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+ ---
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+ # For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1
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+ # Doc / guide: https://huggingface.co/docs/hub/model-cards
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+ {}
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+ ---
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+
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+ # Model Card for Model ID
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+
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+ <!-- Provide a quick summary of what the model is/does. -->
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+
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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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+
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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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+
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+ ### Direct Use
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+
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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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+
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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)
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+ print(tokenizer.decode(completion[len(input_ids):])[0])
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+ ```
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+