Steelskull/L3.3-Nevoria-R1-70b is a 70 billion parameter language model built upon the Llama 3.3 architecture, incorporating elements from EVA-LLAMA, EURYALE, Anubis, Negative_LLAMA, and DeepSeek-R1-Distill-Llama. This model is specifically designed to enhance storytelling, detailed scene descriptions, and creative reasoning, while also improving prompt adherence and dialogue interaction. It features a unique "weight twisting" merging approach, resulting in distinct response characteristics and a notable tendency to identify and address minor issues in prompts.
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Steelskull/L3.3-Nevoria-R1-70bMost 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.