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Cydonia-R1-24B-v4TheDrummer
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24B Params FP8 Inference Available

TheDrummer/Cydonia-R1-24B-v4 is a 24 billion parameter language model based on the Mistral v7 Tekken architecture, developed by TheDrummer. This model is noted for its creative writing capabilities, ability to maintain narrative consistency with multiple characters, and strong reasoning, making it suitable for complex storytelling and roleplay applications. It demonstrates solid response quality and engaging internal thought processes.

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Parameters:24BContext length:32kArchitecture:TransformerPrecision:FP8Quantized variants:AvailableLast updated:August 2025
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TheDrummer/Cydonia-R1-24B-v4
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.

0.7

top_p

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

0.95

top_k

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

100

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.

0.1