The sail/Qwen2.5-Math-7B-Oat-Zero model is a 7.6 billion parameter language model developed by sail, based on the Qwen2.5-Math-7B architecture. It is specifically fine-tuned using the minimalist R1-Zero recipe and Dr. DRPO algorithm on level 3-5 questions from the MATH dataset. This model is optimized for advanced mathematical reasoning and problem-solving tasks, demonstrating strong performance on widely used math benchmarks.
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sail/Qwen2.5-Math-7B-Oat-ZeroMost 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.