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Llama-3-TenyxChat-DaybreakStorywriter-70BEnvoid
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70B Params FP8 Open Weights Inference Available

Envoid/Llama-3-TenyxChat-DaybreakStorywriter-70B is a 70 billion parameter language model, a 50/50 SLERP merge of crestf411/L3-70B-daybreak-storywriter-v0.4 and tenyx/Llama3-TenyxChat-70B. This model is specifically optimized for novelty roleplay scenarios, demonstrating significantly higher scores on the private NALA evaluation compared to other models. It utilizes the Llama-3-Instruct prompt format and has a context length of 8192 tokens.

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Parameters:70BContext length:8kArchitecture:TransformerPrecision:FP8Quantized variants:Available
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Envoid/Llama-3-TenyxChat-DaybreakStorywriter-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.

0.1

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.

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.

1.1

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