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Evathene-v1.3Sophosympatheia
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72.7B Params FP8 Inference Available

Evathene-v1.3 is a 72.7 billion parameter language model developed by sophosympatheia, created by merging Evathene-v1.1 and Evathene-v1.2. This model is specifically designed and optimized for roleplaying and storytelling, offering a blend of personality and intelligence. It excels at generating engaging narratives and character interactions, making it suitable for creative writing applications.

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Parameters:72.7BContext length:33kArchitecture:TransformerPrecision:FP8Quantized variants:AvailableLast updated:November 2024
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sophosympatheia/Evathene-v1.3
Popular Sampler Settings

Most commonly used values from Featherless users

temperature

This setting influences the sampling randomness. Lower values make the model more deterministic; higher values introduce randomness. Zero is greedy sampling.

0.94

top_p

This setting controls the cumulative probability of considered top tokens. Must be in (0, 1]. Set to 1 to consider all tokens.

1

top_k

This limits the number of top tokens to consider. Set to -1 to consider all tokens.

80

frequency_penalty

This setting penalizes new tokens based on their frequency in the generated text. Values > 0 encourage new tokens; < 0 encourages repetition.

0.09

presence_penalty

This setting penalizes new tokens based on their presence in the generated text so far. Values > 0 encourage new tokens; < 0 encourages repetition.

–

repetition_penalty

This setting penalizes new tokens based on their appearance in the prompt and generated text. Values > 1 encourage new tokens; < 1 encourages repetition.

1.15

min_p

This setting representing the minimum probability for a token to be considered relative to the most likely token. Must be in [0, 1]. Set to 0 to disable.

0.05