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solar-10_7b-instruct

SOLAR-10.7B-Instruct is a powerful 10.7 billion-parameter LLM with a unique depth up-scaling architecture, excelling in single-turn conversation tasks through advanced instruction fine-tuning methods.

Input

Prompt:

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The maximum number of tokens to generate. Shorter token lengths will provide faster performance.
A decimal number that determines the degree of randomness in the response
An alternative to sampling with temperature, where the model considers the results of the tokens with top_p probability mass.
The top_k parameter is used to limit the number of choices for the next predicted word or token.

Output

Notes

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  • Description
    SOLAR-10.7B-Instruct is a powerful 10.7 billion-parameter LLM with a unique depth up-scaling architecture, excelling in single-turn conversation tasks through advanced instruction fine-tuning methods.
  • Last Updated
    Dec 29, 2023
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    solar-10_7b-instruct