Infermatic/MN-12B-Inferor-v0.0 is a 12 billion parameter language model created by Infermatic, merged using the Model Stock method with anthracite-org/magnum-v4-12b as its base. This model integrates components from nbeerbower/Mistral-Nemo-Gutenberg-Doppel-12B-v2, nothingiisreal/MN-12B-Starcannon-v3, and Fizzarolli/MN-12b-Sunrose. It is designed for general language generation tasks, leveraging the combined strengths of its constituent models.
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Infermatic/MN-12B-Inferor-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.