lpetreadg/Llama-3-8B-merged-2-bf16 is an 8 billion parameter language model, likely based on the Llama 3 architecture, that has been merged and converted to bf16 precision. This model is suitable for general-purpose natural language understanding and generation tasks, offering a balance between performance and computational efficiency. Its bf16 precision makes it optimized for deployment on hardware that supports this format, potentially leading to faster inference and reduced memory footprint.
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lpetreadg/Llama-3-8B-merged-2-bf16Most 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.