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Model Card for Self-instruct-starcoder

This model is an instruction-tuned version of ⭐️ StarCoder. The instruction dataset involved is Self-instruct-starcoder which was built by boostrapping on StarCoder's generations.

Uses

The model was fine-tuned with the following template

Question: <instruction>

Answer: <output>

If you have your model and tokenizer loaded, you can use the following code to make the model generate the right output to a given instruction

instruction = "Write a function to compute the GCD between two integers a and b"
prompt = f"Question:{instruction}\n\nAnswer:"
input_ids = tokenizer(prompt, return_tensors="pt")["input_ids"]
completion = model.generate(input_ids, max_length=200)
print(tokenizer.batch_decode(completion[:,input_ids.shape[1]:])[0])

More information

For additional information, check

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Dataset used to train codeparrot/starcoder-self-instruct

Spaces using codeparrot/starcoder-self-instruct 2

Evaluation results