The Sao10K/72B-Qwen2.5-Kunou-v1 is a 72.7 billion parameter causal language model based on the Qwen2.5 architecture, developed by Sao10K. This model is designed as a generalist with a particular focus on roleplay and creative instruction tasks, building upon a refined dataset from previous Euryale and Stheno lineage models. With a context length of 131072 tokens, it offers extensive conversational capabilities for complex interactions. It serves as a successor to earlier models, utilizing a cleaned and improved dataset for enhanced performance in creative domains.
Loading preview...
Quick Stats
10
Model tree for
Sao10K/72B-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.