EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1 is a 70 billion parameter full-parameter fine-tune of Llama-3.3-70B-Instruct, developed by Kearm, Auri, and Cahvay. This model specializes in roleplay and story writing, leveraging a greatly expanded data mixture for enhanced versatility, creativity, and narrative "flavor." It features a 32768 token context length and is optimized for generating engaging and stable long-form text.
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.