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L3.1-70b-InoriKaraKaraWitch
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70B Params FP8 Inference Available

KaraKaraWitch/L3.1-70b-Inori is a 70 billion parameter Llama 3.1-based model merge, created by KaraKaraWitch, with a 32768 token context length. This model integrates components like Dracarys for code, Euryale, Cathallama, New Dawn, Celeste for roleplay, and Japanese-Instruct for enhanced Japanese language capabilities. It is designed as a versatile merge, though the creator notes potential inconsistencies in censorship behavior.

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Parameters:70BContext length:32kArchitecture:TransformerPrecision:FP8Quantized variants:Available
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KaraKaraWitch/L3.1-70b-Inori
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.

0.8

top_p

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

0.9

top_k

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

75

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.

1.05

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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