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writing-roleplay-20k-context-nemo-12b-v1.0Openerotica
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12B Params FP8 Inference Available

The openerotica/writing-roleplay-20k-context-nemo-12b-v1.0 is a 12 billion parameter Mistral-Nemo-Base-2407 model fine-tuned for storywriting and multi-turn roleplay. It features a significant amount of self-generated long-context roleplay data, with conversations up to 20,000 tokens, and is designed to maintain coherence over extended interactions. This model excels at generating creative narratives and engaging roleplay scenarios, leveraging a diverse dataset including synthetic roleplay and story prompts.

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Parameters:12BContext length:32kArchitecture:TransformerPrecision:FP8Quantized variants:AvailableLast updated:October 2024
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openerotica/writing-roleplay-20k-context-nemo-12b-v1.0
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.

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top_p

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

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top_k

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

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frequency_penalty

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

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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.

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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.

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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.

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