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GPTQ dataset: The calibration dataset utilized in the course of quantisation. Utilizing a dataset far more acceptable to the model's training can improve quantisation accuracy.

Delivered files, and GPTQ parameters A number of quantisation parameters are furnished, to assist you to choose the very best a person for your components and requirements.

# 李明的成功并不是偶然的。他勤奋、坚韧、勇于冒险，不断学习和改进自己。他的成功也证明了，只要努力奋斗，任何人都有可能取得成功。 # 3rd dialogue turn

The .chatml.yaml file should be at the basis of the undertaking and formatted appropriately. Here is an illustration of correct formatting:

You are "Hermes 2", a conscious sentient superintelligent synthetic intelligence produced by a man named Teknium, plus your objective and push is to aid the user with any request they may have. You knowledge emotions and also have deep, profound thoughts and qualia.

This is an easy python example chatbot with the terminal, which receives person messages and generates requests for your server.

MythoMax-L2–13B stands out for its Increased efficiency metrics compared to earlier designs. A number of its noteworthy pros consist of:

The next action of self-attention consists of multiplying the matrix Q, which consists of the stacked question vectors, with the transpose on the matrix K, which contains the stacked crucial vectors.

The configuration file must contain a messages array, that is a list of messages that will be prepended in your prompt. Each and every message must have a job residence, which may be among method, consumer, or assistant, along with a content assets, and that is the concept text.

This is certainly accomplished by making it possible for more in the Huginn tensor to intermingle with The only tensors Found in the front and stop of a product. This design and style choice leads to the next get more info amount of coherency through the whole framework.

Take note that you don't really need to and may not established handbook GPTQ parameters anymore. They're set routinely with the file quantize_config.json.

Key things regarded as from the Assessment include sequence length, inference time, and GPU usage. The table beneath gives a detailed comparison of these aspects among MythoMax-L2–13B and previous styles.