Codeninja 7B Q4 How To Use Prompt Template

Paste, drop or click to upload images (.png,.jpeg,.jpg,.svg,.gif) I am trying to write a simple program using codellama and langchain. This method also ensures that users are prepared as they. But it does not produce satisfactory output. These files were quantised using hardware kindly provided by massed compute.

To use the model, you need to provide input in the form of tokenized text sequences. The simplest way to engage with codeninja is via the quantized versions. I understand getting the right prompt format is critical for better answers. To begin your journey, follow these steps: I am trying to write a simple program using codellama and langchain.

Paste, drop or click to upload images (.png,.jpeg,.jpg,.svg,.gif) You need to strictly follow prompt templates and keep your questions short. To begin your journey, follow these steps: The model expects the input to be in the following format: These files were quantised using hardware kindly provided by massed compute.

It focuses on leveraging python and the jinja2. To use the model, you need to provide input in the form of tokenized text sequences. Gptq models for gpu inference, with multiple quantisation parameter options. I understand getting the right prompt format is critical for better answers. Users are facing an issue with imported llava:

But it does not produce satisfactory output. We will need to develop model.yaml to easily define model capabilities (e.g. Gptq models for gpu inference, with multiple quantisation parameter options. To use the model, you need to provide input in the form of tokenized text sequences. This tutorial provides a comprehensive introduction to creating and using prompt templates with variables in.

It focuses on leveraging python and the jinja2. Gptq models for gpu inference, with multiple quantisation parameter options. You need to strictly follow prompt. We will need to develop model.yaml to easily define model capabilities (e.g. To use the model, you need to provide input in the form of tokenized text sequences.

I am trying to write a simple program using codellama and langchain. Users are facing an issue with imported llava: But it does not produce satisfactory output. This tutorial provides a comprehensive introduction to creating and using prompt templates with variables in the context of ai language models. And everytime we run this program it produces some different.

You need to strictly follow prompt templates and keep your questions short. We will need to develop model.yaml to easily define model capabilities (e.g. Gptq models for gpu inference, with multiple quantisation parameter options. This tutorial provides a comprehensive introduction to creating and using prompt templates with variables in the context of ai language models. Hermes pro and starling are.