Blackroot/Mirai-70B-1.0
Blackroot/Mirai-70B-1.0 is a 70 billion parameter stockmerge model, built upon a Llama-3.1-Nemotron-70B-Instruct base and enhanced with multiple Llama-3.1 and Llama-3 variants. This model excels in generating high-quality, varied prose and intricate narratives, making it particularly suited for complex roleplay and creative writing applications. It demonstrates improved logic, reasoning, and reduced repetition compared to previous iterations, with a 32K token context length.
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.
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.