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README.md
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As is, CARROT supports routing to the collection of large language models provided in the table below. Instantiating the CarrotRouter class automatically loads the trained predictors for ouput token count and performance that are provided below. Note that you
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| | claude-3-5-sonnet-v1 | titan-text-premier-v1 | openai-gpt-4o | openai-gpt-4o-mini | granite-3-2b-instruct | granite-3-8b-instruct | llama-3-1-70b-instruct | llama-3-1-8b-instruct | llama-3-2-1b-instruct | llama-3-2-3b-instruct | llama-3-3-70b-instruct | mixtral-8x7b-instruct | llama-3-405b-instruct |
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As is, CARROT supports routing to the collection of large language models provided in the table below. Instantiating the CarrotRouter class automatically loads the trained predictors for ouput token count and performance that are provided below. Note that you must provide a hugging face token with access to the Llama-3 herd of models. mu takes a value between 0 and 1, this controls the cost performance trade off. A smaller mu will prioritize perofrmance!
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| | claude-3-5-sonnet-v1 | titan-text-premier-v1 | openai-gpt-4o | openai-gpt-4o-mini | granite-3-2b-instruct | granite-3-8b-instruct | llama-3-1-70b-instruct | llama-3-1-8b-instruct | llama-3-2-1b-instruct | llama-3-2-3b-instruct | llama-3-3-70b-instruct | mixtral-8x7b-instruct | llama-3-405b-instruct |
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