sophosympatheia/Nova-Tempus-70B-v0.1
Nova-Tempus-70B-v0.1 by sophosympatheia is a 70 billion parameter Llama 3-based merged language model with a 32768 token context length. This uncensored model is specifically designed and optimized for high-quality roleplaying and storytelling tasks, excelling in creative narrative generation. It is a complex merge of several Llama 3 models, including EVA-LLaMA-3.33-70B-v0.1, L3.3-70B-Euryale-v2.3, 70B-L3.3-Cirrus-x1, Anubis-70B-v1, Llama-3.3-70B-Instruct, and Llama-3.1-70B.
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.