nateraw/goliath-120b

An auto-regressive causal LM created by combining 2x finetuned Llama-2 70B into one.

Input
Configure the inputs for the AI model.
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100

The number of highest probability tokens to consider for generating the output. If > 0, only keep the top k tokens with highest probability (top-k filtering).

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100

A probability threshold for generating the output. If < 1.0, only keep the top tokens with cumulative probability >= top_p (nucleus filtering). Nucleus filtering is described in Holtzman et al. (http://arxiv.org/abs/1904.09751).

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100

The value used to modulate the next token probabilities.

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100

The maximum number of tokens the model should generate as output.

The template used to format the prompt. The input prompt is inserted into the template using the `{prompt}` placeholder.

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100

Presence penalty

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100

Frequency penalty

Output
The generated output will appear here.

No output yet

Click "Generate" to create an output.

goliath-120b - ikalos.ai