Hi @sage lantern. I'm kapa.ai, your friendly support bot. I will try to answer your question by searching through the knowledge base. :wave:
#asking the bot setup questions, ignore?
random summitBOT
sage lantern
asking the bot setup questions, ignore?
random summitBOT
The maximum context length (n_ctx) is the maximum length of input sequence in tokens that the model can handle. For the Llama 128k model, you would need to refer to the model's specific documentation or configuration to find the exact maximum context length it supports. However, based on the knowledge sources provided, it's not clear what the maximum context length for the Llama 128k model is.
The prompt batch size (Prompt Batch Size) is the token batch size for parallel processing. According to the GPT4All Documentation (https://docs.gpt4all.io/gpt4all_desktop/settings.html#model-settings), the default value is 128. However, this value can be adjusted based on your specific needs and system capabilities.
The temperature (Temperature) adjusts the model's output distribution. A higher temperature increases randomness, resulting in more imaginative and diverse text, while a lower temperature makes the output more focused and predictable. The default value is 0.7, but you can adjust this based on your needs (source (https://docs.gpt4all.io/old/gpt4all_nodejs.html#temperature)).
Top-P (Top P) limits the selection of the next token to a subset of tokens with a cumulative probability above a threshold P. A higher value for Top-P makes the generated text more diverse, while a lower value produces more focused and conservative text. The default value is 0.4 (source (https://docs.gpt4all.io/old/gpt4all_nodejs.html#topp)).
Min-P (Min P) is the minimum relative probability, with a default value of 0.
Top-K (Top K) is the size of the selection pool for tokens, with a default value of 40.
Please note that these settings can be adjusted based on your specific needs and the capabilities of your system. However, changing these settings may affect the performance and output of the model. It's recommended to understand each setting thoroughly before making adjustments.
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sage lantern
what does "not recommended for use on windows without selecting CUDA due to speed issues" mean. what is CUDA