Text Generation
Transformers
PyTorch
Safetensors
English
gpt_refact
code
custom_code
Eval Results
svakhreev commited on
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Update README.md

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@@ -640,7 +640,7 @@ prompt_template = "<empty_output>SYSTEM {system}\n" \
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  "<empty_output>ASSISTANT"
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  prompt = prompt_template.format(system="You are a programming assistant",
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  query="How do I sort a list in Python?")
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-
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  # Architecture
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@@ -698,7 +698,6 @@ and to perform well on a wide range of metrics. The best attempt took 40B tokens
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  The Refact-1.6B model was trained on text in English. But it has seen a lot more languages in
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  code comments. Its performance on non-English languages is lower, for sure.
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- ```
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  # Model Stats
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  "<empty_output>ASSISTANT"
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  prompt = prompt_template.format(system="You are a programming assistant",
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  query="How do I sort a list in Python?")
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+ ```
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  # Architecture
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  The Refact-1.6B model was trained on text in English. But it has seen a lot more languages in
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  code comments. Its performance on non-English languages is lower, for sure.
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  # Model Stats
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