Text Generation
Transformers
PyTorch
mpt
Composer
MosaicML
llm-foundry
custom_code
text-generation-inference
sam-mosaic commited on
Commit
f3359cd
1 Parent(s): bd1748e

add formatting example

Browse files
Files changed (1) hide show
  1. README.md +25 -0
README.md CHANGED
@@ -98,6 +98,31 @@ from transformers import AutoTokenizer
98
  tokenizer = AutoTokenizer.from_pretrained("EleutherAI/gpt-neox-20b")
99
  ```
100
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
101
  ## Model Description
102
 
103
  The architecture is a modification of a standard decoder-only transformer.
 
98
  tokenizer = AutoTokenizer.from_pretrained("EleutherAI/gpt-neox-20b")
99
  ```
100
 
101
+ ### Formatting
102
+
103
+ This model was trained on data formatted in the dolly-15k format:
104
+
105
+ ```python
106
+ INSTRUCTION_KEY = "### Instruction:"
107
+ RESPONSE_KEY = "### Response:"
108
+ INTRO_BLURB = "Below is an instruction that describes a task. Write a response that appropriately completes the request."
109
+ PROMPT_FOR_GENERATION_FORMAT = """{intro}
110
+ {instruction_key}
111
+ {instruction}
112
+ {response_key}
113
+ """.format(
114
+ intro=INTRO_BLURB,
115
+ instruction_key=INSTRUCTION_KEY,
116
+ instruction="{instruction}",
117
+ response_key=RESPONSE_KEY,
118
+ )
119
+
120
+ example = "James decides to run 3 sprints 3 times a week. He runs 60 meters each sprint. How many total meters does he run a week? Explain before answering."
121
+ fmt_ex = PROMPT_FOR_GENERATION_FORMAT.format(instruction=example)
122
+ ```
123
+
124
+ In the above example, `fmt_ex` is ready to be tokenized and sent through the model.
125
+
126
  ## Model Description
127
 
128
  The architecture is a modification of a standard decoder-only transformer.