The sthenno-com/miscii-14b-1028 is a 14.8 billion parameter language model developed by sthenno-com, featuring a substantial context length of 131072 tokens. This model is specifically designed for role-based instruction following, allowing for detailed persona definitions for both user and assistant within its system prompt structure. It demonstrates strong performance in instruction following (IFEval 82.37) and Big-Bench Hard (BBH 49.26), making it suitable for applications requiring precise adherence to defined roles and complex reasoning tasks.
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sthenno-com/miscii-14b-1028Most 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.