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#
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1. [Model Summary](##model-summary)
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2. [Use](##use)
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3. [Limitations](##limitations)
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4. [Training](##training)
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5. [License](##license)
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6. [Citation](##citation)
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## Model Summary
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OctoCoder is an instruction tuned model with 15.5B parameters created by finetuning StarCoder on CommitPackFT & OASST as described in the OctoPack paper.
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</table>
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The model follows instructions provided in the input. We recommend prefacing your input with "Question: " and finishing with "Answer:", for example: "Question: Please write a function in Python that performs bubble sort.\n\nAnswer:"
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**Feel free to share your generations in the Community tab!**
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```python
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# pip install -q transformers
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from transformers import AutoModelForCausalLM, AutoTokenizer
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# Table of Contents
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1. [Model Summary](#model-summary)
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2. [Use](#use)
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3. [Training](#training)
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4. [Citation](#citation)
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# Model Summary
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OctoCoder is an instruction tuned model with 15.5B parameters created by finetuning StarCoder on CommitPackFT & OASST as described in the OctoPack paper.
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</table>
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# Use
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## Intended use
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The model follows instructions provided in the input. We recommend prefacing your input with "Question: " and finishing with "Answer:", for example: "Question: Please write a function in Python that performs bubble sort.\n\nAnswer:"
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**Feel free to share your generations in the Community tab!**
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## Generation
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```python
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# pip install -q transformers
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from transformers import AutoModelForCausalLM, AutoTokenizer
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