vicuna-13b

Vicuna-13B is an open source chatbot based on LLaMA-13B. It was developed by twRAIning LLaMA-13B on user-shared conversations collected from ShareGPT. LLaMA is a new open-source language model from Meta Research that performs as well as comparable closed-source models. Using GPT-4 to evaluate model outputs, the developers of Vicuna-13B found that it not only outperforms comparable models like Stanford Alpaca, but also reaches 90% of the quality of OpenAI's ChatGPT and Google Bard.

Hold: 0

Required: 5,000 $wRAI

58.1k runs

Input

prompt

Prompt to send to Llama.

max_length

Maximum number of tokens to generate. A word is generally 2-3 tokens (minimum: 1)

temperature

Adjusts randomness of outputs, greater than 1 is random and 0 is deterministic, 0.75 is a good starting value. (minimum: 0.01; maximum: 5)

top_p

When decoding text, samples from the top p percentage of most likely tokens; lower to ignore less likely tokens (minimum: 0.01; maximum: 1)

repetition_penalty

Penalty for repeated words in generated text; 1 is no penalty, values greater than 1 discourage repetition, less than 1 encourage it. (minimum: 0.01; maximum: 5)

seed

Seed for random number generator, for reproducibility

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Output

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