Nonamec/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-invisible_playful_cat is a 0.5 billion parameter instruction-tuned language model based on the Qwen2.5 architecture. This model is designed for general conversational AI tasks, leveraging its compact size for efficient deployment. It features a substantial 131,072 token context length, making it suitable for processing extensive inputs despite its smaller parameter count. The model aims to provide a capable yet resource-friendly solution for various interactive applications.
Loading preview...
Model tree for
Nonamec/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-invisible_playful_catMost 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.