KaraKaraWitch/Llama-3.3-MagicalGirl-2.5
KaraKaraWitch/Llama-3.3-MagicalGirl-2.5 is a 70 billion parameter language model with a 32768 token context length, developed by KaraKaraWitch. This model is a merge of several pre-trained Llama-3.3 based models, including those with R1 modifications, using the SCE merge method. It aims to enhance intelligence and reduce perceived 'dumbness' compared to its predecessor, MagicalGirl-2. While its UGI-Score is 38.83/100, it is designed for general language tasks with a focus on improved reasoning. Its primary strength lies in its merged architecture, combining diverse Llama-3.3 variants.
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.