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# Model Card for Model ID |
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<!-- Provide a quick summary of what the model is/does. --> |
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This model is an instruction-tuned version of ⭐️ StarCoder. The instruction dataset involved is [Self-instruct-starcoder](https://huggingface.co/datasets/codeparrot/self-instruct-starcoder) |
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which was built by boostrapping on StarCoder's generations. |
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## Uses |
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> |
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### Direct Use |
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> |
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The model was fine-tuned with the following template |
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``` |
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Question: <instruction> |
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Answer: <output> |
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``` |
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For example, your prompt can look like |
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```python |
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instruction = "Write a function to compute the GCD between two integers a and b" |
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prompt = f"Question:{instruction}\n\nAnswer:" |
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input_ids = tokenizer(prompt, return_tensors="pt")["input_ids"] |
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completion = model.generate(input_ids, max_length=200) |
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print(tokenizer.batch_decode(completion[:,input_ids.shape[1]:])[0]) |
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``` |
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