Doctor-Shotgun/L3.3-70B-Magnum-Nexus
Doctor-Shotgun/L3.3-70B-Magnum-Nexus is a 70 billion parameter language model based on the Llama 3.3 architecture, fine-tuned by Doctor-Shotgun. This model is a merge of several rsLoRA finetunes, designed to emulate the prose style and quality of Claude 3 Sonnet/Opus models. It excels in creative writing and roleplay scenarios, offering a local-scale alternative for nuanced narrative generation with a 32K context length.
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.
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.