Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base is an 8 billion parameter language model based on the Llama-3.1 architecture, created by Joseph717171. This model is a merge of arcee-ai/Llama-3.1-SuperNova-Lite with its Llama-3.1-8B base, utilizing the TIES merge method. It is specifically engineered to restore and enhance instruction-following capabilities, making it suitable for tasks requiring precise adherence to prompts.
Loading preview...
Model tree for
Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_BaseMost 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.