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Quintellect-10.7B

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The Quintellect-10.7B AI model was created to help achieve greater accessibility to coding knowledge and expertise, empowering the community to overcome technological challenges and foster innovation. I developed the model because I believe in democratizing access to coding skills, which are essential for bridging the digital divide and unleashing creativity worldwide.

This model excels in coding tasks, proficiently handling languages like Python and JavaScript. Whether you need assistance with standard programming tasks or require code creation from scratch its a good model to use. With its capabilities, it can guide you through challenging coding problems, offer solutions, or even generate code tailored to your specifications.

The prompt format for the Quintellect-10.7B LLM model is Alpaca

Below is an instruction that describes a task. Write a response that appropriately completes the request.

### Instruction:
{prompt}

### Response:
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Safetensors
Model size
10.7B params
Tensor type
FP16
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Inference Examples
Inference API (serverless) has been turned off for this model.

Dataset used to train Walmart-the-bag/Quintellect-10.7B

Space using Walmart-the-bag/Quintellect-10.7B 1