Moraliane/SAINEMO-reMIX is a 12 billion parameter language model, a merge of several pre-trained models including IlyaGusev_saiga_nemo_12b, MarinaraSpaghetti_NemoMix-Unleashed-12B, elinas_Chronos-Gold-12B-1.0, and Vikhrmodels_Vikhr-Nemo-12B-Instruct-R-21-09-24. This model, with a 32768 token context length, is specifically designed for enhanced performance in both Russian language tasks and roleplay scenarios, leveraging a della_linear merge method. Its primary strength lies in its balanced support for Russian language generation and creative text applications.
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Moraliane/SAINEMO-reMIXMost 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.
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.
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.