Dria-Agent-α-3B is a 3.1 billion parameter large language model developed by driaforall, fine-tuned from Qwen2.5-Coder-3B-Instruct. This model specializes in agentic applications, particularly excelling at Pythonic function calling for complex, multi-step interactions with tools. It supports one-shot parallel function calls and generates free-form reasoning traces, making it suitable for advanced automation and task execution.
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driaforall/Dria-Agent-a-3BMost 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.