Nitral-AI/Captain-Eris-Diogenes_Twilight-V0.420-12B
Nitral-AI/Captain-Eris-Diogenes_Twilight-V0.420-12B is a 12 billion parameter merged language model, combining Nitral-AI/Captain-Eris_Twilight-V0.420-12B and Nitral-AI/Diogenes-12B-ChatMLified. This model leverages a slerp merge method with specific layer filtering to create a unique blend of capabilities. With a 32768 token context length, it is optimized for instruction-following and chat-based applications, offering enhanced conversational performance.
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.
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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.