KaraKaraWitch/GoldDiamondGold-L33-70b
KaraKaraWitch/GoldDiamondGold-L33-70b is a 70 billion parameter merged language model, built upon the deepcogito/cogito-v2-preview-llama-70B base using the SCE merge method. This model integrates components from numerous Llama-family models, focusing on enhanced intelligence, nuanced prose style, and improved roleplaying capabilities. It is designed to be responsive to well-crafted system prompts and aims for a balanced output, despite exhibiting a slight 'horny streak' and 'Claudisms'.
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.
top_p
This setting controls the cumulative probability of considered top tokens. Must be in (0, 1]. Set to 1 to consider all tokens.
top_k
This limits the number of top tokens to consider. Set to -1 to consider all tokens.
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.
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.