FractalAIResearch/Fathom-R1-14B
FractalAIResearch's Fathom-R1-14B is a 14-billion-parameter reasoning language model derived from Deepseek-R1-Distilled-Qwen-14B, optimized for mathematical reasoning within a 16K context window. It achieves performance comparable to closed-source o4-mini models on olympiad-level math exams like AIME-25 and HMMT-25, with a total post-training cost of $499. This model excels at complex mathematical problem-solving, demonstrating significant improvements over its base model and other open-source alternatives.
Hugging Face Popular Sampler Settings
Most 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.
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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.
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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.