Pascol53/Qwen2.5-Coder-0.5B-Instruct-Gensyn-Swarm-extinct_agile_baboon is a 0.5 billion parameter instruction-tuned language model based on the Qwen2.5 architecture. This model is designed for code-related tasks, leveraging a substantial 131072 token context length to handle extensive codebases. Its primary strength lies in processing and generating code, making it suitable for development assistance and programming applications. The model's compact size combined with its large context window aims to provide efficient performance for specialized coding use cases.
Loading preview...
Model tree for
Pascol53/Qwen2.5-Coder-0.5B-Instruct-Gensyn-Swarm-extinct_agile_baboonMost 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.