HF Hub LLM Connector

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Hugging Face Hub Settings

Repo ID

The model name to be used, in the format <organization_name>/<model_name>. For example, Writer/camel-5b-hf. You can find available models at the Hugging Face Models repository.

Model Task

Task type for a given model.

Please ensure that the model capabilities align with the chosen task.

Available options:

• text-generation: A popular variant of Text Generation where the model predicts the next word given a sequence of words. GPT-based models, such as GPT-3, are commonly used for this task. Available text generation models

• text2text-generation: Task used for mapping between pairs of texts, such as translation from one language to another. Available text-to-text generation models

• summarization: Task used for generating text summaries. Available summarization models

Model Parameters

Top k

The number of top-k tokens to consider when generating text.

Typical p

The typical probability threshold for generating text.

Repetition penalty

The repetition penalty to use when generating text.

Max new tokens

The maximum number of tokens to generate in the completion.

The token count of your prompt plus max new tokens cannot exceed the model's context length.

Temperature

Sampling temperature to use, between 0.0 and 100.0. Higher values will make the output more random, while lower values will make it more focused and deterministic.

Top-p sampling

An alternative to sampling with temperature, where the model considers the results of the tokens (words) with top_p probability mass. Hence, 0.1 means only the tokens comprising the top 10% probability mass are considered.

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