Text Generation
Transformers
PyTorch
mpt
Composer
MosaicML
llm-foundry
custom_code
text-generation-inference
sam-mosaic commited on
Commit
671f67f
1 Parent(s): bd1748e

add formatting example (#26)

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- add formatting example (f3359cd88bc76756b70a524814f60422e2ece4ab)

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  1. README.md +25 -0
README.md CHANGED
@@ -98,6 +98,31 @@ from transformers import AutoTokenizer
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  tokenizer = AutoTokenizer.from_pretrained("EleutherAI/gpt-neox-20b")
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  ```
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  ## Model Description
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  The architecture is a modification of a standard decoder-only transformer.
 
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  tokenizer = AutoTokenizer.from_pretrained("EleutherAI/gpt-neox-20b")
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  ```
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+ ### Formatting
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+
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+ This model was trained on data formatted in the dolly-15k format:
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+
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+ ```python
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+ INSTRUCTION_KEY = "### Instruction:"
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+ RESPONSE_KEY = "### Response:"
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+ INTRO_BLURB = "Below is an instruction that describes a task. Write a response that appropriately completes the request."
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+ PROMPT_FOR_GENERATION_FORMAT = """{intro}
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+ {instruction_key}
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+ {instruction}
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+ {response_key}
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+ """.format(
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+ intro=INTRO_BLURB,
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+ instruction_key=INSTRUCTION_KEY,
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+ instruction="{instruction}",
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+ response_key=RESPONSE_KEY,
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+ )
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+
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+ 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."
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+ fmt_ex = PROMPT_FOR_GENERATION_FORMAT.format(instruction=example)
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+ ```
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+
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+ In the above example, `fmt_ex` is ready to be tokenized and sent through the model.
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+
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  ## Model Description
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  The architecture is a modification of a standard decoder-only transformer.