Stellar-Odyssey-12b-v0.0 by ProdeusUnity is a 12 billion parameter merged language model with a 32768 token context length, built upon the Mistral-Nemo-Base-2407 architecture. This model is specifically designed and optimized for roleplay applications, combining components from Sao10K/MN-12B-Lyra-v4, nothingiisreal/MN-12B-Starcannon-v2, and Gryphe/Pantheon-RP-1.5-12b-Nemo. It utilizes the della_linear merge method and is intended for generating engaging and nuanced roleplay interactions.
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ProdeusUnity/Stellar-Odyssey-12b-v0.0Most 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.