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Anthrobomination-70BMawdistical
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70B Params FP8 Inference Available

Anthrobomination-70B by Mawdistical is a 70 billion parameter merged language model based on RAWMAW-70B, incorporating multiple other 70B models. This model is designed for explicit content generation, leveraging a diverse set of merged components to achieve its specific output characteristics. It is intended for users seeking a model capable of generating content with an explicit nature, with recommended temperature settings between 0.6 and 0.9 for optimal results.

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Parameters:70BContext length:32kArchitecture:TransformerPrecision:FP8Quantized variants:AvailableLast updated:July 2025
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Mawdistical/Anthrobomination-70B
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.

0.92

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.

40

frequency_penalty

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

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

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.

0.02