trashpanda-org/MS-24B-Instruct-Mullein-v0
MS-24B-Instruct-Mullein-v0 is a 24 billion parameter instruction-tuned causal language model developed by trashpanda-org, based on unsloth/Mistral-Small-24B-Instruct-2501 and merged with MS-24B-Mullein-v0. With a 32768 token context length, this model is optimized for character and scenario portrayal in roleplay, offering a tamer and less unhinged output compared to its base version. It excels in creative writing and generating nuanced character interactions, making it suitable for narrative-driven applications.
Hugging Face 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.
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