:
76
+ ```
77
+
78
  ## Intended Uses
79
  These models are trained for research purposes. They are designed to solve general math problems. They can be used in educational software, tutoring systems, or any application where a solution to a math problem is needed. The models can generate both a chain of thought (CoT) rationale and a program of thought (PoT) rationale, providing a comprehensive solution to a given math problem.
80