TareksGraveyard/Thespian-LLaMa-70B is a 70 billion parameter language model created by TareksGraveyard, built upon the LLaMa architecture. This model is a merge of several Llama-based models, including SicariusSicariiStuff/Negative_LLAMA_70B and Sao10K/L3.3-70B-Euryale-v2.3, using the della merge method with nbeerbower/Llama-3.1-Nemotron-lorablated-70B as its base. It is designed to combine the strengths of its constituent models, offering a broad range of general-purpose language generation capabilities with a 32768 token context length.
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TareksGraveyard/Thespian-LLaMa-70BMost 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.