Sao10K/14B-Qwen2.5-Kunou-v1 is a 14.8 billion parameter language model based on the Qwen2.5 architecture, developed by Sao10K. This model is designed as a generalist and roleplay-oriented language model, serving as a smaller variant in the Kunou series. It utilizes a refined dataset, building upon previous smaller models by the same creator. With a context length of 131072 tokens, it aims to provide robust performance for conversational and creative text generation tasks.
Loading preview...
Model tree for
Sao10K/14B-Qwen2.5-Kunou-v1Most 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.